The Elements of Data Analytic Style



Download free course The Elements of Data Analytic Style, pdf file on 98 pages by Jeff Leek.
The dramatic change in the price and accessibility of data demands a new focus on data analytic literacy. This book is intended for use by people who perform regular data analyses. It aims to give a brief summary of the key ideas, practices, and pitfalls of modern data analysis. One goal is to summarize in a succinct way the most common difficulties encountered by practicing data analysts. It may serve as a guide for peer reviewers who may refer to specific section numbers when evaluating manuscripts. As will become apparent, it is modeled loosely in format and aim on the Elements of Style by William Strunk.

The book includes a basic checklist that may be useful as a guide for beginning data analysts or as a rubric for evaluating data analyses. It has been used in the author's data analysis class to evaluate student projects. Both the checklist and this book cover a small fraction of the field of data analysis, but the experience of the author is that once these elements are mastered, data analysts benefit most from hands on experience in their own discipline of application, and that many principles may be non-transferable beyond the basics.

Table of contents

  • Introduction
  • The data analytic question
  • Tidying the data
  • Checking the data
  • Exploratory analysis
  • Statistical modeling and inference
  • Prediction and machine learning
  • Causality
  • Written analyses
  • Creating figures
  • Presenting data
  • Reproducibility
  • A few matters of form
  • The data analysis checklist
  • Additional resources
Pages : 98
Size : 1.8 MB
File type : PDF
Downloads: 93
Created: 2022-02-03
License: CC BY
Author(s): Jeff Leek
The Elements of Data Analytic Style

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