kurt and skew

[reza1615]

Thank you for the nice implementation.
please in the below screenshot put them near to each other both should be the last case. they are in the same characteristic group

It would be nice to have a small information symbol in from of these metrics and have a text hover description and link to the useful documentation.

Information:

Skewness:
Measures the symmetry of the distribution.

• Fairly symmetrical: skewness is between -0.5 and 0.5
• Moderately skewed: skewness is between -1 and — 0.5 or between 0.5 and 1
• Highly skewed: skewness is less than -1 or greater than 1
  

Image source: https://en.wikipedia.org/wiki/Skewness#/media/File:Relationship_between_mean_and_median_under_different_skewness.png

kurtosis: Determines the heaviness of the distribution tails.

• Leptokurtic (more than normal dist hight) : Kurtosis > 3
• Mesokurtic (normal dist hight): (Kurtosis=3)
• Platykurtic (less than normal dist hight): (Kurtosis <3)

Image source:
https://analystprep.com/cfa-level-1-exam/quantitative-methods/kurtosis-and-skewness-types-of-distributions/

[reza1615]

2- error in the calculating skew and kurt (column 13 and 14 in the http://alphatechadmin.pythonanywhere.com/dtale/main/4)

[reza1615]

3- please also add skew and kurt in the histogram page

[aschonfeld]

Added in v1.29.0