Bart Data Visualization

Chris Dong, Chengcheng Xu

Web page

Code

All of the code is in the root directory.

EDA.ipynb: Bar chart showing the big picture and overview of the data.

• plotly (Python)

chord_diagram.R: Chord diagram (the preprocessing is under chord_plot.ipynb and reorder.xlsx)

• chorddiag (R package)

design_2_heatmap.ipynb: Heatmap by hour of day and day of week

• plotly (Python)

index.html: website page
legend_plot.R: creating the legend for Design 1 with R and specifying percentiles from ridership data preprocessing_bart_{1,2,3}.ipynb: Preparing and cleaning the raw data
reorder.xlsx: Simple Excel functions to reorder stations, create dictionary mappings and clusters
small_multiple.ipynb: Line chart for every possible station

• plotly (Python)

visualization_circle_plot.ipynb: Video by day of week, hour, year

• Folium (Python)

Data

The raw data can be found under /data_source.
Cleaned up data can be found under /data

Slides

Beta Presentation
Alpha Presentation

Miscellaneous

design1/ consists of all the individual video files. JavaScript is used to control which videos get played.
templates/ consists of individual HTML files that index.html will refer to.