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Exercise

Inspecting a DataFrame

When you get a new DataFrame to work with, the first thing you need to do is explore it and see what it contains. There are several useful methods and attributes for this.

  • .head() returns the first few rows (the “head” of the DataFrame).
  • .info() shows information on each of the columns, such as the data type and number of missing values.
  • .shape returns the number of rows and columns of the DataFrame.
  • .describe() calculates a few summary statistics for each column.

homelessness is a DataFrame containing estimates of homelessness in each U.S. state in 2018. The individual column is the number of homeless individuals not part of a family with children. The family_members column is the number of homeless individuals part of a family with children. The state_pop column is the state's total population.

pandas is imported for you.

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  • Print the head of the homelessness DataFrame.
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