Which of the following statements is false?

When you call describe on a DataFrame containing both numeric and nonnumeric columns, describe calculates the statistics below only for the numeric columns$-$in the Titanic dataset, for example, just the age column:

$\backslash$table$[[,$age$],[$count$,1046\mathrm{.}00],[$mean$,29\mathrm{.}88],[$std$,14\mathrm{.}41],[$min$,0\mathrm{.}17],[25\%,21\mathrm{.}00],[50\%,28\mathrm{.}00],[75\%,39\mathrm{.}00],[max,80\mathrm{.}00]]$

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

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$).$

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