Prepping Data for Analysis Using R

Prepping Data for Analysis Using R

Open Data Science via YouTube Direct link

Intro

1 of 29

1 of 29

Intro

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Prepping Data for Analysis Using R

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  1. 1 Intro
  2. 2 Workshop Outline
  3. 3 Workshop Agenda
  4. 4 Workshop Goals
  5. 5 Data Preparation
  6. 6 Faulty Sensor Situation
  7. 7 systematically missing variables
  8. 8 building missing variables
  9. 9 missing values
  10. 10 pragmatic solution
  11. 11 novel categorical levels
  12. 12 new data
  13. 13 Wyoming
  14. 14 Chemical categorical variables
  15. 15 Dealing with new levels
  16. 16 VTreat solution
  17. 17 Categorical variables
  18. 18 Compact coding
  19. 19 Indicator vs numerical variables
  20. 20 Treatment Plan
  21. 21 User Interface
  22. 22 Treatment Example
  23. 23 Linear Regression
  24. 24 Calibration
  25. 25 Interpretation
  26. 26 Operational Issues
  27. 27 Overfitting
  28. 28 Data fussing
  29. 29 John Mount

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