{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 96,
      "metadata": {
        "id": "BFAiaUj2ijaZ"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "url = 'https://raw.githubusercontent.com/caroline710/big-data-final/main/data/distilbert-usa.csv?token=GHSAT0AAAAAACKS7T4CPWHARX2P2DK77XL2ZLSIMEA'\n",
        "\n",
        "data = pd.read_csv(url)\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "pZyZce4kovTb",
        "outputId": "9eead540-55af-4d4a-fb8f-ceb69b0209c8"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Tweet ID         Username  \\\n",
              "0  954865820156547072     JackPolakoff   \n",
              "1  954865477389570049     JackPolakoff   \n",
              "2  954865148212207617      sophixklein   \n",
              "3  954865125315481600  environmentalhe   \n",
              "4  954096307341115392               UN   \n",
              "\n",
              "                                             Content  \\\n",
              "0  DANGER!\\n#StableGenius at work\\n  #ImpeachTrum...   \n",
              "1  What could possibly go wrong giving one party ...   \n",
              "2  @sameverlark_ @ToddDracula probs right; honest...   \n",
              "3  This, 100%. Prevention is the best protection ...   \n",
              "4  Disasters push 24M people into poverty every y...   \n",
              "\n",
              "                  Created At       User Location Filtered Location    Label  \\\n",
              "0  2018-01-20 23:58:46+00:00       New York City          New York  LABEL_1   \n",
              "1  2018-01-20 23:57:25+00:00       New York City          New York  LABEL_1   \n",
              "2  2018-01-20 23:56:06+00:00  West Virginia, USA          Virginia  LABEL_1   \n",
              "3  2018-01-20 23:56:01+00:00   Thousand Oaks, CA        California  LABEL_1   \n",
              "4  2018-01-18 21:01:00+00:00        New York, NY          New York  LABEL_1   \n",
              "\n",
              "   Confidence  SentimentScore                                      Logits  \\\n",
              "0    0.770995        1.213938  [-0.42340710759162903, 0.7905306816101074]   \n",
              "1    0.882707        2.018322   [-0.8597121238708496, 1.1586099863052368]   \n",
              "2    0.970610        3.497270     [-1.611891508102417, 1.885378122329712]   \n",
              "3    0.994816        5.257029     [-2.465799570083618, 2.791228771209717]   \n",
              "4    0.991497        4.758805   [-2.2687225341796875, 2.4900829792022705]   \n",
              "\n",
              "  Month_Year  \n",
              "0    01/2018  \n",
              "1    01/2018  \n",
              "2    01/2018  \n",
              "3    01/2018  \n",
              "4    01/2018  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-59d2794a-20d2-4e5d-92df-52f00f9cd706\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Tweet ID</th>\n",
              "      <th>Username</th>\n",
              "      <th>Content</th>\n",
              "      <th>Created At</th>\n",
              "      <th>User Location</th>\n",
              "      <th>Filtered Location</th>\n",
              "      <th>Label</th>\n",
              "      <th>Confidence</th>\n",
              "      <th>SentimentScore</th>\n",
              "      <th>Logits</th>\n",
              "      <th>Month_Year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>954865820156547072</td>\n",
              "      <td>JackPolakoff</td>\n",
              "      <td>DANGER!\\n#StableGenius at work\\n  #ImpeachTrum...</td>\n",
              "      <td>2018-01-20 23:58:46+00:00</td>\n",
              "      <td>New York City</td>\n",
              "      <td>New York</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.770995</td>\n",
              "      <td>1.213938</td>\n",
              "      <td>[-0.42340710759162903, 0.7905306816101074]</td>\n",
              "      <td>01/2018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>954865477389570049</td>\n",
              "      <td>JackPolakoff</td>\n",
              "      <td>What could possibly go wrong giving one party ...</td>\n",
              "      <td>2018-01-20 23:57:25+00:00</td>\n",
              "      <td>New York City</td>\n",
              "      <td>New York</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.882707</td>\n",
              "      <td>2.018322</td>\n",
              "      <td>[-0.8597121238708496, 1.1586099863052368]</td>\n",
              "      <td>01/2018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>954865148212207617</td>\n",
