4. Slice and Dice – Grouping, Sorting, and Filtering Data
by Shweta Sankhe-Savale
Tableau Cookbook – Recipes for Data Visualization
- Tableau Cookbook – Recipes for Data Visualization
- Table of Contents
- Tableau Cookbook – Recipes for Data Visualization
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. Keep Calm and Say Hello to Tableau
- 2. Ready to Build Some Charts? Show Me!
- Introduction
- Building views manually
- Building views automatically
- Understanding Show Me!
- Creating a Text table
- Creating a Highlight table
- Creating a Heat map
- Creating a Bar chart
- Creating a Stacked Bar chart
- Creating a Pie chart
- Creating a Line chart
- Creating an Area chart
- Creating a Treemap
- Creating a Packed Bubble chart
- Creating a word cloud
- 3. Hungry for More Charts? Dig In!
- 4. Slice and Dice – Grouping, Sorting, and Filtering Data
- 5. Adding Flavor – Creating Calculated Fields
- Introduction
- Understanding how to create and use Calculations
- Creating string calculations
- Creating arithmetic calculations
- Creating date calculations
- Creating logic calculations
- Using sets in calculations
- Understanding Table Calculations
- Understanding Level of Detail (LOD) Calculations
- Understanding INCLUDE LOD
- Understanding EXCLUDE LOD
- Understanding FIXED LOD
- Understanding how to create and use Parameters
- 6. Serve It on a Dashboard!
- 7. The Right MIX – Blending Multiple Data Sources
- 8. Garnish with Reference Lines, Trends, Forecasting, and Clustering
- 9. Bon Appétit! Tell a Story and Share It with others
- 10. Formatting in Tableau for Desserts
- Index
In this chapter, we will focus on slicing and dicing our data, covering the following recipes:
- Sorting the data
- Creating a custom hierarchy
- Grouping the data
- Creating bins to bucket our data
- Creating and using filters
- Creating and using sets
- Creating and using context filters
Now that we have seen how to create various chart types in Tableau, it is time for us to focus on how to add more value to our analysis by using the various methods of slicing and dicing the data, filtering our data to only look at the relevant data points, categorizing our data into groups to make better sense, and so on.
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