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Level of Detail Expressions & More
Berlin Tableau User Group @ SoundCloud
May 31, 2017
Seite 2
Christopher Mielack
Business Intelligence Consultant
§ @ M2. since April 2016
§ Background in Physics
§ Product Owner of M2. Tableau Toolbox
§ Specializations
§ Programming
§ Math / Data Analysis
§ Tableau Consulting
Seite 3
Tableau
§ User base is exploding
§ Realtime data exploration
§ Easy to learn, hard to master
Seite 4
Calculated Fields – Main Challenges for New Users
§ Result of an expression can be different in each view
§ Can be aggregates, can be non-aggregates
§ Table Calculations, Level of Detail Expressions are powerful, but can become complex
Seite 5
Level Of Detail (LoD) Expressions – Overview
§ Let you deviate from grouping in the View
§ Three very different types
§ INCLUDE (pre-aggregate)
§ EXCLUDE (ignore dimensions)
§ FIXED (independent of View)
§ Recommendation: Name your calculated fields carefully!
Seite 6
FIXED Level of Detail
§ Format: {FIXED [Dimension 1], [Dimension 2], … : SUM([Measure]) }
§ Independent of the View! *
§ Independent of Filtering! *
§ * mostly…
§ Example: Totals vs. Filtered Totals
Demo
Seite 8
FIXED Level of Detail
§ Internally creates temporary table
§ Can be inefficient with large data
§ Inflexible to use within Tableau
§ Context Filters do affect FIXED LoDs
Seite 9
INCLUDE Level of Detail
§ Format: {INCLUDE [Dimension 1], [Dimension 2], … : SUM([Measure]) }
§ Pre-aggregates data
§ Increases granularity
§ Akin to a sub-query in SQL
§ Example: Average Annual Sales
Demo
Seite 11
INCLUDE Level of Detail
§ Allows for aggregates of aggregates
§ Very flexible & in line with Tableau’s UI philosophy
§ Responds to filtering
Seite 12
EXCLUDE Level of Detail
§ Format: {EXCLUDE [Dimension 1], [Dimension 2], … : SUM([Measure]) }
§ Ignores [Dimension1], [Dimension 2], … before aggregating!
§ Reduces granularity
§ Example: Color by Totals
Demo
Seite 14
Level of Detail Expressions – Summary
§ INCLUDE / EXCLUDE
§ Very flexible
§ Responds to filters
§ FIXED
§ Ignores (non-context-) filters
§ Identical values in every View
§ Can have strong performance impact
Questions?
Seite 16
Polygon Charts
§ Whenever you think ”I can’t do that in Tableau”, try Polygon Charts!
§ Create diagrams with custom shapes
§ Algorithmic Geometry
Seite 17
Polygon Examples
...From the Web
http://www.evolytics.com/blog/tableau-201-how-to-make-small-multiple-stadium-maps/
Seite 18
Polygon Examples
...From the Web
https://public.tableau.com/profile/teampolygon#!/vizhome/ChooseLucaandRafiforVizWiz/Dashboard1
Seite 19
Polygon Charts – Basic Principles
§ Each “row” in your view = one point in a shape
§ Columns = X, Rows = Y
§ Define point order on the Path Shelf
§ Draw lines between the points, then fill in the shape
Demo
Seite 21
Making a Spiral Diagram ...
Vielen Dank
Christopher Mielack
christopher.mielack@m2dot.com
+49 151 2910 8875
M2. technology & project consulting GmbH
Potsdamer Platz 1
D-10785 Berlin
Germany
Kontakt

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Tableau Level of Detail Expressions and Polygon Charts

  • 1. Level of Detail Expressions & More Berlin Tableau User Group @ SoundCloud May 31, 2017
  • 2. Seite 2 Christopher Mielack Business Intelligence Consultant § @ M2. since April 2016 § Background in Physics § Product Owner of M2. Tableau Toolbox § Specializations § Programming § Math / Data Analysis § Tableau Consulting
  • 3. Seite 3 Tableau § User base is exploding § Realtime data exploration § Easy to learn, hard to master
  • 4. Seite 4 Calculated Fields – Main Challenges for New Users § Result of an expression can be different in each view § Can be aggregates, can be non-aggregates § Table Calculations, Level of Detail Expressions are powerful, but can become complex
  • 5. Seite 5 Level Of Detail (LoD) Expressions – Overview § Let you deviate from grouping in the View § Three very different types § INCLUDE (pre-aggregate) § EXCLUDE (ignore dimensions) § FIXED (independent of View) § Recommendation: Name your calculated fields carefully!
  • 6. Seite 6 FIXED Level of Detail § Format: {FIXED [Dimension 1], [Dimension 2], … : SUM([Measure]) } § Independent of the View! * § Independent of Filtering! * § * mostly… § Example: Totals vs. Filtered Totals
  • 8. Seite 8 FIXED Level of Detail § Internally creates temporary table § Can be inefficient with large data § Inflexible to use within Tableau § Context Filters do affect FIXED LoDs
  • 9. Seite 9 INCLUDE Level of Detail § Format: {INCLUDE [Dimension 1], [Dimension 2], … : SUM([Measure]) } § Pre-aggregates data § Increases granularity § Akin to a sub-query in SQL § Example: Average Annual Sales
  • 10. Demo
  • 11. Seite 11 INCLUDE Level of Detail § Allows for aggregates of aggregates § Very flexible & in line with Tableau’s UI philosophy § Responds to filtering
  • 12. Seite 12 EXCLUDE Level of Detail § Format: {EXCLUDE [Dimension 1], [Dimension 2], … : SUM([Measure]) } § Ignores [Dimension1], [Dimension 2], … before aggregating! § Reduces granularity § Example: Color by Totals
  • 13. Demo
  • 14. Seite 14 Level of Detail Expressions – Summary § INCLUDE / EXCLUDE § Very flexible § Responds to filters § FIXED § Ignores (non-context-) filters § Identical values in every View § Can have strong performance impact
  • 16. Seite 16 Polygon Charts § Whenever you think ”I can’t do that in Tableau”, try Polygon Charts! § Create diagrams with custom shapes § Algorithmic Geometry
  • 17. Seite 17 Polygon Examples ...From the Web http://www.evolytics.com/blog/tableau-201-how-to-make-small-multiple-stadium-maps/
  • 18. Seite 18 Polygon Examples ...From the Web https://public.tableau.com/profile/teampolygon#!/vizhome/ChooseLucaandRafiforVizWiz/Dashboard1
  • 19. Seite 19 Polygon Charts – Basic Principles § Each “row” in your view = one point in a shape § Columns = X, Rows = Y § Define point order on the Path Shelf § Draw lines between the points, then fill in the shape
  • 20. Demo
  • 21. Seite 21 Making a Spiral Diagram ...
  • 23. Christopher Mielack christopher.mielack@m2dot.com +49 151 2910 8875 M2. technology & project consulting GmbH Potsdamer Platz 1 D-10785 Berlin Germany Kontakt