              "      <td>sophixklein</td>\n",
              "      <td>@sameverlark_ @ToddDracula probs right; honest...</td>\n",
              "      <td>2018-01-20 23:56:06+00:00</td>\n",
              "      <td>West Virginia, USA</td>\n",
              "      <td>Virginia</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.970610</td>\n",
              "      <td>3.497270</td>\n",
              "      <td>[-1.611891508102417, 1.885378122329712]</td>\n",
              "      <td>01/2018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>954865125315481600</td>\n",
              "      <td>environmentalhe</td>\n",
              "      <td>This, 100%. Prevention is the best protection ...</td>\n",
              "      <td>2018-01-20 23:56:01+00:00</td>\n",
              "      <td>Thousand Oaks, CA</td>\n",
              "      <td>California</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.994816</td>\n",
              "      <td>5.257029</td>\n",
              "      <td>[-2.465799570083618, 2.791228771209717]</td>\n",
              "      <td>01/2018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>954096307341115392</td>\n",
              "      <td>UN</td>\n",
              "      <td>Disasters push 24M people into poverty every y...</td>\n",
              "      <td>2018-01-18 21:01:00+00:00</td>\n",
              "      <td>New York, NY</td>\n",
              "      <td>New York</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.991497</td>\n",
              "      <td>4.758805</td>\n",
              "      <td>[-2.2687225341796875, 2.4900829792022705]</td>\n",
              "      <td>01/2018</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-59d2794a-20d2-4e5d-92df-52f00f9cd706')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-59d2794a-20d2-4e5d-92df-52f00f9cd706 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-59d2794a-20d2-4e5d-92df-52f00f9cd706');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-a0b5e601-692e-43fa-a84b-9d2feaa84e62\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a0b5e601-692e-43fa-a84b-9d2feaa84e62')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a0b5e601-692e-43fa-a84b-9d2feaa84e62 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['Year'] = pd.DatetimeIndex(data['Month_Year']).year\n",
        "data['Month'] = pd.DatetimeIndex(data['Month_Year']).month_name()\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "ixV2yf89Clpj",
        "outputId": "9264678a-9d88-42c9-decb-4fd3b49079a0"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Tweet ID         Username  \\\n",
              "0  954865820156547072     JackPolakoff   \n",
              "1  954865477389570049     JackPolakoff   \n",
              "2  954865148212207617      sophixklein   \n",
              "3  954865125315481600  environmentalhe   \n",
              "4  954096307341115392               UN   \n",
              "\n",
              "                                             Content  \\\n",
              "0  DANGER!\\n#StableGenius at work\\n  #ImpeachTrum...   \n",
              "1  What could possibly go wrong giving one party ...   \n",
              "2  @sameverlark_ @ToddDracula probs right; honest...   \n",
              "3  This, 100%. Prevention is the best protection ...   \n",
              "4  Disasters push 24M people into poverty every y...   \n",
              "\n",
              "                  Created At       User Location Filtered Location    Label  \\\n",
              "0  2018-01-20 23:58:46+00:00       New York City          New York  LABEL_1   \n",
              "1  2018-01-20 23:57:25+00:00       New York City          New York  LABEL_1   \n",
              "2  2018-01-20 23:56:06+00:00  West Virginia, USA          Virginia  LABEL_1   \n",
              "3  2018-01-20 23:56:01+00:00   Thousand Oaks, CA        California  LABEL_1   \n",
              "4  2018-01-18 21:01:00+00:00        New York, NY          New York  LABEL_1   \n",
              "\n",
              "   Confidence  SentimentScore                                      Logits  \\\n",
              "0    0.770995        1.213938  [-0.42340710759162903, 0.7905306816101074]   \n",
              "1    0.882707        2.018322   [-0.8597121238708496, 1.1586099863052368]   \n",
              "2    0.970610        3.497270     [-1.611891508102417, 1.885378122329712]   \n",
              "3    0.994816        5.257029     [-2.465799570083618, 2.791228771209717]   \n",
