How to determine the severity of skewness(nanskew) such as highly skewed,moderately skewed,normally distributed,etc by interpreting the returned numerical values from the .skew() function.
#### Code Sample, a copy-pastable example if possible

```python
# Your code here

```
#### Problem description

The given documentation available below doesn't provide any specifics about the skewness results interpretation.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.skew.html

#### Expected Output

#### Output of ``pd.show_versions()``

<details>

[paste the output of ``pd.show_versions()`` here below this line]

</details>
