Data cleaning is so necessary. `build.yml` already supports a limited set of feature (through pandas). In addition to custom data transformations, any "out of the box" cleaning functions you'd like? In the spirit of dplyr? We've looked at e.g. scikit feature for normalization, 1-of-n encoding, etc.
Re:Show HN: Quilt – manage data like code
by zitterbewegung on Friday July 14, 2017 @06:26PM
(#14773701)
How about deduplication. Also table / dictionary lookup . And string replacement and regex replacement .
Got it. If you'd like me to ping you once we have custom build hooks: aneesh at quiltdata dot io. Have you tried Luigi or Bonobo for data cleaning?
Re:Show HN: Quilt – manage data like code
by zitterbewegung on Saturday July 15, 2017 @12:49PM
(#14777568)
No I haven't I think I just did it myself I'll look into that .
Re:Show HN: Quilt – manage data like code
by kevinemoore on Friday July 14, 2017 @01:51PM
(#14771738)
We've been thinking of making a Python build file to make it easier add richer transformations than the simple file->DataFrame that runs by default. We'd love suggestions and input on the types of transformations that would be most useful.
On your front page you should have the owner/dataset name instead of just the dataset name so I wouldn't have to click through to find the owner name.