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Across
  1. 3. Detecting irregular pattern
  2. 4. Unusual data point
  3. 5. Stepwise visual change
  4. 7. User group over time
  5. 9. Grouping similar data
  6. 10. Data structure layout
  7. 11. Delay in data trend
  8. 12. Predicting customer exit
  9. 17. Customer grouping metric
  10. 18. Predicting future trends
  11. 19. Many models combined
  12. 20. Unified data storage
  13. 21. Data pattern discovery
  14. 22. Splitting text units
  15. 23. Collinearity detector
  16. 24. Product feature tradeoff
  17. 26. Filling missing values
  18. 28. Likelihood to act
Down
  1. 1. Change in data behavior
  2. 2. Random simulation method
  3. 6. Model performance booster
  4. 7. Cause and effect link
  5. 8. Dividing customers smartly
  6. 9. Relationship strength measure
  7. 13. Scaling data evenly
  8. 14. Selecting data subset
  9. 15. Finding item associations
  10. 16. Estimating relationships
  11. 25. Visual summary panel
  12. 27. Color data pattern
  13. 28. Cutting model branches