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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

Plotting function

Now that you've looked at conversion rate by age, you want to see if that trend has changed over time. Marketing has been changing their strategy and wants to make sure that their new method isn't alienating age groups that are less comfortable with their product. However, to do so, you need to create a plotting function to make it easier to visualize your results.

In this exercise, you will build a function to plot the results of your conversion rate function.

Instructions

100 XP
  • Create a for loop for each column in the dataframe.
  • Plot a line chart of the column by the DataFrame's index.
  • Show the plot.