Exercise

# Discretization of a certain variable

In order to make predictor insight graphs for continuous variables, you first need to discretize them. In Python, you can discretize pandas columns using the `qcut`

method.

To check whether the variable was nicely discretized, you can verify that the bins have equal size using the `groupby`

method:

```
print(basetable.groupby("discretized_variable").size()
```

Instructions

**100 XP**

- Use the method
`qcut`

to discretize the variable`time_since_last_donation`

in 10 groups. Assing this variable to a new column called "bins_recency". - Use the method
`groupby`

to verify that the bins have about equal size.