Box plots in Pandas - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a box plot used for in data analysis?

A box plot is used to show the distribution of data, highlighting the median, quartiles, and potential outliers in a simple visual form.

beginner

What does the box in a box plot represent?

The box represents the interquartile range (IQR), which contains the middle 50% of the data between the first quartile (Q1) and the third quartile (Q3).

beginner

In pandas, which method is used to create a box plot from a DataFrame?

The method is DataFrame.boxplot(). It creates a box plot for one or more columns of the DataFrame.

intermediate

What do the whiskers in a box plot show?

Whiskers show the range of the data outside the interquartile range, typically up to 1.5 times the IQR from the quartiles. Points beyond whiskers are outliers.

beginner

How can you identify outliers in a box plot?

Outliers appear as individual points beyond the whiskers, which extend to 1.5 times the IQR from the quartiles.

What does the line inside the box of a box plot represent?

A Mean of the data

B Median of the data

C Maximum value

D Minimum value

The line inside the box shows the median, which is the middle value of the data.

Which pandas method creates a box plot from a DataFrame?

A DataFrame.plot()

B DataFrame.hist()

C DataFrame.boxplot()

D DataFrame.scatter()

DataFrame.boxplot() is the method used to create box plots.

What part of the box plot shows the middle 50% of the data?

A Box

B Outliers

C Whiskers

D Median line

The box covers the interquartile range (IQR), which is the middle 50% of the data.

What do points outside the whiskers usually indicate?

A Normal values

B Median values

C Quartiles

D Outliers

Points outside the whiskers are considered outliers.

If the whiskers extend to 1.5 times the IQR, what does IQR stand for?

A Interquartile Range

B Internal Quality Rating

C Interquartile Ratio

D Interval Quantile Range

IQR means Interquartile Range, the range between Q1 and Q3.

Explain what a box plot shows and how it helps understand data distribution.

Think about the parts of the box plot and what each part tells you about the data.

Describe how to create a box plot using pandas and what insights you can get from it.

Consider the pandas method and what the plot reveals about your data.