Visualize hero.describe with plots

[mk2510]

This new function in the visualization module allows users to easily visualize the describe function. We belive, that this will be often use, to display the key characteristics of the DataFrame. 🥉

This function simply calls the describe functions and then with plotly those plots will be generated and displayed in a new browser window. As it is a lot of code to display them, we belive, that it will be quite an enrichment to the library 🏑

Note: travis/setup changed because of #171 . This is branched straight from PR #168 which is why it has so many lines changed 🥡 .

This is a short colab demo of the new function 🤖

[jbesomi]

That's beautiful! 😍

• What does it happen if you run visualize_describe on an empty DF? (we should test that behavior for all heroes functions ...)
• (opinionable comment) What if we have all graphs in a single column? That's might be better for visualization on narrow displays

[henrifroese]

What does it happen if you run visualize_describe on an empty DF? (we should test that behavior for all heroes functions ...)

Currently we get an error but that's just because of the default arguments (see below). Agree we should test that behavior for all hero functions, probably in a separate PR in the future.

(opinionable comment) What if we have all graphs in a single column? That's might be better for visualization on narrow displays

We tried it out and think it looks good as-is on 13 inch screens (which is the standard "small" laptop size).

From your review

labels_col_name="topic" not sure it make sense to have as default value "topic". Moreover, there might be multiple non-text columns. ...

Yes, the default arguments really make no sense, we just used them for testing purposes and forgot to remove them 🤦 🤦‍♂️ 🤦‍♀️

Additionally, not sure what you mean / how we would integrate several text columns? We thought that there are two main scenarios:

1. User has text in a column -> he uses our function without the labels stuff, everything's great

2. User has text in a column and labels in a column (e.g. to train a classifier) -> he uses our function with the labels stuff, everything's great

Additionally just noticed that there isn't a docstring (totally forgot this). Will convert this to draft and address all concerns + add docstring. Will update here and post screenshots when it's done.

[henrifroese]

Now changed the function signature to be in line with hero.describe (which really makes sense as this is a visualization of hero.describe). Additionally, default arguments are changed.

We noticed that this function cannot handle empty input because of hero.tokenize cannot handle empty input. This is probably a low-priority bug as of course empty input does not make any sense whatsoever.

Note: the merge conflicts should be resolved when we're farther along the merge checklist; we'll revisit this

[mk2510]

we just went through this PR again and it is ready to be reviewed / to be merged 🔢 🧶