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import streamlit as st |
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import pandas as pd |
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from datasets import load_dataset |
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@st.cache_data |
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def cache_load_dataset(): |
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dataset = load_dataset("kraina/airbnb", "all") |
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return dataset |
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dataset = cache_load_dataset() |
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data = pd.DataFrame(dataset['train']).dropna() |
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data['lon'] = data['lng'] |
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st.title("Airbnb Dataset") |
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st.subheader("https://huggingface.co/datasets/kraina/airbnb") |
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st.write('Based on: https://doi.org/10.1016/j.tourman.2021.104319') |
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st.write(f'Cities: {len(data["city"].unique())}') |
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st.write(f'Total listings: {len(data)}') |
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st.map(data) |
