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import os |
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import shutil |
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import gdown |
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import pandas as pd |
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import plotly.express as px |
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import streamlit as st |
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def get_data(): |
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file_id_1 = "1rsxDntx9CRSyDMy_fLHEI5Np4lB153sa" |
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downloaded_file_1 = "listings.pkl" |
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gdown.download(id=file_id_1, output=downloaded_file_1) |
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return pd.read_pickle("listings.pkl") |
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df = get_data() |
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st.title("The Airbnb dataset of Amsterdam") |
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st.markdown( |
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"The dataset contains slight modifications with regards to the original for illustrative purposes" |
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) |
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st.dataframe(df.head(100)) |
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st.text("The dataset was retrieved using the following code:") |
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st.code( |
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""" |
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@st.cache |
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def get_data(): |
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# Download file from Google Drive |
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# This file is based on data from: http://insideairbnb.com/get-the-data/ |
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file_id_1 = "1f6o9IeaieH_xXyghjnREfl2dC44pIUc4" |
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downloaded_file_1 = "listings.pkl" |
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gdown.download(id=file_id_1, output=downloaded_file_1) |
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# Read a Python Pickle file |
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return pd.read_pickle("listings.pkl") |
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""", |
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language="python", |
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) |
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st.markdown( |
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"*Let's take a closer look at the supposed relation between **price_in_dollar** and **review_scores_rating**.*" |
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) |
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st.plotly_chart( |
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px.scatter( |
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df, |
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x="price_in_dollar", |
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y="review_scores_rating", |
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trendline="ols", |
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trendline_color_override="orange", |
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) |
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) |
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