Now that we've go the data we need, let's get a sense for how much missing data there is in this dataset by determining how many null$-$ containing rows there are in survey. Assign this value to the variable null$\_$rows $.$ Now that we've go the data we need, let's get a sense for how much missing data there is in this dataset by determining how many nullcontaining rows there are in survey. Assign this value to the variable null$\_$rows $.$

$```$

$[89]$: # YOUR CODE HERE

survey $=$ survey$[$pd$.$isnull$($survey$).$any$($axis$=1)]$

null$\_$rows $=$ survey

$```$

$[90]$:

$```$

# Do not edit this cell. This cell is for testing purposes

### BEGIN TESTS

assert null$\_$rows $==217$

### END TESTS

$```$

$```$

ValueError Traceback $($most recent call last$)$

$/$tmp$/$ipykernel$\_422/4027023900.$py in $?()$

l # Do not edit this cell. This cell is for testing purposes

$2$ ### BEGIN TESTS

$---->3$ assert null$\_$rows $==217$

$4$ ### END TESTS

$/$opt$/$conda$/$lib$/$python$3\mathrm{.}11/$site$-$packages$/$pandas$/$core$/$generic$.$py in $?($self$)$

$1575$ @final

$1576$ def $\_\_$nonzero$\_\_($self$)->$ NoReturn:

$->1577\_$ raise ValueError$($

$1578$ f$"$The truth value of a $\{$type$($self$).\_\_$name$\_\_\}$ is ambiguous. $"$

$1579$ "Use a$.$empty, a$.$bool$(),$ a$.$item$(),$ a$.$any$()$ or a$.$all$()."$

$1580)$

ValueError: The truth value of a DataFrame is ambiguous. Use a$.$empty, a$.$bool$(),$ a$.$item$(),$ a$.$any$()$ or a$.$all$().$

$```$