Which of the following statements is false?

Question $19$ options:

When you call describe on a DataFrame containing both numeric and non$-$numeric columns, describe calculates the statistics below only for the numeric columns$$in the Titanic dataset, for example, just the age column $($the dataset $\text{'}$s only numeric column$)$:

$$ age

count $1046\mathrm{.}00$

mean $29\mathrm{.}88$

std $14\mathrm{.}41$

min $0\mathrm{.}17$

$25\%21\mathrm{.}00$

$50\%28\mathrm{.}00$

$75\%39\mathrm{.}00$

max $80\mathrm{.}00$

For non$-$numeric data, describe displays different descriptive statistics, such as unique $($the number of unique values in the result$),$ top $($the most frequently occurring value in the result$)$ and freq $($the number of occurrences of the top value$).$

When performing calculations, Pandas ignores missing data $($NaN$)$ by default.

A DataFrame's hist method automatically analyzes each column's data, and produces a corresponding histogram for each.