diff --git "a/notebooks/.ipynb_checkpoints/Data Exploration-checkpoint.ipynb" "b/notebooks/.ipynb_checkpoints/Data Exploration-checkpoint.ipynb" new file mode 100644--- /dev/null +++ "b/notebooks/.ipynb_checkpoints/Data Exploration-checkpoint.ipynb" @@ -0,0 +1,19900 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Importing libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import plotly.express as px" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/hq/f_rzh7j51m1ddfp3xw6s1qsr0000gn/T/ipykernel_37275/999401346.py:1: DtypeWarning: Columns (16) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " df = pd.read_csv('../complaints.csv')\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Date receivedProductSub-productIssueSub-issueConsumer complaint narrativeCompany public responseCompanyStateZIP codeTagsConsumer consent provided?Submitted viaDate sent to companyCompany response to consumerTimely response?Consumer disputed?Complaint ID
02024-02-28Credit reporting or other personal consumer re...Credit reportingProblem with a company's investigation into an...Their investigation did not fix an error on yo...NaNNaNTRANSUNION INTERMEDIATE HOLDINGS, INC.NV89081NaNNaNWeb2024-02-28In progressYesNaN8436094
12024-02-23Credit reporting or other personal consumer re...Credit reportingImproper use of your reportCredit inquiries on your report that you don't...NaNNaNExperian Information Solutions Inc.TX76140NaNOtherWeb2024-02-23In progressYesNaN8404915
22024-02-22Credit reporting or other personal consumer re...Credit reportingIncorrect information on your reportInformation belongs to someone elseNaNNaNEQUIFAX, INC.FL33173NaNOtherWeb2024-02-22In progressYesNaN8391349
32024-02-22Credit reporting or other personal consumer re...Credit reportingIncorrect information on your reportInformation belongs to someone elseNaNNaNResurgent Capital Services L.P.NJ08075ServicememberNaNWeb2024-02-22Closed with explanationYesNaN8391367
42024-02-22Credit reporting or other personal consumer re...Credit reportingImproper use of your reportReporting company used your report improperlyNaNNaNEQUIFAX, INC.CA91302NaNNaNWeb2024-02-22In progressYesNaN8391001
\n", + "
" + ], + "text/plain": [ + " Date received Product \\\n", + "0 2024-02-28 Credit reporting or other personal consumer re... \n", + "1 2024-02-23 Credit reporting or other personal consumer re... \n", + "2 2024-02-22 Credit reporting or other personal consumer re... \n", + "3 2024-02-22 Credit reporting or other personal consumer re... \n", + "4 2024-02-22 Credit reporting or other personal consumer re... \n", + "\n", + " Sub-product Issue \\\n", + "0 Credit reporting Problem with a company's investigation into an... \n", + "1 Credit reporting Improper use of your report \n", + "2 Credit reporting Incorrect information on your report \n", + "3 Credit reporting Incorrect information on your report \n", + "4 Credit reporting Improper use of your report \n", + "\n", + " Sub-issue \\\n", + "0 Their investigation did not fix an error on yo... \n", + "1 Credit inquiries on your report that you don't... \n", + "2 Information belongs to someone else \n", + "3 Information belongs to someone else \n", + "4 Reporting company used your report improperly \n", + "\n", + " Consumer complaint narrative Company public response \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + " Company State ZIP code Tags \\\n", + "0 TRANSUNION INTERMEDIATE HOLDINGS, INC. NV 89081 NaN \n", + "1 Experian Information Solutions Inc. TX 76140 NaN \n", + "2 EQUIFAX, INC. FL 33173 NaN \n", + "3 Resurgent Capital Services L.P. NJ 08075 Servicemember \n", + "4 EQUIFAX, INC. CA 91302 NaN \n", + "\n", + " Consumer consent provided? Submitted via Date sent to company \\\n", + "0 NaN Web 2024-02-28 \n", + "1 Other Web 2024-02-23 \n", + "2 Other Web 2024-02-22 \n", + "3 NaN Web 2024-02-22 \n", + "4 NaN Web 2024-02-22 \n", + "\n", + " Company response to consumer Timely response? Consumer disputed? \\\n", + "0 In progress Yes NaN \n", + "1 In progress Yes NaN \n", + "2 In progress Yes NaN \n", + "3 Closed with explanation Yes NaN \n", + "4 In progress Yes NaN \n", + "\n", + " Complaint ID \n", + "0 8436094 \n", + "1 8404915 \n", + "2 8391349 \n", + "3 8391367 \n", + "4 8391001 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('../complaints.csv')\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date received 0\n", + "Product 0\n", + "Sub-product 235290\n", + "Issue 0\n", + "Sub-issue 729128\n", + "Consumer complaint narrative 3083057\n", + "Company public response 2524796\n", + "Company 0\n", + "State 44576\n", + "ZIP code 30224\n", + "Tags 4329064\n", + "Consumer consent provided? 969551\n", + "Submitted via 0\n", + "Date sent to company 0\n", + "Company response to consumer 9\n", + "Timely response? 0\n", + "Consumer disputed? 4026225\n", + "Complaint ID 0\n", + "dtype: int64" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['Date received'] = pd.to_datetime(df['Date received'])\n", + "df.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(4794541, 18)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Choosing only required columns" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ProductSub-productIssueSub-issueConsumer complaint narrativeCompany public responseCompanyStateZIP codeDate received
0Credit reporting or other personal consumer re...Credit reportingProblem with a company's investigation into an...Their investigation did not fix an error on yo...NaNNaNTRANSUNION INTERMEDIATE HOLDINGS, INC.NV890812024-02-28
1Credit reporting or other personal consumer re...Credit reportingImproper use of your reportCredit inquiries on your report that you don't...NaNNaNExperian Information Solutions Inc.TX761402024-02-23
2Credit reporting or other personal consumer re...Credit reportingIncorrect information on your reportInformation belongs to someone elseNaNNaNEQUIFAX, INC.FL331732024-02-22
3Credit reporting or other personal consumer re...Credit reportingIncorrect information on your reportInformation belongs to someone elseNaNNaNResurgent Capital Services L.P.NJ080752024-02-22
4Credit reporting or other personal consumer re...Credit reportingImproper use of your reportReporting company used your report improperlyNaNNaNEQUIFAX, INC.CA913022024-02-22
\n", + "
" + ], + "text/plain": [ + " Product Sub-product \\\n", + "0 Credit reporting or other personal consumer re... Credit reporting \n", + "1 Credit reporting or other personal consumer re... Credit reporting \n", + "2 Credit reporting or other personal consumer re... Credit reporting \n", + "3 Credit reporting or other personal consumer re... Credit reporting \n", + "4 Credit reporting or other personal consumer re... Credit reporting \n", + "\n", + " Issue \\\n", + "0 Problem with a company's investigation into an... \n", + "1 Improper use of your report \n", + "2 Incorrect information on your report \n", + "3 Incorrect information on your report \n", + "4 Improper use of your report \n", + "\n", + " Sub-issue \\\n", + "0 Their investigation did not fix an error on yo... \n", + "1 Credit inquiries on your report that you don't... \n", + "2 Information belongs to someone else \n", + "3 Information belongs to someone else \n", + "4 Reporting company used your report improperly \n", + "\n", + " Consumer complaint narrative Company public response \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + " Company State ZIP code Date received \n", + "0 TRANSUNION INTERMEDIATE HOLDINGS, INC. NV 89081 2024-02-28 \n", + "1 Experian Information Solutions Inc. TX 76140 2024-02-23 \n", + "2 EQUIFAX, INC. FL 33173 2024-02-22 \n", + "3 Resurgent Capital Services L.P. NJ 08075 2024-02-22 \n", + "4 EQUIFAX, INC. CA 91302 2024-02-22 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cols_to_consider = ['Product','Sub-product','Issue','Sub-issue','Consumer complaint narrative','Company public response','Company',\n", + " 'State', 'ZIP code', 'Date received']\n", + "df_new = df[cols_to_consider]\n", + "df_new.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Product 0\n", + "Sub-product 235290\n", + "Issue 0\n", + "Sub-issue 729128\n", + "Consumer complaint narrative 3083057\n", + "Company public response 2524796\n", + "Company 0\n", + "State 44576\n", + "ZIP code 30224\n", + "Date received 0\n", + "dtype: int64" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_new.isna().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Dropping all NA values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df_new = df_new.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(773703, 10)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_new.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ProductSub-productIssueSub-issueConsumer complaint narrativeCompany public responseCompanyStateZIP codeDate received
48Credit cardGeneral-purpose credit card or charge cardProblem with a purchase shown on your statementCredit card company isn't resolving a dispute ...I paid {$1000.00} to have artwork restored, ma...Company has responded to the consumer and the ...CITIBANK, N.A.LA701XX2024-02-17
83Credit reporting or other personal consumer re...Credit reportingImproper use of your reportReporting company used your report improperlySubject : Cease and Desist Letter Regarding Un...Company has responded to the consumer and the ...PENTAGON FEDERAL CREDIT UNIONNJ077532024-02-17
132Checking or savings accountChecking accountOpening an accountDidn't receive terms that were advertisedHello, I opened a new account with Wells Fargo...Company has responded to the consumer and the ...WELLS FARGO & COMPANYCA926482024-02-13
135Debt collectionI do not knowAttempts to collect debt not owedDebt is not yoursThis issue shows that I opened an account on X...Company has responded to the consumer and the ...FIRST NATIONAL BANK OF OMAHAAZ850142024-02-12
142Checking or savings accountChecking accountManaging an accountProblem using a debit or ATM cardI filed a claim with Wells fargo, my purse was...Company has responded to the consumer and the ...WELLS FARGO & COMPANYMN553XX2024-02-14
\n", + "
" + ], + "text/plain": [ + " Product \\\n", + "48 Credit card \n", + "83 Credit reporting or other personal consumer re... \n", + "132 Checking or savings account \n", + "135 Debt collection \n", + "142 Checking or savings account \n", + "\n", + " Sub-product \\\n", + "48 General-purpose credit card or charge card \n", + "83 Credit reporting \n", + "132 Checking account \n", + "135 I do not know \n", + "142 Checking account \n", + "\n", + " Issue \\\n", + "48 Problem with a purchase shown on your statement \n", + "83 Improper use of your report \n", + "132 Opening an account \n", + "135 Attempts to collect debt not owed \n", + "142 Managing an account \n", + "\n", + " Sub-issue \\\n", + "48 Credit card company isn't resolving a dispute ... \n", + "83 Reporting company used your report improperly \n", + "132 Didn't receive terms that were advertised \n", + "135 Debt is not yours \n", + "142 Problem using a debit or ATM card \n", + "\n", + " Consumer complaint narrative \\\n", + "48 I paid {$1000.00} to have artwork restored, ma... \n", + "83 Subject : Cease and Desist Letter Regarding Un... \n", + "132 Hello, I opened a new account with Wells Fargo... \n", + "135 This issue shows that I opened an account on X... \n", + "142 I filed a claim with Wells fargo, my purse was... \n", + "\n", + " Company public response \\\n", + "48 Company has responded to the consumer and the ... \n", + "83 Company has responded to the consumer and the ... \n", + "132 Company has responded to the consumer and the ... \n", + "135 Company has responded to the consumer and the ... \n", + "142 Company has responded to the consumer and the ... \n", + "\n", + " Company State ZIP code Date received \n", + "48 CITIBANK, N.A. LA 701XX 2024-02-17 \n", + "83 PENTAGON FEDERAL CREDIT UNION NJ 07753 2024-02-17 \n", + "132 WELLS FARGO & COMPANY CA 92648 2024-02-13 \n", + "135 FIRST NATIONAL BANK OF OMAHA AZ 85014 2024-02-12 \n", + "142 WELLS FARGO & COMPANY MN 553XX 2024-02-14 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_new.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Taking just 2023 data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ProductSub-productIssueSub-issueConsumer complaint narrativeCompany public responseCompanyStateZIP codeDate received
0Checking or savings accountOther banking product or serviceOpening an accountAccount opened without my consent or knowledgeDate : XXXX XXXXo : XXXX XXXX XXXX / XXXX XXXX...Company has responded to the consumer and the ...WELLS FARGO & COMPANYNC275132023-12-29
1Credit reporting or other personal consumer re...Credit reportingProblem with a company's investigation into an...Investigation took more than 30 daysI have previously disputed this item with you ...Company has responded to the consumer and the ...Experian Information Solutions Inc.MN551242023-12-29
2Debt collectionOther debtAttempts to collect debt not owedDebt was result of identity theftI kindly request that you update my credit rep...Company has responded to the consumer and the ...Experian Information Solutions Inc.IL606212023-12-28
3Debt collectionOther debtAttempts to collect debt not owedDebt was result of identity theftI implore you to conduct a comprehensive inves...Company has responded to the consumer and the ...Experian Information Solutions Inc.NJ087232023-12-28
4Credit reporting or other personal consumer re...Credit reportingIncorrect information on your reportInformation belongs to someone elseIn accordance with the Fair Credit Reporting A...Company has responded to the consumer and the ...TRANSUNION INTERMEDIATE HOLDINGS, INC.TX773772023-11-27
\n", + "
" + ], + "text/plain": [ + " Product \\\n", + "0 Checking or savings account \n", + "1 Credit reporting or other personal consumer re... \n", + "2 Debt collection \n", + "3 Debt collection \n", + "4 Credit reporting or other personal consumer re... \n", + "\n", + " Sub-product \\\n", + "0 Other banking product or service \n", + "1 Credit reporting \n", + "2 Other debt \n", + "3 Other debt \n", + "4 Credit reporting \n", + "\n", + " Issue \\\n", + "0 Opening an account \n", + "1 Problem with a company's investigation into an... \n", + "2 Attempts to collect debt not owed \n", + "3 Attempts to collect debt not owed \n", + "4 Incorrect information on your report \n", + "\n", + " Sub-issue \\\n", + "0 Account opened without my consent or knowledge \n", + "1 Investigation took more than 30 days \n", + "2 Debt was result of identity theft \n", + "3 Debt was result of identity theft \n", + "4 Information belongs to someone else \n", + "\n", + " Consumer complaint narrative \\\n", + "0 Date : XXXX XXXXo : XXXX XXXX XXXX / XXXX XXXX... \n", + "1 I have previously disputed this item with you ... \n", + "2 I kindly request that you update my credit rep... \n", + "3 I implore you to conduct a comprehensive inves... \n", + "4 In accordance with the Fair Credit Reporting A... \n", + "\n", + " Company public response \\\n", + "0 Company has responded to the consumer and the ... \n", + "1 Company has responded to the consumer and the ... \n", + "2 Company has responded to the consumer and the ... \n", + "3 Company has responded to the consumer and the ... \n", + "4 Company has responded to the consumer and the ... \n", + "\n", + " Company State ZIP code Date received \n", + "0 WELLS FARGO & COMPANY NC 27513 2023-12-29 \n", + "1 Experian Information Solutions Inc. MN 55124 2023-12-29 \n", + "2 Experian Information Solutions Inc. IL 60621 2023-12-28 \n", + "3 Experian Information Solutions Inc. NJ 08723 2023-12-28 \n", + "4 TRANSUNION INTERMEDIATE HOLDINGS, INC. TX 77377 2023-11-27 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023 = df_new[df_new['Date received'].dt.year.isin([2023])].reset_index(drop=True)\n", + "df_2023.