Data Science for Marketing Analytics
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Chapter 2
Data Exploration and Visualization

Learning Objectives

By the end of this chapter, you will be able to:

  • Create summaries, aggregations, and descriptive statistics from your data
  • Reshape pandas DataFrames to detect relationships in data
  • Build pivot tables and perform comparative analysis and tests
  • Create effective visualizations through Matplotlib and seaborn

This chapter explains how to derive various descriptive statistics and generate insights and visualizations from your data.