Jinglin Peng

Hi @borisRa , thanks for the suggestion! yeah we do plan to add more support for the scenario as you mentioned. May I know what's the meaning of the line...

Hi @omerk1 , good point! Thanks for this comment. To confirm, you're pointing to the layout of `plot_diff([df1, df2])` (rather than `plot_diff([df1, df2], x)`), right?

Hi @omerk1 , thanks for the comment. Yes I agree with your idea. Will fix this issue in the next release.

Hi @detygon , thanks for this great suggestion! For now the computed intermediates is in a form of dict, which I think part of it could be transformed to JSON....

Hi @floidgilbert , thanks for the follow up and explanation. Currently we just divide the range by number of bins, so it causes this issue. Will work on this and...

Hi @vitamins and @Garett-MacGowan , thanks for the bug report. We currently mainly focus on Jupyter Notebook environment. The terminal and Windows Powershell has not been tested. We will try...

Hi @vitamins , @Garett-MacGowan and @ssenathi . Thanks for reporting! We have fixed the encoding issue in Windows and it will be released in the next version. For now, you...

Hi @harshasridhar , Thank you very much for your interest of contributing to DataPrep! We have a wiki to describe the developing process: [https://github.com/sfu-db/dataprep/wiki](https://github.com/sfu-db/dataprep/wiki). To start, you could first create...

Hi @zha76 , thanks for your comment! We do plan to add more support of three variables analysis. For now it's in an early stage and only time_series-num-cat type is...

Hi @tomgallagher , you could try the `display` parameter to control what to show/compute. E.g., `compute(df, display = ["Stats"])` to compute only stats. Or if you want to disable something...