You have a dataframe, df, with 2 columns, x and y.  You want

to create a bar chart of the sorted values of y vs. the dataframe index.  Which of the following will correctly handle the sorting and plotting?

The following is a portion of a column of people's ages from a data file:

1, 55, 44, 20, 60, 23, 550, 42, 25, 19, 17, 75, 82, 35

This is an example of data that violates:

Which one or more of the following regex patterns will correctly capture the email address ([email protected]) from the line:

From: Your Professor <[email protected]>

When looking at line and bar charts of data vs the index, we are looking for which one or more of the following:

Which one or more of the following are standard methods for detecting outliers?

Given myDict = {"a": {'a1': 1, 'a2': 2, 'a3': 3},

In the following loop

x contains:

Given d = [[1, 2, 3], [3, 5, 6, 8], [2, 5, 9]]

The results from the loop

will be

1

A python list can contain any type of data including objects, lists, scalars, dictionaries, sets,....

Which one or more of the following are affected by outliers?

You have a dataframe with this sequence of numbers in a column with some NaN's:

2, 4, 6, NaN, 10, 12, NaN, NaN, 18, 20, 22

The best method for replacing the NaN's with numbers is: