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  • March 2022 (Revised July 2022)
  • Module Note

Exploratory Data Analysis

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
  • Format:Print
  • | Language:English
  • | Pages:28
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Abstract

This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v. numeric, etc.). Next, the note describes the basic summary statistics that firms use to track key business outcomes. Finally, the note provides an overview of different visualizations. An appendix is provided, which includes the R code for creating all of the figures and visualizations shown in the note.

Keywords

Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis

Citation

Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Module Note 622-098, March 2022. (Revised July 2022.)
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About The Authors

Iavor I. Bojinov

Technology and Operations Management
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Michael I. Parzen

Technology and Operations Management
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Related Work

    • March 2022 (Revised July 2022)
    • Faculty Research

    Exploratory Data Analysis

    By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
Related Work
  • Exploratory Data Analysis By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
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