When ProPublica and the New York times published the White House staff financial disclosure forms last week, I wanted to dig into the data myself and understand where President Trump's advisors financial interests lie.
As a first step, I wrote an R script to wrangle the PDFs that ProPublica received into columnar tables. I then used Data Studio to aggregate all of the available disclosures and visualize the data with segmentation options (e.g. male vs. female staff).
Take a look at the final product here: goo.gl/or9lj8.