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(265315, 10)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Credit reporting, credit repair services, or other personal consumer reports 139134\n", + "Credit reporting or other personal consumer reports 74578\n", + "Checking or savings account 15157\n", + "Debt collection 11783\n", + "Credit card or prepaid card 9803\n", + "Credit card 6264\n", + "Vehicle loan or lease 3678\n", + "Mortgage 2290\n", + "Student loan 2281\n", + "Prepaid card 259\n", + "Payday loan, title loan, or personal loan 69\n", + "Payday loan, title loan, personal loan, or advance loan 19\n", + "Name: Product, dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Product'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Merging the product categories into fewer ones" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "product_map = {'Credit reporting or other personal consumer reports' : 'Credit Reporting',\n", + " 'Credit reporting, credit repair services, or other personal consumer reports' : 'Credit Reporting',\n", + " 'Payday loan, title loan, personal loan, or advance loan' : 'Loans / Mortgage',\n", + " 'Payday loan, title loan, or personal loan' : 'Loans / Mortgage',\n", + " 'Student loan' : 'Loans / Mortgage',\n", + " 'Vehicle loan or lease' : 'Loans / Mortgage',\n", + " 'Debt collection' : 'Debt collection',\n", + " 'Credit card or prepaid card' : 'Credit/Prepaid Card',\n", + " 'Credit card' : 'Credit/Prepaid Card',\n", + " 'Prepaid card' : 'Credit/Prepaid Card',\n", + " 'Mortgage' : 'Loans / Mortgage',\n", + " 'Checking or savings account' : 'Checking or savings account' \n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "df_2023.loc[:,'Product'] = df_2023['Product'].map(product_map)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Credit Reporting 80.550289\n", + "Credit/Prepaid Card 6.153440\n", + "Checking or savings account 5.712832\n", + "Debt collection 4.441136\n", + "Loans / Mortgage 3.142303\n", + "Name: Product, dtype: float64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Product'].value_counts(normalize = True) * 100.0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Distribution of product categories" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit Reporting", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Credit Reporting", + "offsetgroup": "Credit Reporting", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 213712 + ], + "xaxis": "x", + "y": [ + "Credit Reporting" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit/Prepaid Card", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Credit/Prepaid Card", + "offsetgroup": "Credit/Prepaid Card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 16326 + ], + "xaxis": "x", + "y": [ + "Credit/Prepaid Card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Checking or savings account", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Checking or savings account", + "offsetgroup": "Checking or savings account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 15157 + ], + "xaxis": "x", + "y": [ + "Checking or savings account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Debt collection", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Debt collection", + "offsetgroup": "Debt collection", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 11783 + ], + "xaxis": "x", + "y": [ + "Debt collection" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Loans / Mortgage", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Loans / Mortgage", + "offsetgroup": "Loans / Mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 8337 + ], + "xaxis": "x", + "y": [ + "Loans / Mortgage" + ], + "yaxis": "y" + } + ], + "layout": { + "autosize": true, + "barmode": "relative", + "legend": { + "title": { + "text": "Product" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Product Count" + }, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 224960 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Loans / Mortgage", + "Debt collection", + "Checking or savings account", + "Credit/Prepaid Card", + "Credit Reporting" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 4.5 + ], + "title": { + "text": "Product" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "product_counts = df_2023['Product'].value_counts().reset_index()\n", + "product_counts.columns = ['Product', 'Count']\n", + "\n", + "fig = px.bar(product_counts, y='Product', x='Count', color='Product',\n", + " title=\"Product Count\",\n", + " labels={'Count': 'Number of Occurrences'}, \n", + " orientation='h') \n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Sample customer narrative" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Complaint Regarding Credit Report Inaccuracies Dear CFPB, I am writing to file a complaint regarding inaccurate information on my credit report. I have been actively disputing these inaccuracies with the credit bureaus, but they have failed to adequately investigate my claims or remove the incorrect information. In accordance with the Fair Credit Reporting Act. I attached the PDF file below containing the list of items that have violated my federally protected consumer rights to privacy and confidentiality under 15 USC 1681. \\n\\nCredit Bureau stated everything was complete and accurate. But how is that possible if the open date, date of last activity and much more is incorrect. According to 15 USC 1681i ( 5 ), they are supposed to modify or delete accounts that aren't reporting correctly. \\n\\n15 U.S.C. 1681s-2 ( A ) ( 1 ) A person shall not furnish any information relating to a consumer to any consumer reporting agency if the person knows or has reasonable cause to believe that the information is inaccurate. \\n\\nI also believe that the credit bureaus have violated the Fair Credit Reporting Act ( FCRA ) by failing to : 1. Investigate my disputes in a timely and reasonable manner : The credit bureaus have not provided a clear explanation for their decision not to remove the inaccurate information, and I believe their investigation was inadequate.\\n\\n2. Furnish accurate information to creditors : The inaccurate information on my credit report is harming my ability to obtain credit and other financial services.\\n\\n3. Follow the FCRA 's dispute resolution procedures : The credit bureaus have failed to comply with the timeframes and procedures outlined in the FCRA.\\n\\nI am requesting that the CFPB investigate my complaint and take the following actions : 1. Order the credit bureaus to remove the inaccurate information from my credit report.\\n\\n2. Require the credit bureaus to provide me with a copy of my updated credit report reflecting the changes. \\n\\nEnclosures : Copies of my credit reports Copies of my dispute letters Copies of any supporting documentation I provided to the credit bureaus\"" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023.loc[6,'Consumer complaint narrative']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Product / Issue counts" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Credit Reporting 213712\n", + "Credit/Prepaid Card 16326\n", + "Checking or savings account 15157\n", + "Debt collection 11783\n", + "Loans / Mortgage 8337\n", + "Name: Product, dtype: int64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Product'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Credit reporting 212469\n", + "General-purpose credit card or charge card 13695\n", + "Checking account 12724\n", + "Other debt 3486\n", + "Loan 3240\n", + "I do not know 2834\n", + "Credit card debt 2186\n", + "Federal student loan servicing 2041\n", + "Store credit card 1925\n", + "Conventional home mortgage 1260\n", + "Other personal consumer report 1243\n", + "Medical debt 1230\n", + "Savings account 1214\n", + "Other banking product or service 952\n", + "Auto debt 823\n", + "FHA mortgage 532\n", + "Telecommunications debt 485\n", + "Lease 438\n", + "Government benefit card 333\n", + "General-purpose prepaid card 296\n", + "CD (Certificate of Deposit) 267\n", + "Private student loan 240\n", + "VA mortgage 237\n", + "Mortgage debt 216\n", + "Rental debt 210\n", + "Payday loan debt 159\n", + "Home equity loan or line of credit (HELOC) 157\n", + "Private student loan debt 84\n", + "Federal student loan debt 70\n", + "Other type of mortgage 57\n", + "Installment loan 43\n", + "Payroll card 41\n", + "Gift card 34\n", + "Personal line of credit 30\n", + "USDA mortgage 24\n", + "Manufactured home loan 12\n", + "Payday loan 12\n", + "Reverse mortgage 11\n", + "Title loan 2\n", + "Student prepaid card 2\n", + "Pawn loan 1\n", + "Name: Sub-product, dtype: int64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Sub-product'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Incorrect information on your report 87781\n", + "Improper use of your report 62499\n", + "Problem with a credit reporting company's investigation into an existing problem 45414\n", + "Problem with a company's investigation into an existing problem 21019\n", + "Managing an account 8067\n", + "Attempts to collect debt not owed 5817\n", + "Problem with a purchase shown on your statement 3365\n", + "Written notification about debt 2560\n", + "Closing an account 2079\n", + "Dealing with your lender or servicer 1888\n", + "Problem with a lender or other company charging your account 1832\n", + "Opening an account 1595\n", + "Problem caused by your funds being low 1522\n", + "Other features, terms, or problems 1451\n", + "Getting a credit card 1422\n", + "Unable to get your credit report or credit score 1416\n", + "Managing the loan or lease 1343\n", + "Took or threatened to take negative or legal action 1268\n", + "Fees or interest 1266\n", + "Trouble during payment process 1197\n", + "Credit monitoring or identity theft protection services 1165\n", + "False statements or representation 1120\n", + "Problem when making payments 951\n", + "Closing your account 813\n", + "Communication tactics 743\n", + "Struggling to pay your loan 652\n", + "Advertising and marketing, including promotional offers 592\n", + "Problems at the end of the loan or lease 583\n", + "Getting a loan or lease 556\n", + "Trouble using your card 508\n", + "Struggling to pay mortgage 493\n", + "Problem with a purchase or transfer 301\n", + "Struggling to repay your loan 275\n", + "Repossession 234\n", + "Trouble using the card 229\n", + "Problem with a company's investigation into an existing issue 223\n", + "Applying for a mortgage or refinancing an existing mortgage 216\n", + "Threatened to contact someone or share information improperly 205\n", + "Closing on a mortgage 164\n", + "Problem getting a card or closing an account 157\n", + "Struggling to pay your bill 121\n", + "Identity theft protection or other monitoring services 82\n", + "Electronic communications 70\n", + "Getting a loan 40\n", + "Advertising 15\n", + "Problem with overdraft 4\n", + "Issue with income share agreement 1\n", + "Issue where my lender is my school 1\n", + "Name: Issue, dtype: int64" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Issue'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Information belongs to someone else 58017\n", + "Reporting company used your report improperly 48790\n", + "Their investigation did not fix an error on your report 45418\n", + "Credit inquiries on your report that you don't recognize 13166\n", + "Account status incorrect 10277\n", + " ... \n", + "Issues with financial aid services 1\n", + "Threatened to turn you in to immigration or deport you 1\n", + "Did not receive car title 1\n", + "Problem adding money 1\n", + "Cannot graduate, receive diploma, or get transcript due to money owed 1\n", + "Name: Sub-issue, Length: 206, dtype: int64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Sub-issue'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Company has responded to the consumer and the CFPB and chooses not to provide a public response 252901\n", + "Company believes it acted appropriately as authorized by contract or law 9604\n", + "Company believes the complaint is the result of a misunderstanding 771\n", + "Company disputes the facts presented in the complaint 690\n", + "Company believes the complaint provided an opportunity to answer consumer's questions 520\n", + "Company believes complaint caused principally by actions of third party outside the control or direction of the company 279\n", + "Company can't verify or dispute the facts in the complaint 190\n", + "Company believes complaint is the result of an isolated error 186\n", + "Company believes complaint represents an opportunity for improvement to better serve consumers 170\n", + "Company believes complaint relates to a discontinued policy or procedure 4\n", + "Name: Company public response, dtype: int64" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Company public response'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Distribution of Subproducts w.r.t Product" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit reporting", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Credit reporting", + "offsetgroup": "Credit reporting", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 212469 + ], + "xaxis": "x", + "y": [ + "Credit reporting" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Other personal consumer report", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Other personal consumer report", + "offsetgroup": "Other personal consumer report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1243 + ], + "xaxis": "x", + "y": [ + "Other personal consumer report" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 400, + "legend": { + "title": { + "text": "Sub-product" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Sub-product counts for Credit Reporting", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1200, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 223651.57894736843 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Other personal consumer report", + "Credit reporting" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 1.5 + ], + "title": { + "text": "Sub-product" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "General-purpose credit card or charge card", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "General-purpose credit card or charge card", + "offsetgroup": "General-purpose credit card or charge card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 13695 + ], + "xaxis": "x", + "y": [ + "General-purpose credit card or charge card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Store credit card", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Store credit card", + "offsetgroup": "Store credit card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1925 + ], + "xaxis": "x", + "y": [ + "Store credit card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Government benefit card", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Government benefit card", + "offsetgroup": "Government benefit card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 333 + ], + "xaxis": "x", + "y": [ + "Government benefit card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "General-purpose prepaid card", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "General-purpose prepaid card", + "offsetgroup": "General-purpose prepaid card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 296 + ], + "xaxis": "x", + "y": [ + "General-purpose prepaid card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Payroll card", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Payroll card", + "offsetgroup": "Payroll card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 41 + ], + "xaxis": "x", + "y": [ + "Payroll card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Gift card", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Gift card", + "offsetgroup": "Gift card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 34 + ], + "xaxis": "x", + "y": [ + "Gift card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Student prepaid card", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Student prepaid card", + "offsetgroup": "Student prepaid card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2 + ], + "xaxis": "x", + "y": [ + "Student prepaid card" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 400, + "legend": { + "title": { + "text": "Sub-product" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Sub-product counts for Credit/Prepaid Card", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1200, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 14415.78947368421 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Student prepaid card", + "Gift card", + "Payroll card", + "General-purpose prepaid card", + "Government benefit card", + "Store credit card", + "General-purpose credit card or charge card" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 6.5 + ], + "title": { + "text": "Sub-product" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Checking account", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Checking account", + "offsetgroup": "Checking account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 12724 + ], + "xaxis": "x", + "y": [ + "Checking account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Savings account", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Savings account", + "offsetgroup": "Savings account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1214 + ], + "xaxis": "x", + "y": [ + "Savings account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Other banking product or service", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Other banking product or service", + "offsetgroup": "Other banking product or service", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 952 + ], + "xaxis": "x", + "y": [ + "Other banking product or service" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "CD (Certificate of Deposit)", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "CD (Certificate of Deposit)", + "offsetgroup": "CD (Certificate of Deposit)", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 267 + ], + "xaxis": "x", + "y": [ + "CD (Certificate of Deposit)" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 400, + "legend": { + "title": { + "text": "Sub-product" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Sub-product counts for Checking or savings account", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1200, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 13393.684210526317 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "CD (Certificate of Deposit)", + "Other banking product or service", + "Savings account", + "Checking account" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 3.5 + ], + "title": { + "text": "Sub-product" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Other debt", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Other debt", + "offsetgroup": "Other debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 3486 + ], + "xaxis": "x", + "y": [ + "Other debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "I do not know", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "I do not know", + "offsetgroup": "I do not know", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2834 + ], + "xaxis": "x", + "y": [ + "I do not know" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit card debt", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Credit card debt", + "offsetgroup": "Credit card debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2186 + ], + "xaxis": "x", + "y": [ + "Credit card debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Medical debt", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Medical debt", + "offsetgroup": "Medical debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1230 + ], + "xaxis": "x", + "y": [ + "Medical debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Auto debt", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Auto debt", + "offsetgroup": "Auto debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 823 + ], + "xaxis": "x", + "y": [ + "Auto debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Telecommunications debt", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Telecommunications debt", + "offsetgroup": "Telecommunications debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 485 + ], + "xaxis": "x", + "y": [ + "Telecommunications debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Mortgage debt", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Mortgage debt", + "offsetgroup": "Mortgage debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 216 + ], + "xaxis": "x", + "y": [ + "Mortgage debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Rental debt", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Rental debt", + "offsetgroup": "Rental debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 210 + ], + "xaxis": "x", + "y": [ + "Rental debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Payday loan debt", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Payday loan debt", + "offsetgroup": "Payday loan debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 159 + ], + "xaxis": "x", + "y": [ + "Payday loan debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Private student loan debt", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Private student loan debt", + "offsetgroup": "Private student loan debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 84 + ], + "xaxis": "x", + "y": [ + "Private student loan debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Federal student loan debt", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Federal student loan debt", + "offsetgroup": "Federal student loan debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 70 + ], + "xaxis": "x", + "y": [ + "Federal student loan debt" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 400, + "legend": { + "title": { + "text": "Sub-product" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Sub-product counts for Debt collection", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1200, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 3669.4736842105262 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Federal student loan debt", + "Private student loan debt", + "Payday loan debt", + "Rental debt", + "Mortgage debt", + "Telecommunications debt", + "Auto debt", + "Medical debt", + "Credit card debt", + "I do not know", + "Other debt" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 10.5 + ], + "title": { + "text": "Sub-product" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Loan", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Loan", + "offsetgroup": "Loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 3240 + ], + "xaxis": "x", + "y": [ + "Loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Federal student loan servicing", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Federal student loan servicing", + "offsetgroup": "Federal student loan servicing", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2041 + ], + "xaxis": "x", + "y": [ + "Federal student loan servicing" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Conventional home mortgage", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Conventional home mortgage", + "offsetgroup": "Conventional home mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1260 + ], + "xaxis": "x", + "y": [ + "Conventional home mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "FHA mortgage", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "FHA mortgage", + "offsetgroup": "FHA mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 532 + ], + "xaxis": "x", + "y": [ + "FHA mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Lease", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Lease", + "offsetgroup": "Lease", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 438 + ], + "xaxis": "x", + "y": [ + "Lease" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Private student loan", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Private student loan", + "offsetgroup": "Private student loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 240 + ], + "xaxis": "x", + "y": [ + "Private student loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "VA mortgage", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "VA mortgage", + "offsetgroup": "VA mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 237 + ], + "xaxis": "x", + "y": [ + "VA mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Home equity loan or line of credit (HELOC)", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Home equity loan or line of credit (HELOC)", + "offsetgroup": "Home equity loan or line of credit (HELOC)", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 157 + ], + "xaxis": "x", + "y": [ + "Home equity loan or line of credit (HELOC)" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Other type of mortgage", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Other type of mortgage", + "offsetgroup": "Other type of mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 57 + ], + "xaxis": "x", + "y": [ + "Other type of mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Installment loan", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Installment loan", + "offsetgroup": "Installment loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 43 + ], + "xaxis": "x", + "y": [ + "Installment loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Personal line of credit", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Personal line of credit", + "offsetgroup": "Personal line of credit", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 30 + ], + "xaxis": "x", + "y": [ + "Personal line of credit" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "USDA mortgage", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "USDA mortgage", + "offsetgroup": "USDA mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 24 + ], + "xaxis": "x", + "y": [ + "USDA mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Manufactured home loan", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Manufactured home loan", + "offsetgroup": "Manufactured home loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 12 + ], + "xaxis": "x", + "y": [ + "Manufactured home loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Payday loan", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Payday loan", + "offsetgroup": "Payday loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 12 + ], + "xaxis": "x", + "y": [ + "Payday loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Reverse mortgage", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Reverse mortgage", + "offsetgroup": "Reverse mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 11 + ], + "xaxis": "x", + "y": [ + "Reverse mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Title loan", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Title loan", + "offsetgroup": "Title loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2 + ], + "xaxis": "x", + "y": [ + "Title loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Sub-product=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Pawn loan", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Pawn loan", + "offsetgroup": "Pawn loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Pawn loan" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 500, + "legend": { + "title": { + "text": "Sub-product" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Sub-product counts for Loans / Mortgage", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1200, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 3410.5263157894738 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Pawn loan", + "Title loan", + "Reverse mortgage", + "Payday loan", + "Manufactured home loan", + "USDA mortgage", + "Personal line of credit", + "Installment loan", + "Other type of mortgage", + "Home equity loan or line of credit (HELOC)", + "VA mortgage", + "Private student loan", + "Lease", + "FHA mortgage", + "Conventional home mortgage", + "Federal student loan servicing", + "Loan" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 16.5 + ], + "title": { + "text": "Sub-product" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for i,product in enumerate(df_2023['Product'].value_counts().index):\n", + " subproduct = df_2023[df_2023['Product'] == product]\n", + " subproduct_counts = subproduct['Sub-product'].value_counts().reset_index()\n", + " subproduct_counts.columns = ['Sub-product', 'Count']\n", + " \n", + " fig = px.bar(subproduct_counts, y='Sub-product', x='Count', color='Sub-product',\n", + " title=f\"SubProduct Count for {product}\",\n", + " width = 1200,\n", + " height = 400 if i!=4 else 500,\n", + " labels={'Count': 'Number of Occurrences'}, # Customizing axis labels\n", + " orientation='h') # Horizontal bars\n", + " \n", + " fig.update_layout(\n", + " title={\n", + " 'text': f\"Sub-product counts for {product}\",\n", + " 'y':0.9,\n", + " 'x':0.5,\n", + " 'xanchor': 'center',\n", + " 'yanchor': 'top'\n", + " }\n", + " )\n", + " \n", + " fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Complaints across states" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "coloraxis": "coloraxis", + "customdata": [ + [ + "AA", + 2 + ], + [ + "AE", + 48 + ], + [ + "AK", + 151 + ], + [ + "AL", + 4012 + ], + [ + "AP", + 15 + ], + [ + "AR", + 1856 + ], + [ + "AS", + 1 + ], + [ + "AZ", + 4729 + ], + [ + "CA", + 27558 + ], + [ + "CO", + 1704 + ], + [ + "CT", + 2016 + ], + [ + "DC", + 1142 + ], + [ + "DE", + 1269 + ], + [ + "FL", + 36186 + ], + [ + "GA", + 20142 + ], + [ + "GU", + 13 + ], + [ + "HI", + 528 + ], + [ + "IA", + 764 + ], + [ + "ID", + 328 + ], + [ + "IL", + 13924 + ], + [ + "IN", + 3318 + ], + [ + "KS", + 667 + ], + [ + "KY", + 1523 + ], + [ + "LA", + 5321 + ], + [ + "MA", + 2939 + ], + [ + "MD", + 6760 + ], + [ + "ME", + 239 + ], + [ + "MI", + 6159 + ], + [ + "MN", + 1573 + ], + [ + "MO", + 3821 + ], + [ + "MS", + 2125 + ], + [ + "MT", + 193 + ], + [ + "NC", + 10708 + ], + [ + "ND", + 173 + ], + [ + "NE", + 820 + ], + [ + "NH", + 265 + ], + [ + "NJ", + 9243 + ], + [ + "NM", + 646 + ], + [ + "NV", + 4459 + ], + [ + "NY", + 15633 + ], + [ + "OH", + 4960 + ], + [ + "OK", + 1092 + ], + [ + "OR", + 1019 + ], + [ + "PA", + 11723 + ], + [ + "PR", + 294 + ], + [ + "RI", + 422 + ], + [ + "SC", + 5272 + ], + [ + "SD", + 129 + ], + [ + "TN", + 4237 + ], + [ + "TX", + 31624 + ], + [ + "UNITED STATES MINOR OUTLYING ISLANDS", + 15 + ], + [ + "UT", + 799 + ], + [ + "VA", + 6416 + ], + [ + "VI", + 33 + ], + [ + "VT", + 105 + ], + [ + "WA", + 1994 + ], + [ + "WI", + 1811 + ], + [ + "WV", + 286 + ], + [ + "WY", + 111 + ] + ], + "geo": "geo", + "hovertemplate": "%{hovertext}

Num_complaints=%{z}", + "hovertext": [ + "AA", + "AE", + "AK", + "AL", + "AP", + "AR", + "AS", + "AZ", + "CA", + "CO", + "CT", + "DC", + "DE", + "FL", + "GA", + "GU", + "HI", + "IA", + "ID", + "IL", + "IN", + "KS", + "KY", + "LA", + "MA", + "MD", + "ME", + "MI", + "MN", + "MO", + "MS", + "MT", + "NC", + "ND", + "NE", + "NH", + "NJ", + "NM", + "NV", + "NY", + "OH", + "OK", + "OR", + "PA", + "PR", + "RI", + "SC", + "SD", + "TN", + "TX", + "UNITED STATES MINOR OUTLYING ISLANDS", + "UT", + "VA", + "VI", + "VT", + "WA", + "WI", + "WV", + "WY" + ], + "locationmode": "USA-states", + "locations": [ + "AA", + "AE", + "AK", + "AL", + "AP", + "AR", + "AS", + "AZ", + "CA", + "CO", + "CT", + "DC", + "DE", + "FL", + "GA", + "GU", + "HI", + "IA", + "ID", + "IL", + "IN", + "KS", + "KY", + "LA", + "MA", + "MD", + "ME", + "MI", + "MN", + "MO", + "MS", + "MT", + "NC", + "ND", + "NE", + "NH", + "NJ", + "NM", + "NV", + "NY", + "OH", + "OK", + "OR", + "PA", + "PR", + "RI", + "SC", + "SD", + "TN", + "TX", + "UNITED STATES MINOR OUTLYING ISLANDS", + "UT", + "VA", + "VI", + "VT", + "WA", + "WI", + "WV", + "WY" + ], + "name": "", + "type": "choropleth", + "z": [ + 2, + 48, + 151, + 4012, + 15, + 1856, + 1, + 4729, + 27558, + 1704, + 2016, + 1142, + 1269, + 36186, + 20142, + 13, + 528, + 764, + 328, + 13924, + 3318, + 667, + 1523, + 5321, + 2939, + 6760, + 239, + 6159, + 1573, + 3821, + 2125, + 193, + 10708, + 173, + 820, + 265, + 9243, + 646, + 4459, + 15633, + 4960, + 1092, + 1019, + 11723, + 294, + 422, + 5272, + 129, + 4237, + 31624, + 15, + 799, + 6416, + 33, + 105, + 1994, + 1811, + 286, + 111 + ] + } + ], + "layout": { + "autosize": true, + "coloraxis": { + "colorbar": { + "title": { + "text": "Num_complaints" + } + }, + "colorscale": [ + [ + 0, + "#000004" + ], + [ + 0.1111111111111111, + "#1b0c41" + ], + [ + 0.2222222222222222, + "#4a0c6b" + ], + [ + 0.3333333333333333, + "#781c6d" + ], + [ + 0.4444444444444444, + "#a52c60" + ], + [ + 0.5555555555555556, + "#cf4446" + ], + [ + 0.6666666666666666, + "#ed6925" + ], + [ + 0.7777777777777778, + "#fb9b06" + ], + [ + 0.8888888888888888, + "#f7d13d" + ], + [ + 1, + "#fcffa4" + ] + ] + }, + "geo": { + "bgcolor": "rgb(255, 255, 255)", + "center": {}, + "domain": { + "x": [ + 0, + 1 + ], + "y": [ + 0, + 1 + ] + }, + "lakecolor": "rgb(255, 255, 255)", + "landcolor": "rgb(217, 217, 217)", + "scope": "usa" + }, + "height": 360, + "legend": { + "tracegroupgap": 0 + }, + "margin": { + "b": 0, + "l": 0, + "r": 0, + "t": 50 + }, + "paper_bgcolor": "rgb(255, 255, 255)", + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Number of Complaints by State", + "x": 0.45 + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "state_complaints = df_2023.groupby('State').size().reset_index(name='Num_complaints')\n", + "state_complaints['text'] = 'Total Complaints in 2023: ' + state_complaints['Num_complaints'].astype(str)\n", + "\n", + "fig = px.choropleth(state_complaints,\n", + " locations='State',\n", + " locationmode='USA-states',\n", + " color='Num_complaints',\n", + " color_continuous_scale='Inferno',\n", + " scope=\"usa\",\n", + " hover_name='State', \n", + " hover_data={'State': False, 'Num_complaints': True}, \n", + " title='Number of Complaints by State')\n", + "\n", + "fig.update_layout(\n", + " autosize = True,\n", + " title_text='Number of Complaints by State',\n", + " title_x=0.45,\n", + " geo=dict(\n", + " landcolor='rgb(217, 217, 217)', \n", + " lakecolor='rgb(255, 255, 255)', \n", + " bgcolor='rgb(255, 255, 255)' \n", + " ),\n", + " paper_bgcolor='rgb(255, 255, 255)', \n", + " margin={\"r\":0,\"t\":50,\"l\":0,\"b\":0}\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Other `color_continuous_scale` options to vary the map color:\n", + " \n", + "\n", + " ['Plasma', 'Inferno', 'Magma', 'Cividis', 'Greys', 'Blues', 'Greens', 'Oranges', 'Reds', 'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu', 'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn']\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Visualizing Complaints over months" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hovertemplate": "Month=%{x}
