Question: Please help with this question ASAP with a correct answer I will rate thumbs up. Python language 4. Add a column to the dataframe called

Please help with this question ASAP with a correct answer I will rate thumbs up.

Python language

4. Add a column to the dataframe called predictSpend that is 5% of salary. (Note that salary is in k$ (thousands), this should not be in k$)

5. Print out HOW MANY customers are older than 65.

Please help with this question ASAP with a correct answer I will

199 200 Male 30 199 rows x 5 columns 571: test-mall[mall["Age"]>65] 59]: test["Age" ] .count() [59]: 12 in] 199 200 Male 30 199 rows x 5 columns 571: test-mall[mall["Age"]>65] 59]: test["Age" ] .count() [59]: 12 in]

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