Outliers and shape in pandas

The file data.csv contains the length of 25 calls to a customer helpline in minutes (column hovor_min).

1. Compute q1, q3 and the interquartile range iqr.
2. Compute dolny_plot (lower fence) and horny_plot (upper fence) by the $1.5 \cdot IQR$ rule and store in pocet_odlahlych how many calls lie outside them.
3. Store the sample standard deviation in sd and the skewness of all calls in sikmost.
4. Draw a horizontal box plot.

The check compares the numbers and verifies that a plot exists. Then look at the solution to see how two long calls change the mean and the standard deviation.