Number of Complaints=%{y}", + "legendgroup": "", + "line": { + "color": "#636efa", + "dash": "solid" + }, + "marker": { + "symbol": "circle" + }, + "mode": "lines", + "name": "", + "orientation": "v", + "showlegend": false, + "type": "scatter", + "x": [ + "2023-01", + "2023-02", + "2023-03", + "2023-04", + "2023-05", + "2023-06", + "2023-07", + "2023-08", + "2023-09", + "2023-10", + "2023-11", + "2023-12" + ], + "xaxis": "x", + "y": [ + 22016, + 18930, + 22209, + 19787, + 22561, + 22525, + 22609, + 25954, + 23775, + 23816, + 19642, + 21491 + ], + "yaxis": "y" + } + ], + "layout": { + "height": 360, + "legend": { + "tracegroupgap": 0 + }, + "margin": { + "t": 60 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Number of Complaints by Month", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + "2023-01-01", + "2023-12-01" + ], + "title": { + "text": "Month" + }, + "type": "date" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 18539.777777777777, + 26344.222222222223 + ], + "title": { + "text": "Number of Complaints" + }, + "type": "linear" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "monthly_complaints = df_2023.copy()\n", + "\n", + "monthly_complaints['MonthYear'] = monthly_complaints['Date received'].dt.to_period('M').astype(str)\n", + "monthly_complaints = monthly_complaints.groupby('MonthYear').size().reset_index(name = \"NumComplaints\")\n", + "\n", + "\n", + "fig = px.line(monthly_complaints, x='MonthYear', y='NumComplaints',\n", + " labels={'MonthYear': 'Month', 'NumComplaints': 'Number of Complaints'})\n", + "\n", + "fig.update_layout(\n", + " title={\n", + " 'text':'Number of Complaints by Month',\n", + " 'y':0.9,\n", + " 'x':0.5,\n", + " 'xanchor': 'center',\n", + " 'yanchor': 'top'\n", + " }\n", + " )\n", + " \n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### `Comments` : May not be super useful to include." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Distribution of Issues w.r.t Issue" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Incorrect information on your report", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Incorrect information on your report", + "offsetgroup": "Incorrect information on your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 86802 + ], + "xaxis": "x", + "y": [ + "Incorrect information on your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Improper use of your report", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Improper use of your report", + "offsetgroup": "Improper use of your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 62254 + ], + "xaxis": "x", + "y": [ + "Improper use of your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a credit reporting company's investigation into an existing problem", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a credit reporting company's investigation into an existing problem", + "offsetgroup": "Problem with a credit reporting company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 42891 + ], + "xaxis": "x", + "y": [ + "Problem with a credit reporting company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a company's investigation into an existing problem", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a company's investigation into an existing problem", + "offsetgroup": "Problem with a company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 18950 + ], + "xaxis": "x", + "y": [ + "Problem with a company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Unable to get your credit report or credit score", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Unable to get your credit report or credit score", + "offsetgroup": "Unable to get your credit report or credit score", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1402 + ], + "xaxis": "x", + "y": [ + "Unable to get your credit report or credit score" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit monitoring or identity theft protection services", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Credit monitoring or identity theft protection services", + "offsetgroup": "Credit monitoring or identity theft protection services", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1105 + ], + "xaxis": "x", + "y": [ + "Credit monitoring or identity theft protection services" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a company's investigation into an existing issue", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a company's investigation into an existing issue", + "offsetgroup": "Problem with a company's investigation into an existing issue", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 223 + ], + "xaxis": "x", + "y": [ + "Problem with a company's investigation into an existing issue" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Identity theft protection or other monitoring services", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Identity theft protection or other monitoring services", + "offsetgroup": "Identity theft protection or other monitoring services", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 82 + ], + "xaxis": "x", + "y": [ + "Identity theft protection or other monitoring services" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Other features, terms, or problems", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Other features, terms, or problems", + "offsetgroup": "Other features, terms, or problems", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Other features, terms, or problems" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to pay your loan", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to pay your loan", + "offsetgroup": "Struggling to pay your loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Struggling to pay your loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a purchase shown on your statement", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a purchase shown on your statement", + "offsetgroup": "Problem with a purchase shown on your statement", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Problem with a purchase shown on your statement" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 600, + "legend": { + "title": { + "text": "Issue" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Issue counts for Credit Reporting", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1400, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 91370.52631578948 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Problem with a purchase shown on your statement", + "Struggling to pay your loan", + "Other features, terms, or problems", + "Identity theft protection or other monitoring services", + "Problem with a company's investigation into an existing issue", + "Credit monitoring or identity theft protection services", + "Unable to get your credit report or credit score", + "Problem with a company's investigation into an existing problem", + "Problem with a credit reporting company's investigation into an existing problem", + "Improper use of your report", + "Incorrect information on your report" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 10.5 + ], + "title": { + "text": "Issue" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a purchase shown on your statement", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a purchase shown on your statement", + "offsetgroup": "Problem with a purchase shown on your statement", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 3364 + ], + "xaxis": "x", + "y": [ + "Problem with a purchase shown on your statement" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a credit reporting company's investigation into an existing problem", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a credit reporting company's investigation into an existing problem", + "offsetgroup": "Problem with a credit reporting company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2439 + ], + "xaxis": "x", + "y": [ + "Problem with a credit reporting company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a company's investigation into an existing problem", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a company's investigation into an existing problem", + "offsetgroup": "Problem with a company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2018 + ], + "xaxis": "x", + "y": [ + "Problem with a company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Other features, terms, or problems", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Other features, terms, or problems", + "offsetgroup": "Other features, terms, or problems", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1450 + ], + "xaxis": "x", + "y": [ + "Other features, terms, or problems" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Getting a credit card", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Getting a credit card", + "offsetgroup": "Getting a credit card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1422 + ], + "xaxis": "x", + "y": [ + "Getting a credit card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Fees or interest", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Fees or interest", + "offsetgroup": "Fees or interest", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1266 + ], + "xaxis": "x", + "y": [ + "Fees or interest" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem when making payments", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Problem when making payments", + "offsetgroup": "Problem when making payments", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 951 + ], + "xaxis": "x", + "y": [ + "Problem when making payments" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Closing your account", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Closing your account", + "offsetgroup": "Closing your account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 813 + ], + "xaxis": "x", + "y": [ + "Closing your account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Advertising and marketing, including promotional offers", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Advertising and marketing, including promotional offers", + "offsetgroup": "Advertising and marketing, including promotional offers", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 592 + ], + "xaxis": "x", + "y": [ + "Advertising and marketing, including promotional offers" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Incorrect information on your report", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Incorrect information on your report", + "offsetgroup": "Incorrect information on your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 556 + ], + "xaxis": "x", + "y": [ + "Incorrect information on your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Trouble using your card", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Trouble using your card", + "offsetgroup": "Trouble using your card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 508 + ], + "xaxis": "x", + "y": [ + "Trouble using your card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a purchase or transfer", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a purchase or transfer", + "offsetgroup": "Problem with a purchase or transfer", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 301 + ], + "xaxis": "x", + "y": [ + "Problem with a purchase or transfer" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Trouble using the card", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Trouble using the card", + "offsetgroup": "Trouble using the card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 229 + ], + "xaxis": "x", + "y": [ + "Trouble using the card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem getting a card or closing an account", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Problem getting a card or closing an account", + "offsetgroup": "Problem getting a card or closing an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 157 + ], + "xaxis": "x", + "y": [ + "Problem getting a card or closing an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to pay your bill", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to pay your bill", + "offsetgroup": "Struggling to pay your bill", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 121 + ], + "xaxis": "x", + "y": [ + "Struggling to pay your bill" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Improper use of your report", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Improper use of your report", + "offsetgroup": "Improper use of your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 93 + ], + "xaxis": "x", + "y": [ + "Improper use of your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit monitoring or identity theft protection services", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Credit monitoring or identity theft protection services", + "offsetgroup": "Credit monitoring or identity theft protection services", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 22 + ], + "xaxis": "x", + "y": [ + "Credit monitoring or identity theft protection services" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Advertising", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Advertising", + "offsetgroup": "Advertising", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 15 + ], + "xaxis": "x", + "y": [ + "Advertising" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Unable to get your credit report or credit score", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Unable to get your credit report or credit score", + "offsetgroup": "Unable to get your credit report or credit score", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 5 + ], + "xaxis": "x", + "y": [ + "Unable to get your credit report or credit score" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with overdraft", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Problem with overdraft", + "offsetgroup": "Problem with overdraft", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 4 + ], + "xaxis": "x", + "y": [ + "Problem with overdraft" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 600, + "legend": { + "title": { + "text": "Issue" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Issue counts for Credit/Prepaid Card", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1400, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 3541.0526315789475 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Problem with overdraft", + "Unable to get your credit report or credit score", + "Advertising", + "Credit monitoring or identity theft protection services", + "Improper use of your report", + "Struggling to pay your bill", + "Problem getting a card or closing an account", + "Trouble using the card", + "Problem with a purchase or transfer", + "Trouble using your card", + "Incorrect information on your report", + "Advertising and marketing, including promotional offers", + "Closing your account", + "Problem when making payments", + "Fees or interest", + "Getting a credit card", + "Other features, terms, or problems", + "Problem with a company's investigation into an existing problem", + "Problem with a credit reporting company's investigation into an existing problem", + "Problem with a purchase shown on your statement" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 19.5 + ], + "title": { + "text": "Issue" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Managing an account", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Managing an account", + "offsetgroup": "Managing an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 8067 + ], + "xaxis": "x", + "y": [ + "Managing an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Closing an account", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Closing an account", + "offsetgroup": "Closing an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2079 + ], + "xaxis": "x", + "y": [ + "Closing an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a lender or other company charging your account", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a lender or other company charging your account", + "offsetgroup": "Problem with a lender or other company charging your account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1832 + ], + "xaxis": "x", + "y": [ + "Problem with a lender or other company charging your account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Opening an account", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Opening an account", + "offsetgroup": "Opening an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1595 + ], + "xaxis": "x", + "y": [ + "Opening an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem caused by your funds being low", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Problem caused by your funds being low", + "offsetgroup": "Problem caused by your funds being low", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1522 + ], + "xaxis": "x", + "y": [ + "Problem caused by your funds being low" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Incorrect information on your report", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Incorrect information on your report", + "offsetgroup": "Incorrect information on your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 21 + ], + "xaxis": "x", + "y": [ + "Incorrect information on your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Improper use of your report", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Improper use of your report", + "offsetgroup": "Improper use of your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 13 + ], + "xaxis": "x", + "y": [ + "Improper use of your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit monitoring or identity theft protection services", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Credit monitoring or identity theft protection services", + "offsetgroup": "Credit monitoring or identity theft protection services", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 11 + ], + "xaxis": "x", + "y": [ + "Credit monitoring or identity theft protection services" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a company's investigation into an existing problem", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a company's investigation into an existing problem", + "offsetgroup": "Problem with a company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 9 + ], + "xaxis": "x", + "y": [ + "Problem with a company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a credit reporting company's investigation into an existing problem", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a credit reporting company's investigation into an existing problem", + "offsetgroup": "Problem with a credit reporting company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 8 + ], + "xaxis": "x", + "y": [ + "Problem with a credit reporting company's investigation into an existing problem" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 600, + "legend": { + "title": { + "text": "Issue" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Issue counts for Checking or savings account", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1400, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 8491.578947368422 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Problem with a credit reporting company's investigation into an existing problem", + "Problem with a company's investigation into an existing problem", + "Credit monitoring or identity theft protection services", + "Improper use of your report", + "Incorrect information on your report", + "Problem caused by your funds being low", + "Opening an account", + "Problem with a lender or other company charging your account", + "Closing an account", + "Managing an account" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 9.5 + ], + "title": { + "text": "Issue" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Attempts to collect debt not owed", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Attempts to collect debt not owed", + "offsetgroup": "Attempts to collect debt not owed", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 5817 + ], + "xaxis": "x", + "y": [ + "Attempts to collect debt not owed" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Written notification about debt", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Written notification about debt", + "offsetgroup": "Written notification about debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2560 + ], + "xaxis": "x", + "y": [ + "Written notification about debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Took or threatened to take negative or legal action", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Took or threatened to take negative or legal action", + "offsetgroup": "Took or threatened to take negative or legal action", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1268 + ], + "xaxis": "x", + "y": [ + "Took or threatened to take negative or legal action" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "False statements or representation", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "False statements or representation", + "offsetgroup": "False statements or representation", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1120 + ], + "xaxis": "x", + "y": [ + "False statements or representation" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Communication tactics", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Communication tactics", + "offsetgroup": "Communication tactics", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 743 + ], + "xaxis": "x", + "y": [ + "Communication tactics" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Threatened to contact someone or share information improperly", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Threatened to contact someone or share information improperly", + "offsetgroup": "Threatened to contact someone or share information improperly", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 205 + ], + "xaxis": "x", + "y": [ + "Threatened to contact someone or share information improperly" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Electronic communications", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Electronic communications", + "offsetgroup": "Electronic communications", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 70 + ], + "xaxis": "x", + "y": [ + "Electronic communications" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 600, + "legend": { + "title": { + "text": "Issue" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Issue counts for Debt collection", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1400, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 6123.157894736842 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Electronic communications", + "Threatened to contact someone or share information improperly", + "Communication tactics", + "False statements or representation", + "Took or threatened to take negative or legal action", + "Written notification about debt", + "Attempts to collect debt not owed" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 6.5 + ], + "title": { + "text": "Issue" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Dealing with your lender or servicer", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Dealing with your lender or servicer", + "offsetgroup": "Dealing with your lender or servicer", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1888 + ], + "xaxis": "x", + "y": [ + "Dealing with your lender or servicer" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Managing the loan or lease", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Managing the loan or lease", + "offsetgroup": "Managing the loan or lease", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1343 + ], + "xaxis": "x", + "y": [ + "Managing the loan or lease" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Trouble during payment process", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Trouble during payment process", + "offsetgroup": "Trouble during payment process", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1197 + ], + "xaxis": "x", + "y": [ + "Trouble during payment process" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to pay your loan", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to pay your loan", + "offsetgroup": "Struggling to pay your loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 651 + ], + "xaxis": "x", + "y": [ + "Struggling to pay your loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problems at the end of the loan or lease", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Problems at the end of the loan or lease", + "offsetgroup": "Problems at the end of the loan or lease", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 583 + ], + "xaxis": "x", + "y": [ + "Problems at the end of the loan or lease" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Getting a loan or lease", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Getting a loan or lease", + "offsetgroup": "Getting a loan or lease", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 556 + ], + "xaxis": "x", + "y": [ + "Getting a loan or lease" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to pay mortgage", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to pay mortgage", + "offsetgroup": "Struggling to pay mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 493 + ], + "xaxis": "x", + "y": [ + "Struggling to pay mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Incorrect information on your report", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Incorrect information on your report", + "offsetgroup": "Incorrect information on your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 402 + ], + "xaxis": "x", + "y": [ + "Incorrect information on your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to repay your loan", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to repay your loan", + "offsetgroup": "Struggling to repay your loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 275 + ], + "xaxis": "x", + "y": [ + "Struggling to repay your loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Repossession", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Repossession", + "offsetgroup": "Repossession", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 234 + ], + "xaxis": "x", + "y": [ + "Repossession" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Applying for a mortgage or refinancing an existing mortgage", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Applying for a mortgage or refinancing an existing mortgage", + "offsetgroup": "Applying for a mortgage or refinancing an existing mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 216 + ], + "xaxis": "x", + "y": [ + "Applying for a mortgage or refinancing an existing mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Closing on a mortgage", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Closing on a mortgage", + "offsetgroup": "Closing on a mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 164 + ], + "xaxis": "x", + "y": [ + "Closing on a mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Improper use of your report", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Improper use of your report", + "offsetgroup": "Improper use of your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 139 + ], + "xaxis": "x", + "y": [ + "Improper use of your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a credit reporting company's investigation into an existing problem", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a credit reporting company's investigation into an existing problem", + "offsetgroup": "Problem with a credit reporting company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 76 + ], + "xaxis": "x", + "y": [ + "Problem with a credit reporting company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a company's investigation into an existing problem", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a company's investigation into an existing problem", + "offsetgroup": "Problem with a company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 42 + ], + "xaxis": "x", + "y": [ + "Problem with a company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Getting a loan", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Getting a loan", + "offsetgroup": "Getting a loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 40 + ], + "xaxis": "x", + "y": [ + "Getting a loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit monitoring or identity theft protection services", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Credit monitoring or identity theft protection services", + "offsetgroup": "Credit monitoring or identity theft protection services", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 27 + ], + "xaxis": "x", + "y": [ + "Credit monitoring or identity theft protection services" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Unable to get your credit report or credit score", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Unable to get your credit report or credit score", + "offsetgroup": "Unable to get your credit report or credit score", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 9 + ], + "xaxis": "x", + "y": [ + "Unable to get your credit report or credit score" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Issue with income share agreement", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Issue with income share agreement", + "offsetgroup": "Issue with income share agreement", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Issue with income share agreement" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Issue where my lender is my school", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Issue where my lender is my school", + "offsetgroup": "Issue where my lender is my school", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Issue where my lender is my school" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 700, + "legend": { + "title": { + "text": "Issue" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Issue counts for Loans / Mortgage", + "x": 0.5, + "xanchor": "center", + "y": 0.9, + "yanchor": "top" + }, + "width": 1400, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 1987.3684210526317 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Issue where my lender is my school", + "Issue with income share agreement", + "Unable to get your credit report or credit score", + "Credit monitoring or identity theft protection services", + "Getting a loan", + "Problem with a company's investigation into an existing problem", + "Problem with a credit reporting company's investigation into an existing problem", + "Improper use of your report", + "Closing on a mortgage", + "Applying for a mortgage or refinancing an existing mortgage", + "Repossession", + "Struggling to repay your loan", + "Incorrect information on your report", + "Struggling to pay mortgage", + "Getting a loan or lease", + "Problems at the end of the loan or lease", + "Struggling to pay your loan", + "Trouble during payment process", + "Managing the loan or lease", + "Dealing with your lender or servicer" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 19.5 + ], + "title": { + "text": "Issue" + }, + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for i,product in enumerate(df_2023['Product'].value_counts().index):\n", + " subproduct = df_2023[df_2023['Product'] == product]\n", + " subproduct_counts = subproduct['Issue'].value_counts().reset_index()\n", + " subproduct_counts.columns = ['Issue', 'Count']\n", + " \n", + " fig = px.bar(subproduct_counts, y='Issue', x='Count', color='Issue',\n", + " title=f\"Issue Count for {product}\",\n", + " width = 1400,\n", + " height = 600 if i!=4 else 700,\n", + " labels={'Count': 'Number of Occurrences'}, # Customizing axis labels\n", + " orientation='h') # Horizontal bars\n", + " \n", + " fig.update_layout(\n", + " title={\n", + " 'text': f\"Issue counts for {product}\",\n", + " 'y':0.9,\n", + " 'x':0.5,\n", + " 'xanchor': 'center',\n", + " 'yanchor': 'top'\n", + " }\n", + " )\n", + " \n", + " fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Next steps:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Let's analyze all the plots carefully and I believe we can easily get rid of some of the sub-products and issues in each product since they are insignificant in number.\n", + "2. Next, we can discuss about the modeling strategies." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Issue categories exploration" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Incorrect information on your report", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Incorrect information on your report", + "offsetgroup": "Incorrect information on your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 87781 + ], + "xaxis": "x", + "y": [ + "Incorrect information on your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Improper use of your report", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Improper use of your report", + "offsetgroup": "Improper use of your report", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 62499 + ], + "xaxis": "x", + "y": [ + "Improper use of your report" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a credit reporting company's investigation into an existing problem", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a credit reporting company's investigation into an existing problem", + "offsetgroup": "Problem with a credit reporting company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 45414 + ], + "xaxis": "x", + "y": [ + "Problem with a credit reporting company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a company's investigation into an existing problem", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a company's investigation into an existing problem", + "offsetgroup": "Problem with a company's investigation into an existing problem", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 21019 + ], + "xaxis": "x", + "y": [ + "Problem with a company's investigation into an existing problem" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Managing an account", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Managing an account", + "offsetgroup": "Managing an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 8067 + ], + "xaxis": "x", + "y": [ + "Managing an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Attempts to collect debt not owed", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Attempts to collect debt not owed", + "offsetgroup": "Attempts to collect debt not owed", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 5817 + ], + "xaxis": "x", + "y": [ + "Attempts to collect debt not owed" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a purchase shown on your statement", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a purchase shown on your statement", + "offsetgroup": "Problem with a purchase shown on your statement", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 3365 + ], + "xaxis": "x", + "y": [ + "Problem with a purchase shown on your statement" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Written notification about debt", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Written notification about debt", + "offsetgroup": "Written notification about debt", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2560 + ], + "xaxis": "x", + "y": [ + "Written notification about debt" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Closing an account", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Closing an account", + "offsetgroup": "Closing an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 2079 + ], + "xaxis": "x", + "y": [ + "Closing an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Dealing with your lender or servicer", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Dealing with your lender or servicer", + "offsetgroup": "Dealing with your lender or servicer", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1888 + ], + "xaxis": "x", + "y": [ + "Dealing with your lender or servicer" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a lender or other company charging your account", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a lender or other company charging your account", + "offsetgroup": "Problem with a lender or other company charging your account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1832 + ], + "xaxis": "x", + "y": [ + "Problem with a lender or other company charging your account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Opening an account", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Opening an account", + "offsetgroup": "Opening an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1595 + ], + "xaxis": "x", + "y": [ + "Opening an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem caused by your funds being low", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Problem caused by your funds being low", + "offsetgroup": "Problem caused by your funds being low", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1522 + ], + "xaxis": "x", + "y": [ + "Problem caused by your funds being low" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Other features, terms, or problems", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Other features, terms, or problems", + "offsetgroup": "Other features, terms, or problems", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1451 + ], + "xaxis": "x", + "y": [ + "Other features, terms, or problems" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Getting a credit card", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Getting a credit card", + "offsetgroup": "Getting a credit card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1422 + ], + "xaxis": "x", + "y": [ + "Getting a credit card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Unable to get your credit report or credit score", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Unable to get your credit report or credit score", + "offsetgroup": "Unable to get your credit report or credit score", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1416 + ], + "xaxis": "x", + "y": [ + "Unable to get your credit report or credit score" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Managing the loan or lease", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Managing the loan or lease", + "offsetgroup": "Managing the loan or lease", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1343 + ], + "xaxis": "x", + "y": [ + "Managing the loan or lease" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Took or threatened to take negative or legal action", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Took or threatened to take negative or legal action", + "offsetgroup": "Took or threatened to take negative or legal action", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1268 + ], + "xaxis": "x", + "y": [ + "Took or threatened to take negative or legal action" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Fees or interest", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Fees or interest", + "offsetgroup": "Fees or interest", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1266 + ], + "xaxis": "x", + "y": [ + "Fees or interest" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Trouble during payment process", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Trouble during payment process", + "offsetgroup": "Trouble during payment process", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1197 + ], + "xaxis": "x", + "y": [ + "Trouble during payment process" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Credit monitoring or identity theft protection services", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Credit monitoring or identity theft protection services", + "offsetgroup": "Credit monitoring or identity theft protection services", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1165 + ], + "xaxis": "x", + "y": [ + "Credit monitoring or identity theft protection services" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "False statements or representation", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "False statements or representation", + "offsetgroup": "False statements or representation", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1120 + ], + "xaxis": "x", + "y": [ + "False statements or representation" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem when making payments", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Problem when making payments", + "offsetgroup": "Problem when making payments", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 951 + ], + "xaxis": "x", + "y": [ + "Problem when making payments" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Closing your account", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Closing your account", + "offsetgroup": "Closing your account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 813 + ], + "xaxis": "x", + "y": [ + "Closing your account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Communication tactics", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Communication tactics", + "offsetgroup": "Communication tactics", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 743 + ], + "xaxis": "x", + "y": [ + "Communication tactics" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to pay your loan", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to pay your loan", + "offsetgroup": "Struggling to pay your loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 652 + ], + "xaxis": "x", + "y": [ + "Struggling to pay your loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Advertising and marketing, including promotional offers", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Advertising and marketing, including promotional offers", + "offsetgroup": "Advertising and marketing, including promotional offers", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 592 + ], + "xaxis": "x", + "y": [ + "Advertising and marketing, including promotional offers" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problems at the end of the loan or lease", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Problems at the end of the loan or lease", + "offsetgroup": "Problems at the end of the loan or lease", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 583 + ], + "xaxis": "x", + "y": [ + "Problems at the end of the loan or lease" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Getting a loan or lease", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Getting a loan or lease", + "offsetgroup": "Getting a loan or lease", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 556 + ], + "xaxis": "x", + "y": [ + "Getting a loan or lease" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Trouble using your card", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Trouble using your card", + "offsetgroup": "Trouble using your card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 508 + ], + "xaxis": "x", + "y": [ + "Trouble using your card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to pay mortgage", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to pay mortgage", + "offsetgroup": "Struggling to pay mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 493 + ], + "xaxis": "x", + "y": [ + "Struggling to pay mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a purchase or transfer", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a purchase or transfer", + "offsetgroup": "Problem with a purchase or transfer", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 301 + ], + "xaxis": "x", + "y": [ + "Problem with a purchase or transfer" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to repay your loan", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to repay your loan", + "offsetgroup": "Struggling to repay your loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 275 + ], + "xaxis": "x", + "y": [ + "Struggling to repay your loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Repossession", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Repossession", + "offsetgroup": "Repossession", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 234 + ], + "xaxis": "x", + "y": [ + "Repossession" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Trouble using the card", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Trouble using the card", + "offsetgroup": "Trouble using the card", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 229 + ], + "xaxis": "x", + "y": [ + "Trouble using the card" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with a company's investigation into an existing issue", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Problem with a company's investigation into an existing issue", + "offsetgroup": "Problem with a company's investigation into an existing issue", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 223 + ], + "xaxis": "x", + "y": [ + "Problem with a company's investigation into an existing issue" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Applying for a mortgage or refinancing an existing mortgage", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Applying for a mortgage or refinancing an existing mortgage", + "offsetgroup": "Applying for a mortgage or refinancing an existing mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 216 + ], + "xaxis": "x", + "y": [ + "Applying for a mortgage or refinancing an existing mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Threatened to contact someone or share information improperly", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Threatened to contact someone or share information improperly", + "offsetgroup": "Threatened to contact someone or share information improperly", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 205 + ], + "xaxis": "x", + "y": [ + "Threatened to contact someone or share information improperly" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Closing on a mortgage", + "marker": { + "color": "#FF97FF", + "pattern": { + "shape": "" + } + }, + "name": "Closing on a mortgage", + "offsetgroup": "Closing on a mortgage", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 164 + ], + "xaxis": "x", + "y": [ + "Closing on a mortgage" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem getting a card or closing an account", + "marker": { + "color": "#FECB52", + "pattern": { + "shape": "" + } + }, + "name": "Problem getting a card or closing an account", + "offsetgroup": "Problem getting a card or closing an account", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 157 + ], + "xaxis": "x", + "y": [ + "Problem getting a card or closing an account" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Struggling to pay your bill", + "marker": { + "color": "#636efa", + "pattern": { + "shape": "" + } + }, + "name": "Struggling to pay your bill", + "offsetgroup": "Struggling to pay your bill", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 121 + ], + "xaxis": "x", + "y": [ + "Struggling to pay your bill" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Identity theft protection or other monitoring services", + "marker": { + "color": "#EF553B", + "pattern": { + "shape": "" + } + }, + "name": "Identity theft protection or other monitoring services", + "offsetgroup": "Identity theft protection or other monitoring services", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 82 + ], + "xaxis": "x", + "y": [ + "Identity theft protection or other monitoring services" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Electronic communications", + "marker": { + "color": "#00cc96", + "pattern": { + "shape": "" + } + }, + "name": "Electronic communications", + "offsetgroup": "Electronic communications", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 70 + ], + "xaxis": "x", + "y": [ + "Electronic communications" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Getting a loan", + "marker": { + "color": "#ab63fa", + "pattern": { + "shape": "" + } + }, + "name": "Getting a loan", + "offsetgroup": "Getting a loan", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 40 + ], + "xaxis": "x", + "y": [ + "Getting a loan" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Advertising", + "marker": { + "color": "#FFA15A", + "pattern": { + "shape": "" + } + }, + "name": "Advertising", + "offsetgroup": "Advertising", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 15 + ], + "xaxis": "x", + "y": [ + "Advertising" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Problem with overdraft", + "marker": { + "color": "#19d3f3", + "pattern": { + "shape": "" + } + }, + "name": "Problem with overdraft", + "offsetgroup": "Problem with overdraft", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 4 + ], + "xaxis": "x", + "y": [ + "Problem with overdraft" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Issue with income share agreement", + "marker": { + "color": "#FF6692", + "pattern": { + "shape": "" + } + }, + "name": "Issue with income share agreement", + "offsetgroup": "Issue with income share agreement", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Issue with income share agreement" + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Issue=%{y}
Number of Occurrences=%{x}", + "legendgroup": "Issue where my lender is my school", + "marker": { + "color": "#B6E880", + "pattern": { + "shape": "" + } + }, + "name": "Issue where my lender is my school", + "offsetgroup": "Issue where my lender is my school", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1 + ], + "xaxis": "x", + "y": [ + "Issue where my lender is my school" + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "height": 1200, + "legend": { + "title": { + "text": "Issue" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Issue Count" + }, + "width": 1800, + "xaxis": { + "anchor": "y", + "autorange": true, + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 92401.05263157895 + ], + "title": { + "text": "Number of Occurrences" + }, + "type": "linear" + }, + "yaxis": { + "anchor": "x", + "autorange": true, + "categoryarray": [ + "Issue where my lender is my school", + "Issue with income share agreement", + "Problem with overdraft", + "Advertising", + "Getting a loan", + "Electronic communications", + "Identity theft protection or other monitoring services", + "Struggling to pay your bill", + "Problem getting a card or closing an account", + "Closing on a mortgage", + "Threatened to contact someone or share information improperly", + "Applying for a mortgage or refinancing an existing mortgage", + "Problem with a company's investigation into an existing issue", + "Trouble using the card", + "Repossession", + "Struggling to repay your loan", + "Problem with a purchase or transfer", + "Struggling to pay mortgage", + "Trouble using your card", + "Getting a loan or lease", + "Problems at the end of the loan or lease", + "Advertising and marketing, including promotional offers", + "Struggling to pay your loan", + "Communication tactics", + "Closing your account", + "Problem when making payments", + "False statements or representation", + "Credit monitoring or identity theft protection services", + "Trouble during payment process", + "Fees or interest", + "Took or threatened to take negative or legal action", + "Managing the loan or lease", + "Unable to get your credit report or credit score", + "Getting a credit card", + "Other features, terms, or problems", + "Problem caused by your funds being low", + "Opening an account", + "Problem with a lender or other company charging your account", + "Dealing with your lender or servicer", + "Closing an account", + "Written notification about debt", + "Problem with a purchase shown on your statement", + "Attempts to collect debt not owed", + "Managing an account", + "Problem with a company's investigation into an existing problem", + "Problem with a credit reporting company's investigation into an existing problem", + "Improper use of your report", + "Incorrect information on your report" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "range": [ + -0.5, + 47.5 + ], + "title": { + "text": "Issue" + }, + "type": "category" + } + } + }, + "image/png": "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", + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "issue_counts = df_2023['Issue'].value_counts().reset_index()\n", + "issue_counts.columns = ['Issue', 'Count']\n", + "\n", + "fig = px.bar(issue_counts, y='Issue', x='Count', color='Issue',\n", + " title=\"Issue Count\",\n", + " width = 1800,\n", + " height = 1200,\n", + " labels={'Count': 'Number of Occurrences'}, \n", + " orientation='h') \n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Fine Level Category
Broad Category
Account Management IssuesOpening an account
Account Management IssuesManaging an account
Account Management IssuesClosing an account
Account Management IssuesClosing your account
Credit Reporting and Information IssuesIncorrect information on your report
Credit Reporting and Information IssuesImproper use of your report
Credit Reporting and Information IssuesProblem with a credit reporting company's inve...
Credit Reporting and Information IssuesUnable to get your credit report or credit score
Debt Collection and Reporting ProblemsAttempts to collect debt not owed
Debt Collection and Reporting ProblemsWritten notification about debt
Debt Collection and Reporting ProblemsRepossession
Debt Collection and Reporting ProblemsTook or threatened to take negative or legal a...
Debt Collection and Reporting ProblemsThreatened to contact someone or share informa...
Debt Collection and Reporting ProblemsFalse statements or representation
Payment and Transaction IssuesProblem when making payments
Payment and Transaction IssuesTrouble during payment process
Payment and Transaction IssuesProblem with a lender or other company chargin...
Payment and Transaction IssuesProblem with a purchase shown on your statement
Payment and Transaction IssuesProblem with a purchase or transfer
Payment and Transaction IssuesProblem caused by your funds being low
Loan and Mortgage Related IssuesApplying for a mortgage or refinancing an exis...
Loan and Mortgage Related IssuesDealing with your lender or servicer
Loan and Mortgage Related IssuesStruggling to repay your loan
Loan and Mortgage Related IssuesStruggling to pay mortgage
Loan and Mortgage Related IssuesStruggling to pay your loan
Loan and Mortgage Related IssuesProblems at the end of the loan or lease
Loan and Mortgage Related IssuesManaging the loan or lease
Loan and Mortgage Related IssuesClosing on a mortgage
Credit Card and Electronic Finance IssuesGetting a credit card
Credit Card and Electronic Finance IssuesTrouble using your card
Credit Card and Electronic Finance IssuesTrouble using the card
Credit Card and Electronic Finance IssuesProblem getting a card or closing an account
Credit Card and Electronic Finance IssuesElectronic communications
Credit Card and Electronic Finance IssuesCommunication tactics
Service and Product IssuesOther features, terms, or problems
Service and Product IssuesCredit monitoring or identity theft protection...
Service and Product IssuesIdentity theft protection or other monitoring ...
Service and Product IssuesProblem with overdraft
Service and Product IssuesAdvertising and marketing, including promotion...
Service and Product IssuesAdvertising
Loan, Lease, and Education Financial IssuesGetting a loan or lease
Loan, Lease, and Education Financial IssuesGetting a loan
Loan, Lease, and Education Financial IssuesIssue with income share agreement
Loan, Lease, and Education Financial IssuesIssue where my lender is my school
Company Investigation and Response IssuesProblem with a company's investigation into an...
Company Investigation and Response IssuesProblem with a company's investigation into an...
