Creating data frames
Feature engineering
Summary

## Instruction

Perfect! Often, you'll need to create and overwrite column values based on conditions.

For example, let's say you want to create a column named price_category using the following conditions:

• The value is equal to "low" if price is less than or equal to 90 000 EUR.
• The value is equal to "medium" if price is greater than 90 000 EUR and less than or equal to 120 000 EUR.
• The value is equal to "high" if price is greater than 120 000 EUR.

Over the next few exercises, we'll guide you through creating this column.

## Exercise

To start, let's create a new column named price_category in the houses data frame. Assign a character value of "0" to that column. This step creates the new column price_category. We'll modify it in the next exercise.

### Stuck? Here's a hint!

You should write:

houses\$price_category <- "0"