Added histograms and boxplots for outlier variables

[m-visintini]

Please test it and let me know the outcome!
One thing to bear in mind is that the rendering of graphs without outliers only works if the correct ID variable is set up in the Setup tab. This is a bit prone to error at the moment. As soon as I will be done with issue #24 this should not be a problem anymore, since the id variable will be enforced globally.

[mariarrt94]

I really like this feature, especially the boxplots. They are super useful for identifying group outliers, and I think they add a lot of value.

Observations

• For example, when looking at the income variable grouped, I noticed an outlier in inc_1.
• However, when comparing the histogram with and without outliers, both look the same. The axis in the "without outliers" view still shows values up to 10,000,000, which is the identified outlier.
  

Suggestions

• I am unsure whether we should remove these outliers altogether.
• Winsorization might be a great alternative. It could be helpful to show:
  1. The histogram of inc_01.
  2. The histogram with winsorized inc_01 to see the impact on the distribution.
  3. instead of the filtered_hfc we would create a dataset with the winsorized variable maybe at 95%, let me know if you want to discuss this.

This is a great addition to the tool—thanks for all the work on it!

[m-visintini]

good idea! Will fix.