\n", + "
" + ], + "text/plain": [ + " Fine Level Category\n", + "Broad Category \n", + "Account Management Issues Opening an account\n", + "Account Management Issues Managing an account\n", + "Account Management Issues Closing an account\n", + "Account Management Issues Closing your account\n", + "Credit Reporting and Information Issues Incorrect information on your report\n", + "Credit Reporting and Information Issues Improper use of your report\n", + "Credit Reporting and Information Issues Problem with a credit reporting company's inve...\n", + "Credit Reporting and Information Issues Unable to get your credit report or credit score\n", + "Debt Collection and Reporting Problems Attempts to collect debt not owed\n", + "Debt Collection and Reporting Problems Written notification about debt\n", + "Debt Collection and Reporting Problems Repossession\n", + "Debt Collection and Reporting Problems Took or threatened to take negative or legal a...\n", + "Debt Collection and Reporting Problems Threatened to contact someone or share informa...\n", + "Debt Collection and Reporting Problems False statements or representation\n", + "Payment and Transaction Issues Problem when making payments\n", + "Payment and Transaction Issues Trouble during payment process\n", + "Payment and Transaction Issues Problem with a lender or other company chargin...\n", + "Payment and Transaction Issues Problem with a purchase shown on your statement\n", + "Payment and Transaction Issues Problem with a purchase or transfer\n", + "Payment and Transaction Issues Problem caused by your funds being low\n", + "Loan and Mortgage Related Issues Applying for a mortgage or refinancing an exis...\n", + "Loan and Mortgage Related Issues Dealing with your lender or servicer\n", + "Loan and Mortgage Related Issues Struggling to repay your loan\n", + "Loan and Mortgage Related Issues Struggling to pay mortgage\n", + "Loan and Mortgage Related Issues Struggling to pay your loan\n", + "Loan and Mortgage Related Issues Problems at the end of the loan or lease\n", + "Loan and Mortgage Related Issues Managing the loan or lease\n", + "Loan and Mortgage Related Issues Closing on a mortgage\n", + "Credit Card and Electronic Finance Issues Getting a credit card\n", + "Credit Card and Electronic Finance Issues Trouble using your card\n", + "Credit Card and Electronic Finance Issues Trouble using the card\n", + "Credit Card and Electronic Finance Issues Problem getting a card or closing an account\n", + "Credit Card and Electronic Finance Issues Electronic communications\n", + "Credit Card and Electronic Finance Issues Communication tactics\n", + "Service and Product Issues Other features, terms, or problems\n", + "Service and Product Issues Credit monitoring or identity theft protection...\n", + "Service and Product Issues Identity theft protection or other monitoring ...\n", + "Service and Product Issues Problem with overdraft\n", + "Service and Product Issues Advertising and marketing, including promotion...\n", + "Service and Product Issues Advertising\n", + "Loan, Lease, and Education Financial Issues Getting a loan or lease\n", + "Loan, Lease, and Education Financial Issues Getting a loan\n", + "Loan, Lease, and Education Financial Issues Issue with income share agreement\n", + "Loan, Lease, and Education Financial Issues Issue where my lender is my school\n", + "Company Investigation and Response Issues Problem with a company's investigation into an...\n", + "Company Investigation and Response Issues Problem with a company's investigation into an..." + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "issue_categories = {\n", + " \"Account Management Issues\": [\n", + " \"Opening an account\", \"Managing an account\", \"Closing an account\", \"Closing your account\"\n", + " ],\n", + " \"Credit Reporting and Information Issues\": [\n", + " \"Incorrect information on your report\", \"Improper use of your report\",\n", + " \"Problem with a credit reporting company's investigation into an existing problem\",\n", + " \"Unable to get your credit report or credit score\"\n", + " ],\n", + " \"Debt Collection and Reporting Problems\": [\n", + " \"Attempts to collect debt not owed\", \"Written notification about debt\", \"Repossession\",\n", + " \"Took or threatened to take negative or legal action\", \"Threatened to contact someone or share information improperly\",\n", + " \"False statements or representation\"\n", + " ],\n", + " \"Payment and Transaction Issues\": [\n", + " \"Problem when making payments\", \"Trouble during payment process\",\n", + " \"Problem with a lender or other company charging your account\", \"Problem with a purchase shown on your statement\",\n", + " \"Problem with a purchase or transfer\", \"Problem caused by your funds being low\"\n", + " ],\n", + " \"Loan and Mortgage Related Issues\": [\n", + " \"Applying for a mortgage or refinancing an existing mortgage\", \"Dealing with your lender or servicer\",\n", + " \"Struggling to repay your loan\", \"Struggling to pay mortgage\", \"Struggling to pay your loan\",\n", + " \"Problems at the end of the loan or lease\", \"Managing the loan or lease\", \"Closing on a mortgage\"\n", + " ],\n", + " \"Credit Card and Electronic Finance Issues\": [\n", + " \"Getting a credit card\", \"Trouble using your card\", \"Trouble using the card\",\n", + " \"Problem getting a card or closing an account\", \"Electronic communications\", \"Communication tactics\"\n", + " ],\n", + " \"Service and Product Issues\": [\n", + " \"Other features, terms, or problems\", \"Credit monitoring or identity theft protection services\",\n", + " \"Identity theft protection or other monitoring services\", \"Problem with overdraft\",\n", + " \"Advertising and marketing, including promotional offers\", \"Advertising\"\n", + " ],\n", + " \"Loan, Lease, and Education Financial Issues\": [\n", + " \"Getting a loan or lease\", \"Getting a loan\", \"Issue with income share agreement\", \"Issue where my lender is my school\"\n", + " ],\n", + " \"Company Investigation and Response Issues\": [\n", + " \"Problem with a company's investigation into an existing problem\", \"Problem with a company's investigation into an existing issue\"\n", + " ]\n", + "}\n", + "\n", + "broad_categories = []\n", + "fine_level_categories = []\n", + "for broad_category, fine_levels in issue_categories.items():\n", + " for fine_level in fine_levels:\n", + " broad_categories.append(broad_category)\n", + " fine_level_categories.append(fine_level)\n", + "\n", + "df_issues = pd.DataFrame({\n", + " \"Broad Category\": broad_categories,\n", + " \"Fine Level Category\": fine_level_categories\n", + "})\n", + "\n", + "df_issues.set_index('Broad Category')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Adhoc exploration" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ProductSub-productIssueSub-issueConsumer complaint narrativeCompany public responseCompanyStateZIP codeDate received
0Checking or savings accountOther banking product or serviceOpening an accountAccount opened without my consent or knowledgeDate : XXXX XXXXo : XXXX XXXX XXXX / XXXX XXXX...Company has responded to the consumer and the ...WELLS FARGO & COMPANYNC275132023-12-29
1Credit ReportingCredit reportingProblem with a company's investigation into an...Investigation took more than 30 daysI have previously disputed this item with you ...Company has responded to the consumer and the ...Experian Information Solutions Inc.MN551242023-12-29
2Debt collectionOther debtAttempts to collect debt not owedDebt was result of identity theftI kindly request that you update my credit rep...Company has responded to the consumer and the ...Experian Information Solutions Inc.IL606212023-12-28
3Debt collectionOther debtAttempts to collect debt not owedDebt was result of identity theftI implore you to conduct a comprehensive inves...Company has responded to the consumer and the ...Experian Information Solutions Inc.NJ087232023-12-28
4Credit ReportingCredit reportingIncorrect information on your reportInformation belongs to someone elseIn accordance with the Fair Credit Reporting A...Company has responded to the consumer and the ...TRANSUNION INTERMEDIATE HOLDINGS, INC.TX773772023-11-27
\n", + "
" + ], + "text/plain": [ + " Product Sub-product \\\n", + "0 Checking or savings account Other banking product or service \n", + "1 Credit Reporting Credit reporting \n", + "2 Debt collection Other debt \n", + "3 Debt collection Other debt \n", + "4 Credit Reporting Credit reporting \n", + "\n", + " Issue \\\n", + "0 Opening an account \n", + "1 Problem with a company's investigation into an... \n", + "2 Attempts to collect debt not owed \n", + "3 Attempts to collect debt not owed \n", + "4 Incorrect information on your report \n", + "\n", + " Sub-issue \\\n", + "0 Account opened without my consent or knowledge \n", + "1 Investigation took more than 30 days \n", + "2 Debt was result of identity theft \n", + "3 Debt was result of identity theft \n", + "4 Information belongs to someone else \n", + "\n", + " Consumer complaint narrative \\\n", + "0 Date : XXXX XXXXo : XXXX XXXX XXXX / XXXX XXXX... \n", + "1 I have previously disputed this item with you ... \n", + "2 I kindly request that you update my credit rep... \n", + "3 I implore you to conduct a comprehensive inves... \n", + "4 In accordance with the Fair Credit Reporting A... \n", + "\n", + " Company public response \\\n", + "0 Company has responded to the consumer and the ... \n", + "1 Company has responded to the consumer and the ... \n", + "2 Company has responded to the consumer and the ... \n", + "3 Company has responded to the consumer and the ... \n", + "4 Company has responded to the consumer and the ... \n", + "\n", + " Company State ZIP code Date received \n", + "0 WELLS FARGO & COMPANY NC 27513 2023-12-29 \n", + "1 Experian Information Solutions Inc. MN 55124 2023-12-29 \n", + "2 Experian Information Solutions Inc. IL 60621 2023-12-28 \n", + "3 Experian Information Solutions Inc. NJ 08723 2023-12-28 \n", + "4 TRANSUNION INTERMEDIATE HOLDINGS, INC. TX 77377 2023-11-27 " + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'Product': 'Checking or savings account',\n", + " 'Sub-product': 'Other banking product or service',\n", + " 'Issue': 'Opening an account',\n", + " 'Sub-issue': 'Account opened without my consent or knowledge',\n", + " 'Consumer complaint narrative': 'Date : XXXX XXXXo : XXXX XXXX XXXX / XXXX XXXX Subject : Wells Fargo Case number : XXXX Account number ending in : XXXX Checking account : XXXX ; Join account under XXXX and XXXX XXXX Saving account # : XXXX. Join account under XXXX and XXXX XXXX Brokerage Account # : XXXX Under XXXX XXXX, XXXX did not open this account before. \\n\\nDear Sir : On XXXX XXXX XXXX, without knowing the situation, My account in Wells Fargo bank was hacked by a hacker, who open a brokerage account under my name. The hacker transferred all of my savings account \\'s money to purchase XXXX shares until I got an insufficient funds notice from an e-mail from the bank around XXXX XXXX XXXX \\n\\nImmediately I reported to Wells Fargo Bank and told the claim department lady, that I did not open a brokerage account with Wells Fargo Bank. The existing stock share was not purchased from me and did not belong to me. The claim or brokerage account lady told me I have to make up existing insufficient debt. I did not agree to that and told them those stocks I did not own that because I had not purchased them before. Later on, my account was locked and I went to XXXX for my mother \\'s XXXX XXXX and took care of her health until back time on XXXX XXXX XXXX I tried to contact the Wells Fargo claim department for details. They told me my case had been investigated and closed as shown in the letter on XXXX XXXX XXXXXXXX They said all of the communication devices were identified such as IP, phone number, etc. That is why they closed my case. \\nI am totally against their conclusion based on the following reasons and request your organization to investigate my case : XXXX Who set up my brokerage account with the wrong phone number connection under my brokerage account profile? \\nXXXX. Over-action from either the brokerage account department or claim department without notice of my claim. They took out all of my money from my savings account to cover that insufficient debt in the brokerage account which was under my name. At this period, my account still was locked from Wells Fargo Bank. So far, I do not think I still own this brokerage account. They should not have the right to take my savings account money to cover their debt. \\nXXXX. In the IP verification sheet, it was received on XX/XX/XXXX. This sheet was mailed on XX/XX/XXXX letter, there are too many wrongs such as IP address and others. \\nIP address and ISP, State, City, and online Login history are wrong. I did verify with XXXX XXXX XXXX, XXXX XXXX, XXXX, my public IP is XXXX. It is not XXXX as your sheet listed in attached file XXXX Address XXXX. For the other company, XXXX XXXX XXXX XXXX, I did call the customer service department with XXXX XXXX, XXXX. She did check her company file and told me they did not have any service in my area. The other listed company XXXX XXXX XXXX uses XXXX for internet service which we did not have use XXXX before. So far, XXXXXXXX XXXX XXXX was my home previous internet service company in XXXX. The current internet company is XXXX XXXX which also served us this whole year already. \\nXXXX. User Agent with XXXX ( XXXX XXXX XXXX XXXX XXXX : XXXX ) XXXX XXXX XXXX ( XXXX, like XXXX. XXXX ) I n my home desktop computer, I do not have any XXXX XXXX XXXX XXXX XXXX as shown in your user agent. XXXX available browsers are XXXX XXXX XXXX XXXX XXXX XXXX \\nXXXX. In Wells Fargo Banks \" Righ to Documentation Package Contents \\'\\' in this sheet, see attached file XXXX XXXX. My home internet company was XXXX XXXX running from XX/XX/XXXX to current time XX/XX/XXXX. I did not change the internet provider XXXX XXXX. So the IP public address should be XXXX, and the location should be in XXXX XXXX XXXX XXXX as shown in the \" Online Login History \\'\\' sheet, as shown as the file on XXXX XXXX I have no idea why you list so many different IP addresses with XXXX XXXX XXXX, XXXX, XXXX, and XXXX XXXX XXXX XXXX in different locations. \\nI am not sure about the terms, XXXX XXXX XXXX XXXX XXXX. Do those terms are shown in your bank system? Once people access your system, the number shows up automatically. If that is true, that is your bank security system problem. At least the IP address and, and ISP is not from my side. Do you need to verify where it came from? \\nI will continue to fight this case to recover my loss. Also, I believe bank security problems should not count as customer responsibility completely. \\nConclusion : I did request detailed device connection information from Wells Fargo Bank. There are a few points that are not right such as 1. The Brokerage profile listed the connection phone number as wrong, which I did not see before. \\nXXXX. IP address XXXX is different than my computer \\'s public IP XXXX. \\nXXXX. All list of IPSs companies, XXXX XXXX XXXX XXXX XXXX XXXX XXXX and XXXX XXXX XXXX XXXX are wrong which I did not use before. The user agent through XXXX was wrong too. I did not use the XXXX browser before. \\nXXXX. The important thing is who allows people to open brokerage accounts with the wrong profile phone number under my name without my permission. Wells Fargo bank was designed to run savings and checking accounts purely without playing any brokerage accounts. \\nCustomers opening savings and checking accounts in Wells Fargo bank is based on trust, and believed that security protection technology should be the bank \\'s responsibility. There is no reason to ask customers to run security designs or set up devices for bank security systems. \\nPlease help me to invest this case and get back those lost money from bank. Thanks. \\nXXXX XXXX',\n", + " 'Company public response': 'Company has responded to the consumer and the CFPB and chooses not to provide a public response',\n", + " 'Company': 'WELLS FARGO & COMPANY',\n", + " 'State': 'NC',\n", + " 'ZIP code': '27513',\n", + " 'Date received': Timestamp('2023-12-29 00:00:00')}" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023.loc[0,:].to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Opening an account',\n", + " \"Problem with a company's investigation into an existing problem\",\n", + " 'Attempts to collect debt not owed',\n", + " 'Incorrect information on your report',\n", + " 'Improper use of your report', 'Managing an account',\n", + " 'Applying for a mortgage or refinancing an existing mortgage',\n", + " 'Electronic communications', 'Problem when making payments',\n", + " 'Communication tactics', 'Trouble during payment process',\n", + " 'Problem with a lender or other company charging your account',\n", + " 'Closing an account', 'Other features, terms, or problems',\n", + " 'Took or threatened to take negative or legal action',\n", + " 'Written notification about debt', 'Repossession',\n", + " 'Threatened to contact someone or share information improperly',\n", + " 'False statements or representation',\n", + " 'Dealing with your lender or servicer', 'Getting a credit card',\n", + " 'Problems at the end of the loan or lease',\n", + " 'Problem with a purchase shown on your statement',\n", + " 'Struggling to repay your loan',\n", + " 'Credit monitoring or identity theft protection services',\n", + " \"Problem with a credit reporting company's investigation into an existing problem\",\n", + " 'Getting a loan or lease', 'Struggling to pay mortgage',\n", + " 'Struggling to pay your loan', 'Trouble using your card',\n", + " 'Trouble using the card', 'Problem caused by your funds being low',\n", + " 'Struggling to pay your bill',\n", + " 'Unable to get your credit report or credit score',\n", + " 'Closing your account', 'Managing the loan or lease',\n", + " \"Problem with a company's investigation into an existing issue\",\n", + " 'Fees or interest',\n", + " 'Advertising and marketing, including promotional offers',\n", + " 'Problem with a purchase or transfer', 'Closing on a mortgage',\n", + " 'Problem getting a card or closing an account',\n", + " 'Identity theft protection or other monitoring services',\n", + " 'Problem with overdraft', 'Getting a loan', 'Advertising',\n", + " 'Issue with income share agreement',\n", + " 'Issue where my lender is my school'], dtype=object)" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Issue'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Product', 'Sub-product', 'Issue', 'Sub-issue',\n", + " 'Consumer complaint narrative', 'Company public response', 'Company',\n", + " 'State', 'ZIP code', 'Date received'],\n", + " dtype='object')" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Zero-shot classification using transformers" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Credit Reporting 213712\n", + "Credit/Prepaid Card 16326\n", + "Checking or savings account 15157\n", + "Debt collection 11783\n", + "Loans / Mortgage 8337\n", + "Name: Product, dtype: int64" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_2023['Product'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "product_categories = df_2023['Product'].unique().tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import Dataset\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "dataset = Dataset.from_pandas(df_2023[['Consumer complaint narrative', 'Product']])\n", + "\n", + "def stratified_split(dataset, test_size=int(df_2023.shape[0] * 0.01)):\n", + " labels = dataset['Product']\n", + " \n", + " train_idx, test_idx = train_test_split(range(len(dataset)), test_size=test_size, stratify=labels, random_state=42)\n", + " \n", + " train_dataset = dataset.select(train_idx)\n", + " test_dataset = dataset.select(test_idx)\n", + " \n", + " return train_dataset, test_dataset\n", + "\n", + "train_dataset, test_dataset = stratified_split(dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(262662, 2)" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_dataset.