Checks
How would you categorize this request. You can select multiple if not sure
Other (please describe in Issue Description)
Enhancement Description
The datacompy package compares dataframes. Here are features that would allow it to present it's report with buckaroo.
Datacompy has a report function that displays information about metadata differences between dataframes (column names in common, match percentage), and data level differences (actual rows in common, actual rows that are different).
The reports are limited to textual display. Buckaroo provides the core of a system that can do a better job of displaying this.
Summary stats are a good fit for the metadata differences. The inline differences fit with the base buckaroo usecase
Pseudo Code Implementation
Users should be able to run DatacompyBuckaroo(df1, df2, join='col_to_join') and be presented the UI
Prior Art
https://github.com/capitalone/datacompy
Checks
How would you categorize this request. You can select multiple if not sure
Other (please describe in Issue Description)
Enhancement Description
The datacompy package compares dataframes. Here are features that would allow it to present it's report with buckaroo.
Datacompy has a report function that displays information about metadata differences between dataframes (column names in common, match percentage), and data level differences (actual rows in common, actual rows that are different).
The reports are limited to textual display. Buckaroo provides the core of a system that can do a better job of displaying this.
Summary stats are a good fit for the metadata differences. The inline differences fit with the base buckaroo usecase
Pseudo Code Implementation
Users should be able to run
DatacompyBuckaroo(df1, df2, join='col_to_join')and be presented the UIPrior Art
https://github.com/capitalone/datacompy