Exercise

# Identifying features for standardization

In this section, you'll investigate the variance of columns in the UFO dataset to determine which features should be standardized. After taking a look at the variances of the `seconds`

and `minutes`

column, you'll see that the variance of the `seconds`

column is extremely high. Because `seconds`

and `minutes`

are related to each other (an issue we'll deal with when we select features for modeling), let's log normlize the `seconds`

column.

Instructions

**100 XP**

- Use the
`var()`

method on the`seconds`

and`minutes`

columns to check the variance. Notice how high the variance is on the`seconds`

column. - Using
`np.log()`

perform log normalization on the`seconds`

column, transforming it into a new column named`seconds_log`

. - Print out the variance of the
`seconds_log`

column.