Log in from a computer to take this course

You'll need to log in from a computer to start Learn Data Analysis with Pandas. But you can practice or keep up your coding streak with the Codecademy Go app. Download the app to get started.

apple storegoogle store
Learn

We now know how to create our own DataFrame. However, most of the time, we’ll be working with datasets that already exist. One of the most common formats for big datasets is the CSV.

CSV (comma separated values) is a text-only spreadsheet format. You can find CSVs in lots of places:

  • Online datasets (here’s an example from data.gov)
  • Export from Excel or Google Sheets
  • Export from SQL

The first row of a CSV contains column headings. All subsequent rows contain values. Each column heading and each variable is separated by a comma:

column1,column2,column3 value1,value2,value3

That example CSV represents the following table:

column1 column2 column3
value1 value2 value3

Instructions

1.

You run a cupcake store and want to create a record of all of the cupcakes that you offer.

Write the following data as a CSV in cupcakes.csv.

name cake_flavor frosting_flavor topping
Chocolate Cake chocolate chocolate chocolate shavings
Birthday Cake vanilla vanilla rainbow sprinkles
Carrot Cake carrot cream cheese almonds

Sign up to start coding

Mini Info Outline Icon
By signing up for Codecademy, you agree to Codecademy's Terms of Service & Privacy Policy.

Or sign up using:

Already have an account?