              "4    0.991497        4.758805   [-2.2687225341796875, 2.4900829792022705]   \n",
              "\n",
              "  Month_Year  Year    Month  \n",
              "0    01/2018  2018  January  \n",
              "1    01/2018  2018  January  \n",
              "2    01/2018  2018  January  \n",
              "3    01/2018  2018  January  \n",
              "4    01/2018  2018  January  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e2497b1e-e6fa-45cc-a7fc-b2383ee887c3\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Tweet ID</th>\n",
              "      <th>Username</th>\n",
              "      <th>Content</th>\n",
              "      <th>Created At</th>\n",
              "      <th>User Location</th>\n",
              "      <th>Filtered Location</th>\n",
              "      <th>Label</th>\n",
              "      <th>Confidence</th>\n",
              "      <th>SentimentScore</th>\n",
              "      <th>Logits</th>\n",
              "      <th>Month_Year</th>\n",
              "      <th>Year</th>\n",
              "      <th>Month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>954865820156547072</td>\n",
              "      <td>JackPolakoff</td>\n",
              "      <td>DANGER!\\n#StableGenius at work\\n  #ImpeachTrum...</td>\n",
              "      <td>2018-01-20 23:58:46+00:00</td>\n",
              "      <td>New York City</td>\n",
              "      <td>New York</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.770995</td>\n",
              "      <td>1.213938</td>\n",
              "      <td>[-0.42340710759162903, 0.7905306816101074]</td>\n",
              "      <td>01/2018</td>\n",
              "      <td>2018</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>954865477389570049</td>\n",
              "      <td>JackPolakoff</td>\n",
              "      <td>What could possibly go wrong giving one party ...</td>\n",
              "      <td>2018-01-20 23:57:25+00:00</td>\n",
              "      <td>New York City</td>\n",
              "      <td>New York</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.882707</td>\n",
              "      <td>2.018322</td>\n",
              "      <td>[-0.8597121238708496, 1.1586099863052368]</td>\n",
              "      <td>01/2018</td>\n",
              "      <td>2018</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>954865148212207617</td>\n",
              "      <td>sophixklein</td>\n",
              "      <td>@sameverlark_ @ToddDracula probs right; honest...</td>\n",
              "      <td>2018-01-20 23:56:06+00:00</td>\n",
              "      <td>West Virginia, USA</td>\n",
              "      <td>Virginia</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.970610</td>\n",
              "      <td>3.497270</td>\n",
              "      <td>[-1.611891508102417, 1.885378122329712]</td>\n",
              "      <td>01/2018</td>\n",
              "      <td>2018</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>954865125315481600</td>\n",
              "      <td>environmentalhe</td>\n",
              "      <td>This, 100%. Prevention is the best protection ...</td>\n",
              "      <td>2018-01-20 23:56:01+00:00</td>\n",
              "      <td>Thousand Oaks, CA</td>\n",
              "      <td>California</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.994816</td>\n",
              "      <td>5.257029</td>\n",
              "      <td>[-2.465799570083618, 2.791228771209717]</td>\n",
              "      <td>01/2018</td>\n",
              "      <td>2018</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>954096307341115392</td>\n",
              "      <td>UN</td>\n",
              "      <td>Disasters push 24M people into poverty every y...</td>\n",
              "      <td>2018-01-18 21:01:00+00:00</td>\n",
              "      <td>New York, NY</td>\n",
              "      <td>New York</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.991497</td>\n",
              "      <td>4.758805</td>\n",
              "      <td>[-2.2687225341796875, 2.4900829792022705]</td>\n",
              "      <td>01/2018</td>\n",
              "      <td>2018</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e2497b1e-e6fa-45cc-a7fc-b2383ee887c3')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e2497b1e-e6fa-45cc-a7fc-b2383ee887c3 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e2497b1e-e6fa-45cc-a7fc-b2383ee887c3');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-472b545a-3d85-4248-8de2-1f346816d4b1\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-472b545a-3d85-4248-8de2-1f346816d4b1')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-472b545a-3d85-4248-8de2-1f346816d4b1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "year_groups = data.groupby('Year')\n",
