exploratory-data-analysis

Describe the bug
data docs columns shrink to 1 character width with long query

To Reproduce
Steps to reproduce the behavior:

1. make a batch from a long query string
2. run validation
3. render result to data docs
4. See screenshot
   <img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4

Currently the X argument of CleanLearning.fit() does not seem to support non-array data.
Perhaps this is due to the sklearn function check_X_y() called inside CleanLearning, which we could replace.
Or perhaps it's due to how the cross-validation is currently being implemented.

However these are both easy to improve to rid the restriction that only array data are supported.
Seems e

Hello,

First of all, thanks for the great package.
I'm trying to compute density maps of a 3 dimensional points distribution. I understood from the documentation that a variable bandwith method was available but I couldn't figure out how to set up this option.
Additionnaly, in the case of a fixed bandwidth KDE for multidimensional data, I would have expected as in the stats_models_multivari

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Description

TypeError: _sizeof_fmt() takes 1 positional argument but 2 were given

Steps to Reproduce

df = pd.read_csv("gs://amazing-public-data/lending_club/lending_club_data.tsv", sep="\t")
dd.data_summary(df, compute_backend=

Today i add a license for this repository.