Context Before joining the federal executive administration, new government appointees must submit, amongst other things, detailed information regarding their finances and previous job history. Such disclosure rules are in place in order to prevent conflicts of interest, and are a fundamental part of the work done by government ethics commissions. This dataset is a condensed collection of information recovered from these forms for a selection of top Trump administration appointees. Content This dataset is split into five separate `CSV` files: * `names_and_job_titles.csv` -- The names and job titles of appointees. Not all appointees are included in this dataset. * `jobs_before_joining_admin.csv` -- Positions held by administration members immediately prior to their joining the federal government. * `clients_before_joining_admin.csv` -- Former appointee clients before joining the federal government. * `income_sources_and_assets.csv` -- All acknowledged and disclosed income sources and assets. The most important file. * `debts.csv` -- Known appointee debt obligations. This record is incomplete. * `employee_agreements.csv` -- Agreements that the appointee made as part of the conditions of their entering employment with the federal government. Acknowledgements ProPublica, The New York Times, the Associated Press, and others [pooled their resources](https://www.propublica.org/article/white-house-wouldnt-post-trump-staffers-financial-disclosures) to collect and condense disclosure forms for many prominent members of the Trump administration. These were in turn collected into a [public spreadsheet](https://docs.google.com/spreadsheets/d/1R5AOpTBa6kro2qbSRa7kUD-Gg2FKD7v6vc2EJS7Dooo/). This dataset is a further condensation of this work. Inspiration What can you discover about the finances and potential conflicts of interest of members of the Trump administration by looking at the raw government record?