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2653, 2)" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_dataset.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "01b4c9ce857741fd953b75be87641ca6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "config.json: 0%| | 0.00/1.09k [00:00 23\u001b[0m predicted_categories \u001b[38;5;241m=\u001b[39m \u001b[43mclassify_texts\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtest_texts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mproduct_categories\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[60], line 17\u001b[0m, in \u001b[0;36mclassify_texts\u001b[0;34m(texts, labels)\u001b[0m\n\u001b[1;32m 15\u001b[0m predictions \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m text \u001b[38;5;129;01min\u001b[39;00m tqdm(texts):\n\u001b[0;32m---> 17\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mclassifier\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcandidate_labels\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlabels\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 18\u001b[0m predictions\u001b[38;5;241m.\u001b[39mappend(result[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlabels\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 19\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m predictions\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/pipelines/zero_shot_classification.py:206\u001b[0m, in \u001b[0;36mZeroShotClassificationPipeline.__call__\u001b[0;34m(self, sequences, *args, **kwargs)\u001b[0m\n\u001b[1;32m 203\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 204\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to understand extra arguments \u001b[39m\u001b[38;5;132;01m{\u001b[39;00margs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 206\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__call__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43msequences\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/pipelines/base.py:1132\u001b[0m, in \u001b[0;36mPipeline.__call__\u001b[0;34m(self, inputs, num_workers, batch_size, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1130\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miterate(inputs, preprocess_params, forward_params, postprocess_params)\n\u001b[1;32m 1131\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mframework \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpt\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m, ChunkPipeline):\n\u001b[0;32m-> 1132\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1133\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43miter\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1134\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_iterator\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1135\u001b[0m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_workers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreprocess_params\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mforward_params\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpostprocess_params\u001b[49m\n\u001b[1;32m 1136\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1137\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1138\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1139\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1140\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun_single(inputs, preprocess_params, forward_params, postprocess_params)\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/pipelines/pt_utils.py:124\u001b[0m, in \u001b[0;36mPipelineIterator.__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloader_batch_item()\n\u001b[1;32m 123\u001b[0m \u001b[38;5;66;03m# We're out of items within a batch\u001b[39;00m\n\u001b[0;32m--> 124\u001b[0m item \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 125\u001b[0m processed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfer(item, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparams)\n\u001b[1;32m 126\u001b[0m \u001b[38;5;66;03m# We now have a batch of \"inferred things\".\u001b[39;00m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/pipelines/pt_utils.py:266\u001b[0m, in \u001b[0;36mPipelinePackIterator.__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 263\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m accumulator\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_last:\n\u001b[0;32m--> 266\u001b[0m processed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 267\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloader_batch_size \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 268\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(processed, torch\u001b[38;5;241m.\u001b[39mTensor):\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/pipelines/base.py:1046\u001b[0m, in \u001b[0;36mPipeline.forward\u001b[0;34m(self, model_inputs, **forward_params)\u001b[0m\n\u001b[1;32m 1044\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m inference_context():\n\u001b[1;32m 1045\u001b[0m model_inputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ensure_tensor_on_device(model_inputs, device\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdevice)\n\u001b[0;32m-> 1046\u001b[0m model_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_forward\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel_inputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mforward_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1047\u001b[0m model_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ensure_tensor_on_device(model_outputs, device\u001b[38;5;241m=\u001b[39mtorch\u001b[38;5;241m.\u001b[39mdevice(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcpu\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m 1048\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/pipelines/zero_shot_classification.py:229\u001b[0m, in \u001b[0;36mZeroShotClassificationPipeline._forward\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m 227\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muse_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m inspect\u001b[38;5;241m.\u001b[39msignature(model_forward)\u001b[38;5;241m.\u001b[39mparameters\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[1;32m 228\u001b[0m model_inputs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muse_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 229\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmodel_inputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 231\u001b[0m model_outputs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 232\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcandidate_label\u001b[39m\u001b[38;5;124m\"\u001b[39m: candidate_label,\n\u001b[1;32m 233\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msequence\u001b[39m\u001b[38;5;124m\"\u001b[39m: sequence,\n\u001b[1;32m 234\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mis_last\u001b[39m\u001b[38;5;124m\"\u001b[39m: inputs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mis_last\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[1;32m 235\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moutputs,\n\u001b[1;32m 236\u001b[0m }\n\u001b[1;32m 237\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m model_outputs\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:1300\u001b[0m, in \u001b[0;36mDebertaV2ForSequenceClassification.forward\u001b[0;34m(self, input_ids, attention_mask, token_type_ids, position_ids, inputs_embeds, labels, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m 1292\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1293\u001b[0m \u001b[38;5;124;03mlabels (`torch.LongTensor` of shape `(batch_size,)`, *optional*):\u001b[39;00m\n\u001b[1;32m 1294\u001b[0m \u001b[38;5;124;03m Labels for computing the sequence classification/regression loss. Indices should be in `[0, ...,\u001b[39;00m\n\u001b[1;32m 1295\u001b[0m \u001b[38;5;124;03m config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If\u001b[39;00m\n\u001b[1;32m 1296\u001b[0m \u001b[38;5;124;03m `config.num_labels > 1` a classification loss is computed (Cross-Entropy).\u001b[39;00m\n\u001b[1;32m 1297\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1298\u001b[0m return_dict \u001b[38;5;241m=\u001b[39m return_dict \u001b[38;5;28;01mif\u001b[39;00m return_dict \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig\u001b[38;5;241m.\u001b[39muse_return_dict\n\u001b[0;32m-> 1300\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdeberta\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1301\u001b[0m \u001b[43m \u001b[49m\u001b[43minput_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1302\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken_type_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken_type_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1303\u001b[0m \u001b[43m \u001b[49m\u001b[43mattention_mask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mattention_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1304\u001b[0m \u001b[43m \u001b[49m\u001b[43mposition_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mposition_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1305\u001b[0m \u001b[43m \u001b[49m\u001b[43minputs_embeds\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs_embeds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1306\u001b[0m \u001b[43m \u001b[49m\u001b[43moutput_attentions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_attentions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1307\u001b[0m \u001b[43m \u001b[49m\u001b[43moutput_hidden_states\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_hidden_states\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1308\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_dict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1309\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1311\u001b[0m encoder_layer \u001b[38;5;241m=\u001b[39m outputs[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 1312\u001b[0m pooled_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpooler(encoder_layer)\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:1070\u001b[0m, in \u001b[0;36mDebertaV2Model.forward\u001b[0;34m(self, input_ids, attention_mask, token_type_ids, position_ids, inputs_embeds, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m 1060\u001b[0m token_type_ids \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mzeros(input_shape, dtype\u001b[38;5;241m=\u001b[39mtorch\u001b[38;5;241m.\u001b[39mlong, device\u001b[38;5;241m=\u001b[39mdevice)\n\u001b[1;32m 1062\u001b[0m embedding_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39membeddings(\n\u001b[1;32m 1063\u001b[0m input_ids\u001b[38;5;241m=\u001b[39minput_ids,\n\u001b[1;32m 1064\u001b[0m token_type_ids\u001b[38;5;241m=\u001b[39mtoken_type_ids,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1067\u001b[0m inputs_embeds\u001b[38;5;241m=\u001b[39minputs_embeds,\n\u001b[1;32m 1068\u001b[0m )\n\u001b[0;32m-> 1070\u001b[0m encoder_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1071\u001b[0m \u001b[43m \u001b[49m\u001b[43membedding_output\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1072\u001b[0m \u001b[43m \u001b[49m\u001b[43mattention_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1073\u001b[0m \u001b[43m \u001b[49m\u001b[43moutput_hidden_states\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 1074\u001b[0m \u001b[43m \u001b[49m\u001b[43moutput_attentions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_attentions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1075\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_dict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1076\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1077\u001b[0m encoded_layers \u001b[38;5;241m=\u001b[39m encoder_outputs[\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m 1079\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mz_steps \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:514\u001b[0m, in \u001b[0;36mDebertaV2Encoder.forward\u001b[0;34m(self, hidden_states, attention_mask, output_hidden_states, output_attentions, query_states, relative_pos, return_dict)\u001b[0m\n\u001b[1;32m 504\u001b[0m output_states \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_gradient_checkpointing_func(\n\u001b[1;32m 505\u001b[0m layer_module\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__call__\u001b[39m,\n\u001b[1;32m 506\u001b[0m next_kv,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 511\u001b[0m output_attentions,\n\u001b[1;32m 512\u001b[0m )\n\u001b[1;32m 513\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 514\u001b[0m output_states \u001b[38;5;241m=\u001b[39m \u001b[43mlayer_module\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 515\u001b[0m \u001b[43m \u001b[49m\u001b[43mnext_kv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 516\u001b[0m \u001b[43m \u001b[49m\u001b[43mattention_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 517\u001b[0m \u001b[43m \u001b[49m\u001b[43mquery_states\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquery_states\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 518\u001b[0m \u001b[43m \u001b[49m\u001b[43mrelative_pos\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrelative_pos\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 519\u001b[0m \u001b[43m \u001b[49m\u001b[43mrel_embeddings\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrel_embeddings\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 520\u001b[0m \u001b[43m \u001b[49m\u001b[43moutput_attentions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_attentions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 521\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 523\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m output_attentions:\n\u001b[1;32m 524\u001b[0m output_states, att_m \u001b[38;5;241m=\u001b[39m output_states\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:372\u001b[0m, in \u001b[0;36mDebertaV2Layer.forward\u001b[0;34m(self, hidden_states, attention_mask, query_states, relative_pos, rel_embeddings, output_attentions)\u001b[0m\n\u001b[1;32m 370\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m output_attentions:\n\u001b[1;32m 371\u001b[0m attention_output, att_matrix \u001b[38;5;241m=\u001b[39m attention_output\n\u001b[0;32m--> 372\u001b[0m intermediate_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mintermediate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mattention_output\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 373\u001b[0m layer_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput(intermediate_output, attention_output)\n\u001b[1;32m 374\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m output_attentions:\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:324\u001b[0m, in \u001b[0;36mDebertaV2Intermediate.forward\u001b[0;34m(self, hidden_states)\u001b[0m\n\u001b[1;32m 323\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, hidden_states: torch\u001b[38;5;241m.\u001b[39mTensor) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m torch\u001b[38;5;241m.\u001b[39mTensor:\n\u001b[0;32m--> 324\u001b[0m hidden_states \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdense\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhidden_states\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 325\u001b[0m hidden_states \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mintermediate_act_fn(hidden_states)\n\u001b[1;32m 326\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m hidden_states\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/miniconda3/envs/transformers/lib/python3.9/site-packages/torch/nn/modules/linear.py:116\u001b[0m, in \u001b[0;36mLinear.forward\u001b[0;34m(self, input)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28minput\u001b[39m: Tensor) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Tensor:\n\u001b[0;32m--> 116\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mF\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlinear\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mweight\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbias\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "from transformers import pipeline\n", + "from sklearn.metrics import confusion_matrix\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "from tqdm import tqdm\n", + "import torch\n", + "\n", + "product_categories = df_2023['Product'].unique().tolist()\n", + "device = \"mps\" if torch.backends.mps.is_available() else \"cpu\"\n", + "\n", + "classifier = pipeline(\"zero-shot-classification\", model=\"MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli\", device = device)\n", + "\n", + "def classify_texts(texts, labels):\n", + " predictions = []\n", + " for text in tqdm(texts):\n", + " result = classifier(text, candidate_labels=labels)\n", + " predictions.append(result['labels'][0])\n", + " return predictions\n", + "\n", + "# Classify the test set (you may want to batch this for efficiency)\n", + "test_texts = test_dataset['Consumer complaint narrative']\n", + "predicted_categories = classify_texts(test_texts, product_categories)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "true_categories = test_dataset['Product']\n", + "cm = confusion_matrix(true_categories, predicted_categories, labels=product_categories)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "sns.heatmap(cm, annot=True, fmt='d', ax=ax, cmap='Blues', xticklabels=product_categories, yticklabels=product_categories)\n", + "plt.ylabel('Actual')\n", + "plt.xlabel('Predicted')\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llm", + "language": "python", + "name": "llm" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}