        "data_2018 = year_groups.get_group(2018)\n",
        "data_2019 = year_groups.get_group(2019)\n",
        "data_2020 = year_groups.get_group(2020)\n",
        "data_2020.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "jXDTpPqkKeNq",
        "outputId": "28cf4541-bf9e-4a2d-b62f-3b9fd2f5e034"
      },
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  Tweet ID         Username  \\\n",
              "59475  1217959618174967815    dauriachrista   \n",
              "59476  1217959534947377158        xokaylaaa   \n",
              "59477  1217959496833695744  Micwritermcleod   \n",
              "59478  1217959392273993728  RoscoeMcGillic1   \n",
              "59479  1217959316948316160  UtahCleanEnergy   \n",
              "\n",
              "                                                 Content  \\\n",
              "59475  @AnnaPerssonDR Climate Change is very, serious...   \n",
              "59476  Tom Steyer seems like a great guy, but his top...   \n",
              "59477  @SkyNews Climate change is normal. The hysteri...   \n",
              "59478  @CharlieDaniels Your neighbor, Al Gore, was an...   \n",
              "59479  We encourage read Rep. @StephenHandyUT in the ...   \n",
              "\n",
              "                      Created At                User Location  \\\n",
              "59475  2020-01-16 23:59:36+00:00                Henrietta, NY   \n",
              "59476  2020-01-16 23:59:16+00:00  Hilton Head Island, SC, USA   \n",
              "59477  2020-01-16 23:59:07+00:00                Maryland, USA   \n",
              "59478  2020-01-16 23:58:42+00:00                Nashville, TN   \n",
              "59479  2020-01-16 23:58:24+00:00                         Utah   \n",
              "\n",
              "      Filtered Location    Label  Confidence  SentimentScore  \\\n",
              "59475          New York  LABEL_1    0.852147        1.751541   \n",
              "59476    South Carolina  LABEL_1    0.900721        2.205264   \n",
              "59477          Maryland  LABEL_0    0.892076       -2.112127   \n",
              "59478         Tennessee  LABEL_1    0.868285        1.885878   \n",
              "59479              Utah  LABEL_1    0.995574        5.415805   \n",
              "\n",
              "                                          Logits Month_Year  Year    Month  \n",
              "59475   [-0.765012264251709, 0.9865289330482483]    01/2020  2020  January  \n",
              "59476  [-0.9609189629554749, 1.2443453073501587]    01/2020  2020  January  \n",
              "59477    [1.184826135635376, -0.927301287651062]    01/2020  2020  January  \n",
              "59478  [-0.8685668110847473, 1.0173112154006958]    01/2020  2020  January  \n",
              "59479    [-2.542006492614746, 2.873798131942749]    01/2020  2020  January  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3c925b25-fd01-4c17-8302-66e238042494\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Tweet ID</th>\n",
              "      <th>Username</th>\n",
              "      <th>Content</th>\n",
              "      <th>Created At</th>\n",
              "      <th>User Location</th>\n",
              "      <th>Filtered Location</th>\n",
              "      <th>Label</th>\n",
              "      <th>Confidence</th>\n",
              "      <th>SentimentScore</th>\n",
              "      <th>Logits</th>\n",
              "      <th>Month_Year</th>\n",
              "      <th>Year</th>\n",
              "      <th>Month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>59475</th>\n",
              "      <td>1217959618174967815</td>\n",
              "      <td>dauriachrista</td>\n",
              "      <td>@AnnaPerssonDR Climate Change is very, serious...</td>\n",
              "      <td>2020-01-16 23:59:36+00:00</td>\n",
              "      <td>Henrietta, NY</td>\n",
              "      <td>New York</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.852147</td>\n",
              "      <td>1.751541</td>\n",
              "      <td>[-0.765012264251709, 0.9865289330482483]</td>\n",
              "      <td>01/2020</td>\n",
              "      <td>2020</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59476</th>\n",
              "      <td>1217959534947377158</td>\n",
              "      <td>xokaylaaa</td>\n",
