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do #2890 first. It is essential to remember, our automated tests can only help confirm that the CODE itself is functioning the way we expected. It does NOT ensure scientific or mathematic accuracy. Before writing extensive tests, we need to manually confirm that our calculations / data transformations are accurate. The following checks should be documented in the description of a PR
Pick a random sample of data points, attempting to get something from every demographic breakdown and from every geographic breakdown. Also ensure data points from any known edge cases are checked
CHECK 100K / PCT RATES: If you are obtaining rates directly from the source data, you can simply confirm the data is passing through from the source to the BigQuery and further exported into the Bucket accurately. Otherwise if calculations are happening in the datasource file, you should "show your work" and recreate those calculations showing the source numerator and the source denominator
Repeat the above manual calculations and documentation for all displayed metrics: PCT_SHARE, PCT_RELATIVE_INEQUITY, POP_PCT_SHARE, etc.
Screenshots with both the source table and the HET BigQuery table side by side can be helpful to include in the PR documentation as well
The text was updated successfully, but these errors were encountered:
Manually Spot-Check Data
The text was updated successfully, but these errors were encountered: