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Analysis of daily contributions to 2020 presidential candidates, as of 2019 Q2

This repository contains data and code supporting a BuzzFeed News article examining donor frequency. Published July 17, 2019. See below for details.

Data

All data in this repository comes from the campaigns' committee filings to the Federal Election Commission (FEC), with assistance from ProPublica's Campaign Finance API.

Methodology

Linking donors

The Federal Election Commission filings do not contain any truly-unique identifiers for campaign contributors. So, in order identify donors who have given to multiple campaigns, BuzzFeed News constructed a donor_id, created from the following fields:

There are some limitations to this approach:

For these reasons, the results of the analysis should be interpreted as approximations.

The $200 threshold

The Federal Election Commission does not require campaigns to itemize contributions from donors who have given $200 or less during a given campaign cycle. Some campaign committees have included such donors. Some democratic campaign committees seem to have done this because because they received overly large donations and then refunded a portion. For the sake of equal comparison, BuzzFeed News excluded contributions from donors whose aggregate was listed as $200 or less.

Contribution totals above legal limit

The FEC prohibits individual donors from giving more than $2,800 to any single committee. Even so, the data in the filings appear to indicate that some donors have given more than that amount. In some cases, this may be because the refunds have not yet been processed, or are declared elsewhere. Above-legal contributions have no effect on the analyses, which focus on the act of giving rather than how much money the campaigns have raised.

Analysis

The notebooks/daily_donors.ipynb notebook contains the main analysis, written in Python. Relevant outputs can be found there, as well as in the output/ directory.

Outputs

The output/ directory contains two files that may be of interest to other journalists and researchers:

output/donors_per_day.csv is a spreadsheet containing the number of distinct donors per day, per candidate.

output/donors_per_day.png is a chart of small ultiples showing the number of distinct donors per day, per candidate.

Reproducibility

The code running the analysis is written in Python 3, and requires the following Python libraries:

If you use Pipenv, you can install all required libraries with pipenv install.

Executing the notebook in the notebooks/ directory should reproduce the findings.

Licensing

All code in this repository is available under the MIT License. Files in the data/ directory are released into the public domain. Files in the output/ directory are available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Questions / Feedback

Contact Scott Pham at scott.pham@buzzfeed.com.

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