CVSS (Common Vulnerability Scoring System) is a standard
measure of a vulnerability’s severity. It takes several factors into account, such as impact, temporal and environmental metrics.
For a dataset that I’m working on, this is a comparison of the CVSS3 score against the more coarse grained “*severity*” score.
We normalise the `impact`

data (originally from $[0, 3]$) as well as the `cvss3_score`

and produce a regression plot.

```
from sklearn import preprocessing
import numpy as np
scaler = preprocessing.MinMaxScaler()
scaled_data = scaler.fit_transform(data)
sns.regplot(x=scaled_data[:,0],
y=scaled_data[:,1],
x_estimator=np.mean)
ax.set(xlabel='CVSS3', ylabel='Impact')
```