Which of the following steps in data cleaning should be applied to the following dataset? There are $38,000+$ rows of data and the data will be used to estimate future housing prices$/$demand in an urban setting. $($select all that apply$)$

UnClean Data.png

Group of answer choices

Change MARRIED and CAR values to $0($NO$)$ or $1($YES$).$

Convert the REGION values into dummy variables.

Convert the REGION values into a range of values, incrementing each successive value by $1.$

Remove rows with empty INCOME values.

Estimate the missing AGE values.

Remove the columns with empty INCOME values.