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Describing Data

In: Python for Marketing Research and Analytics

Author

Listed:
  • Jason S. Schwarz

    (Google)

  • Chris Chapman

    (Google)

  • Elea McDonnell Feit

    (Drexel University)

Abstract

In this chapter, we tackle our first marketing analytics problem: exploring a new dataset. The goals for this chapter are to learn how to: Simulate a dataset Summarize and explore a dataset with descriptive statistics (mean, standard deviation, and so forth) Explore simple visualization methods Such investigation is the simplest analysis one can do yet also the most crucial. It is important to describe and explore any dataset before moving on to more complex analysis. This chapter will build your Python skills and provide a set of tools for exploring your own data.

Suggested Citation

  • Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020. "Describing Data," Springer Books, in: Python for Marketing Research and Analytics, chapter 0, pages 49-75, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-49720-0_3
    DOI: 10.1007/978-3-030-49720-0_3
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