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Currently, names for variables are inconsistent between the two. For example, item_id_to_variable_map.csv has a variable called "Heart Rate" while variable_ranges.csv has a variable called "Heart rate". This may not seem like much, but it is enough for clean functions and range checking functions to fail to recognize the same variable; a new column called Heart rate is created and populated solely with the impute value (i.e. the assumed normal heart rate of 86 bpm).
Because of #25, the issue is not too important in the current implementation, but it should be considered if remove_outliers_for_variables is ever run on the data.
The text was updated successfully, but these errors were encountered:
- fixed inconsistencies between ITEMID map and variable ranges (#28)
- when making indexed assignments to DataFrame, use the more proper "view" syntax (#24)
- replaced deprecated `DataFrame.from_csv` syntax with `pandas.read_csv`
- minor tweaks here and there
Currently, names for variables are inconsistent between the two. For example, item_id_to_variable_map.csv has a variable called "Heart Rate" while variable_ranges.csv has a variable called "Heart rate". This may not seem like much, but it is enough for clean functions and range checking functions to fail to recognize the same variable; a new column called Heart rate is created and populated solely with the impute value (i.e. the assumed normal heart rate of 86 bpm).
Because of #25, the issue is not too important in the current implementation, but it should be considered if remove_outliers_for_variables is ever run on the data.
The text was updated successfully, but these errors were encountered: