scripts and data visualization for visualizing documents about cash transfers by type and effect.
this is the original data source supplied by sidhya and gary
2. data/document_categorization.ipynb and data_structure.ipynb > data/data_modified.csv and data/data.json
Recoding of document categories into dummy variables is done through document_categorization.ipynb, resulting in data/data2_modified.csv
Breakout of documents into unique rows possessing only one effect and structuring of data into json format is done in data_structure.ipynb, resulting in data/data_modified.csv and data/data.json
d3.js force layout that intakes the data/data.json file with two levels of parent nodes: 1) by category and 2) by effect.
d3.js force layout that filters data by category on d.cat_recode (cash transfers, tax credits, UBI) and intakes the data/data.json file with one level of parent nodes (effects)
pages that can be used to embed corresponding visualizations in iframes
native design file and image files for the icons used in the visualization