Question $18$

How many houses have not been remodeled, but were over the averege age of home remodels when it was sold?

Hints:

Create a new DataFrame with the opposite filter from Question $10,$ the remodeled age equals $0,$ meaning it has never been remodeled.

Add a new column to represent the age of the house when lit was sold by subtracting the YearBustt column from the Vrsold column.

Filter the DataFrame where the age of the house when it was sold is greater than the value from Question $11.$

Print out the resulting number of rows

Answer here

Question $14$

Write the rows of all the houses in the previous question to a CSV file named "needs$\_$a$\_$remodel.csV$".$

Hints:

pd$.$Datarrame,to csv$(),$ method

$[93]$ # Answer here

$\backslash$table$[[$a$5$s$.$abds in $2>(],[],[],[],[],[]$

$$

$$