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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

Examining the data

Now that you've imported the data, you will examine it to ensure it is valid. While it may be tempting to dive into analysis, by validating your dataset immediately, you ensure that the insights you derive are both true and actionable. Ensuring the validity of your dataset should always be the first step you take when beginning analysis on a new dataset.

The marketing DataFrame is available in your workspace.

Instructions 1/3

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  • 1

    Print the first five rows of the marketing DataFrame.

  • 2

    Print the summary statistics of all columns in the marketing DataFrame.

  • 3

    Print the number of non-missing values and the data type of all columns in marketing.