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  3. Analyzing Marketing Campaigns with pandas
  • 1

    Pandas

    Free

    In this chapter, you will review pandas basics including importing datasets, exploratory analysis, and basic plotting.

  • 2

    Exploratory Analysis & Summary Statistics

    In this chapter, you will learn about common marketing metrics and how to calculate them using pandas. You will also visualize your results and practice user segmentation.

  • 3

    Conversion Attribution

    In this chapter, you will build functions to automate common marketing analysis and determine why certain marketing channels saw lower than usual conversion rates during late January.

  • 4

    Personalization A/B Test

    In this chapter, you will analyze an A/B test and learn about the importance of segmentation when interpreting the results of a test.

Initializing

Exercise

Confirming house ads error

Now that you've created a DataFrame that checks whether users see ads in the correct language let's calculate what percentage of users were not being served ads in the right language and plot your results.

Instructions

100 XP
  • Add a pct column to language_check_df which divides the count where language is correct by the row sum extracted using the .sum() method.
  • Make a line plot with the date as the x-axis and the pct column as the y-axis and show your results.