11 Data Presentation

Chapters in this book

1. Frontmatter i
2. Contents v
3. Preface xi
4. Acknowledgments xiii
5. 1 Introduction to Statistics for Data Analysts 1
6. 2 What is Data ? 5
7. 3 Statistics Review – Measures of the Central Tendency 11
8. 4 Probability Primer 33
9. 5 Occam’s Razor and Data Analytics 39
10. 6 Data Analysis Tools 43
11. 7 Effect Size 49
12. 8 Analysis Process Methods 53
13. 9 Data Analytics Thinking 63
14. 10 Where’s the Data ? 77
15. 11 Data Presentation 89
16. 12 Geospatial Data Analytics 95
17. 13 Additional Data Analytics Methods 103
18. 14 Summary 111
19. 15 Case Studies 113
20. APPENDIX. RECOMMENDED SOLUTIONS FOR CASE STUDIES 123
21. References 127
22. Index 129