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