Getting all the statistics

You can retrieve all major central tendency, dispersion, and shape statistics of a distribution at once with the pandas .describe() method. The default value of its optional percentiles argument corresponds with quartiles, but you can supply your own list of percentiles, as instead:

DataFrame.describe(percentiles=[.25, .5, .75])

The outputs of .describe() also include the total number of entries in the given series (which can be calculated with .count()), minimum value in the series (which can be calculated with .min()), and maximum value in the series (which can be calculated with .max()).

pandas as pd and numpy as np have been imported for you, and the income DataFrame from the previous exercise is available in your workspace.

This exercise will test your knowledge of the metrics and functions covered so far. Which of the following statements regarding the data in the 'Income per Capita' column in income is FALSE?

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The maximum income per capita belongs to Qatar.

The difference between the median of the data and India's per capita income, rounded to the nearest tenth, is 5516.4.

The eighth decile rounded to the nearest tenth is 21054.2.

The DataFrame holds income data for 184 countries.

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Getting all the statistics

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