Tableau Business Intelligence - Intermediate Techniques and Dashboard Design

Tableau Business Intelligence - Intermediate Techniques and Dashboard Design

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Creating Cluster Analysis Dashboards with Web Page Objects and Images

30 of 34

30 of 34

Creating Cluster Analysis Dashboards with Web Page Objects and Images

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Classroom Contents

Tableau Business Intelligence - Intermediate Techniques and Dashboard Design

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  1. 1 Start
  2. 2 Introduction
  3. 3 Airbnb's in New York
  4. 4 Copying Images to My Shapes Folder
  5. 5 Filtering Data at the Data Source Level
  6. 6 Creating Line Graphs to Show Number of Reviews by Month by Borough
  7. 7 Creating Density Maps - Adding Background Maps and Layers
  8. 8 Creating Density Maps - Adding Scale, Color, and Size
  9. 9 Creating New York City Borough Map
  10. 10 Creating Average Price by Borough and Neighborhood Visualizations
  11. 11 Copying Visualizations and Updating Fields
  12. 12 Introduction to Global Filters
  13. 13 Using Global Filters
  14. 14 Custom Colors
  15. 15 Custom Categorical Palettes
  16. 16 Creating Text Cards Summary Tiles
  17. 17 Creating Dashboards with Multiple Containers and Summary Tiles
  18. 18 Extra Credit Dashboard
  19. 19 Airbnb's in New York Recap
  20. 20 Billboard Hot 100 Analytics
  21. 21 Trends and Cluster Analysis
  22. 22 Reviewing Null Values in Data and Adding Date Filters
  23. 23 Creating Visualizations with Trendlines - Part 1
  24. 24 Creating Visualizations with Trendlines - Part 2
  25. 25 Creating Visualizations with Trendlines - Part 3
  26. 26 Creating Visualizations with Cluster Analysis - Part 1
  27. 27 Creating Visualizations with Cluster Analysis - Part 2
  28. 28 Creating Visualizations with Cluster Analysis - Part 3
  29. 29 Creating and Formatting Annotations on Visualizations
  30. 30 Creating Cluster Analysis Dashboards with Web Page Objects and Images
  31. 31 Creating Trendline Dashboards with Navigation Objects
  32. 32 Performing Dashboard Final Edits and Hiding All Sheets
  33. 33 Billboard Hot 100 Analytics Recap
  34. 34 Conclusion

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