Create a variable named df$\_$bank$\_$row$\_$count and assign the number of rows $($aka number of observations$)$ in the bank data $($

df

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$$

bank$).$ Create a variable named

df

$$

$$

bank$\_$column$\_$count and assign the number of columns $($aka number of variables$)$ in the bank data $($

df

$$

$$

bank$).$ Create a variable named df$\_$movies$\_$row$\_$count and assign the number of rows $($aka number of observations$)$ in the movies data $($

df

$$

$$

movies$).$ Create a variable named df$\_$movies$\_$column$\_$count and assign the number of columns $($aka number of variables$)$ in the movies data $($df$\_$movies$).$ Note: Your code goes in the below cell. Do not hard code it $($do not look up the excel file and count the number of rows and observations manually$).$ Use pandas operations$/$functions$.[10]"\text{'}$Your code goes in this cell."$\text{'}[11]\backslash$# Run this cell. It will display the results of your code for two cases $\backslash$# Do not change this cell. print $($df$\_$bank$\_$row$\_$count$)$ print $($df$\_$bank$\_$column$\_$count$)$ print $($df$\_$movies$\_$row$\_$count$)$ print $($df movies$\_$column count$)$ Test case for question $1-\backslash$# Run this cell. $\backslash$# This is a test case $\backslash$# It will tell you whether or not you pass the question $\backslash$# Do not change this cell. try: if

$(($df

$\_$bank$\_$row$\_$count

$==11162)$&$($df

$\_$bank$\_$column$\_$count

$==17)$&$($df

movies$\_$row$\_$count

$==1000)$&$($df

$\_$movies$\_$column$\_$count

$==12))$

: score$[\text{'}$question $1\text{'}]=$ 'pass' else: score$[\text{'}$question $1\text{'}]=$ 'fail' except: score$[\text{'}$question $1\text{'}]=$ 'fail' score