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Exercise

Quartiles, quantiles, and quintiles

Quantiles are a great way of summarizing numerical data since they can be used to measure center and spread, as well as to get a sense of where a data point stands in relation to the rest of the data set. For example, you might want to give a discount to the 10% most active users on a website.

In this exercise, you'll calculate quartiles, quintiles, and deciles, which split up a dataset into 4, 5, and 10 pieces, respectively.

Both pandas as pd and numpy as np are loaded and food_consumption is available.

Instructions 1/3
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  • 1
    • Calculate the quartiles of the co2_emission column of food_consumption.
  • 2
    • Calculate the six quantiles that split up the data into 5 pieces (quintiles) of the co2_emission column of food_consumption.
  • 3
    • Calculate the eleven quantiles of co2_emission that split up the data into ten pieces (deciles).
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