Data Literacy
eBook - ePub

Data Literacy

A User′s Guide

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Data Literacy

A User′s Guide

About this book

A practical, skill-based introduction to data analysis and literacy  

We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User?s Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today's world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.

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Yes, you can access Data Literacy by David Herzog in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Communication Studies. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Preface: In praise of data literacy
  9. Acknowledgments
  10. Section I Welcome to the world of data
  11. Chapter 1 Data Defined
  12. Section II Identifying and obtaining data
  13. Chapter 2 Clues for Uncovering Data
  14. Chapter 3 Online Databases
  15. Chapter 4 Identifying and Requesting Offline Data
  16. Section III Evaluating and cleaning data
  17. Chapter 5 Data Dirt is Everywhere
  18. Chapter 6 Data Integrity Checks
  19. Chapter 7 Getting Your Data in Shape
  20. Section IV Analyzing data
  21. Chapter 8 Number Summaries and Comparisons
  22. Chapter 9 Calculating Summary Statistics and Number Comparisons
  23. Chapter 10 Spreadsheets as Database Managers
  24. Section V Visualizing data
  25. Chapter 11 Visualizing your Data
  26. Chapter 12 Charting Choices
  27. Chapter 13 Charting in Excel
  28. Chapter 14 Charting with Web Tools
  29. Chapter 15 Taking Analysis to the Next Level
  30. Appendix Data toolkit
  31. Glossary
  32. References
  33. Index
  34. About the Author
  35. Advertisement