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When creating the RAD datafile the Student Categories metadata file dataframe is joined to the canvas-analtyics User model dataframe. This join uses the UW net id which is prone to change. This could lead to records potentially getting dropped.
We need to determine a way to join these dataframes that is not prone to data loss. Alternatively we could keep the Student Categories file more up to date.
The text was updated successfully, but these errors were encountered:
When creating the RAD datafile the Student Categories metadata file dataframe is joined to the canvas-analtyics User model dataframe. This join uses the UW net id which is prone to change. This could lead to records potentially getting dropped.
See https://github.com/uw-it-aca/canvas-analytics/blob/main/data_aggregator/dao.py#L1159
We need to determine a way to join these dataframes that is not prone to data loss. Alternatively we could keep the Student Categories file more up to date.
The text was updated successfully, but these errors were encountered: