Get startedGet started for free

Counting categorical values

Recall from the previous exercise that the unemployment DataFrame contains 182 rows of country data including country_code, country_name, continent, and unemployment percentages from 2010 through 2021.

You'd now like to explore the categorical data contained in unemployment to understand the data that it contains related to each continent.

The unemployment DataFrame has been loaded for you along with pandas as pd.

This exercise is part of the course

Exploratory Data Analysis in Python

View Course

Exercise instructions

  • Use a method to count the values associated with each continent in the unemployment DataFrame.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Count the values associated with each continent in unemployment
print(____)
Edit and Run Code