Report missing values #14
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We report the count and percentage of missing values for each column. If the percentage of missing values for a column is 100%, then the column is said to be empty. Closes #13
iaindillingham
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May 18, 2022
Comment on lines
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| @pytest.fixture | ||
| def dataframe(): | ||
| return pandas.DataFrame( | ||
| { | ||
| "patient_id": [1], | ||
| "is_registered": [True], | ||
| "is_dead": [False], | ||
| "stp_code": ["STP0"], | ||
| "has_sbp_event": [True], | ||
| } | ||
| ) | ||
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I'm being a bit cheeky here and not putting this in a separate commit. Hopefully that's okay 🙂 We stopped using the dataframe fixture several commits ago.
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We report the count and percentage of missing values for each column. If the percentage of missing values for a column is 100%, then the column is said to be empty.
Closes #13