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HRF Asylum DS Notebooks

Description

This folder contains .ipynb notebooks and .py scripts exploring various visualizations.

Notebooks

Filename Created Description Dependencies Data File(s)
CircuitLevelChoropleth.ipynb Labs 34 Shows how to create customized GeoJSON file, grouping districts into circuits, and using Plotly to create a choropleth. plotly (4.14.3 or 4.5.0 works), geopandas, geojson, shapely US_District_Court_Jurisdictions.geojson
CorrelationMatrixHeatmap.ipynb Labs 34 Explores the idea of a "correlation matrix heatmap" that is frequently used to show the strength of relationships between quantititave variables. A similar idea for categorical data would show the strength of the association between categorical variables. dython, scipy KL_Lambda_Report_2.csv
feature_heatmap.ipynb
judge_heat_matrix.ipynb
Labs32_visualization.ipynb
map_vis_test.ipynb

Scripts

Filename Created Description Dependencies
brainstorm_visuals.py
par_cat.py

Data

  • test_data_v4.csv contains ? ()
  • KL_Lambda_Report_2.csv contains case data gathered in Labs 33 & 34
  • US_District_Court_Jurisdictions.geojson contains boundaries for 94 district courts for making choropleths

Contribute

Please contribute to this document so that future team members can quickly gain insight into what work has been done and which avenues have been explored already. You can help by

  • filling out information about a file after you review its contents,
  • adding and filling out a new row in the appropriate table every time you add a new notebook or script.