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  3. Importing and Managing Financial Data in Python

Exercise

List the poorest and richest countries worldwide

The values of numerical variables are numbers. They can be described by measures of central tendency, or the most typical value in a dataset, and dispersion, which represents the spread of a distribution.

In the next few exercises, you will use these statistics to explore the data in 'per_capita_income.csv', which contains the average income earned per person in a given country. The first step in analyzing aspects of the global income distribution is to inspect and familiarize yourself with the data.

pandas has been imported as pd.

Instructions

100 XP
  • Load the 'per_capita_income.csv' file into income. No additional arguments other than the file name are needed. (Note that this is a csv file.)
  • Inspect the column names and data types with .info().
  • Using .sort_values(), sort (in descending order) the income DataFrame by the column which contains the income information.
  • Display the first five rows of income using .head() and the last five rows using .tail().