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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

Marketing channels across age groups

Some marketing stakeholders want to know if their marketing channels are reaching all users equally or if some marketing channels are serving specific age demographics.

Within a marketing team, it is common to get requests that require quick analysis and visualization. The better you are at visualizing the results, the more likely that you will effectively communicate your findings to your stakeholders.

In this exercise, you will create a grouped bar chart showing how many people each marketing channel reached by age group.

Instructions

100 XP
  • Unstack channel_age with level = 1 and transform the result into a DataFrame.
  • Plot channel_age as a grouped bar chart.
  • Add a legend in the upper right and set the labels equal to channel_age_df.columns.values.