This Streamlit app provides visualizations and comparisons of Bay Area bike share data using Google BigQuery as the data source.
- Streamlit - https://umangptl-cmpe-255-a1.streamlit.app/
- Visualize bike share data on interactive maps.
- Explore different time slices and rush hours using sliders.
- View hexagon maps and ride distribution histograms.
- Compare bike trips over different time frames, including per date, per month, per week, and per day.
- Visualize the number of rides using bar charts.
- Visualize the top 15 start stations with the most trip counts.
- Select and compare multiple start stations to see the number of trips.
- The app uses Google BigQuery as the data source, specifically the bigquery-public-data.san_francisco_bikeshare data
- Pandas
- Streamlit
- Pydeck
- Numpy
- Altair
- Google cloud BigQuery
- Google Auth