              "      <td>Tom Steyer seems like a great guy, but his top...</td>\n",
              "      <td>2020-01-16 23:59:16+00:00</td>\n",
              "      <td>Hilton Head Island, SC, USA</td>\n",
              "      <td>South Carolina</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.900721</td>\n",
              "      <td>2.205264</td>\n",
              "      <td>[-0.9609189629554749, 1.2443453073501587]</td>\n",
              "      <td>01/2020</td>\n",
              "      <td>2020</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59477</th>\n",
              "      <td>1217959496833695744</td>\n",
              "      <td>Micwritermcleod</td>\n",
              "      <td>@SkyNews Climate change is normal. The hysteri...</td>\n",
              "      <td>2020-01-16 23:59:07+00:00</td>\n",
              "      <td>Maryland, USA</td>\n",
              "      <td>Maryland</td>\n",
              "      <td>LABEL_0</td>\n",
              "      <td>0.892076</td>\n",
              "      <td>-2.112127</td>\n",
              "      <td>[1.184826135635376, -0.927301287651062]</td>\n",
              "      <td>01/2020</td>\n",
              "      <td>2020</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59478</th>\n",
              "      <td>1217959392273993728</td>\n",
              "      <td>RoscoeMcGillic1</td>\n",
              "      <td>@CharlieDaniels Your neighbor, Al Gore, was an...</td>\n",
              "      <td>2020-01-16 23:58:42+00:00</td>\n",
              "      <td>Nashville, TN</td>\n",
              "      <td>Tennessee</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.868285</td>\n",
              "      <td>1.885878</td>\n",
              "      <td>[-0.8685668110847473, 1.0173112154006958]</td>\n",
              "      <td>01/2020</td>\n",
              "      <td>2020</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59479</th>\n",
              "      <td>1217959316948316160</td>\n",
              "      <td>UtahCleanEnergy</td>\n",
              "      <td>We encourage read Rep. @StephenHandyUT in the ...</td>\n",
              "      <td>2020-01-16 23:58:24+00:00</td>\n",
              "      <td>Utah</td>\n",
              "      <td>Utah</td>\n",
              "      <td>LABEL_1</td>\n",
              "      <td>0.995574</td>\n",
              "      <td>5.415805</td>\n",
              "      <td>[-2.542006492614746, 2.873798131942749]</td>\n",
              "      <td>01/2020</td>\n",
              "      <td>2020</td>\n",
              "      <td>January</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3c925b25-fd01-4c17-8302-66e238042494')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-3c925b25-fd01-4c17-8302-66e238042494 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3c925b25-fd01-4c17-8302-66e238042494');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-b23407e9-d8d9-47f5-9c81-d8ba911f2180\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b23407e9-d8d9-47f5-9c81-d8ba911f2180')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b23407e9-d8d9-47f5-9c81-d8ba911f2180 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set_theme(style='whitegrid')\n",
        "# 2018 data\n",
        "plt.figure(figsize=(12.5,6))\n",
        "sns.lineplot(data=data_2018, x='Month', y='SentimentScore', color='skyblue', marker='o')\n",
        "plt.title('2018-usa-data', size=20)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "mSsftKOFpZ2V",
        "outputId": "7c073f97-28f5-445a-e6d5-9daf0a39b8eb"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1250x600 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 2019 data\n",
        "plt.figure(figsize=(12.5,6))\n",
        "sns.lineplot(data=data_2019, x='Month', y='SentimentScore', color='plum', marker='o')\n",
        "plt.title('2019-usa-data', size=20)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "sPuYwuowONxc",
        "outputId": "3fa54968-7bd0-4da3-8142-69aa71095f89"
      },
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1250x600 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 2020 data\n",
        "plt.figure(figsize=(12.5,6))\n",
        "sns.lineplot(data=data_2020, x='Month', y='SentimentScore', color='mediumseagreen', marker='o')\n",
        "plt.title('2020-usa-data', size=20)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "7C8TZMcCOOQu",
        "outputId": "80c8a04a-3c47-4226-f58b-75fa80b35b4f"
      },
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1250x600 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}