Closed trangdata closed 4 years ago
There are a few rows in the original source that is not in the dataset (see here).
In general, I suspect a lot of other checks will be similar as well (e.g. minor floating-point differences between the dataframes). What should we do in these cases? Should we add back these rows? @weixuanfu @lacava
@weixuanfu Since we agree on adding the rows back in, could you help me do that so we can merge, please? 🙏
I will do that next week with adding an parameter (maybe called 'allow_na') in fetch_data
to control it to export dataframe with or without NAs.
I will do that next week with adding an parameter (maybe called 'allow_na') in fetch_data to control it to export dataframe with or without NAs.
I like this idea!
Work in progress.
Add metadata for
wine_quality_white
.[x] Update the information on the dataset's metadata.yaml file.
[x] Verify the source for the dataset: Check here.