Highlighting allows us to quickly show something interesting we have found in the data. Tableau Zen Master Matt Francis introduces the concepts of impartial and biased highlighting. Matt demonstrates two techniques that can be employed to highlight data both when we want to show that something is interesting and when there is something both good and bad to quickly and effectively highlight issues
- [Instructor] First we'll look at some…impartial highlighting.…So what do I mean by impartial?…This is when we want to show that there's something…interesting in the data.…We're not necessarily saying whether the highlighting…is a good thing or a bad thing,…we're not making a judgement call…of what the data's showing us.…Essentially, we don't really care whether it's good or bad,…just that it's something that we wanna highlight…and draw somebody's attention to.…In this example we're gonna look in this workbook…at some impartial highlighting.…In this sheet we've got Sub-Category and Sales.…
Now we want to highlight the Art section,…the Chairs section, and the Storage section together,…because we're interested in how these sales compare…to all of the others.…To do that we're gonna select those three rows in our data.…So we're gonna do a Cmd + Shift on Art…and Chairs and Storage.…We're then gonna select this paperclip…to group them together.…So a couple of things have happened here.…Firstly, Tableau has grouped together these three items…
The training starts with one of the most important features in Tableau: the difference between the green and blue pills (discrete and continuous data) and how this affects every single action Tableau performs. Then find out how to add new maps and create more effective dashboards that maximize screen real estate. Discover how actions can link together sheets and provide greater levels of interactivity and performance, and how formatting can make an ordinary dashboard demand attention. Plus, get some bonus tips on performing date and time calculations in Tableau. This course deep-dives into the practical, applicable, and essential skills that anyone doing data visualization and analytics in a professional setting needs to have.
- Green vs. blue pills
- Using filters, colors, and dates
- Connecting to data
- Extracting data
- Cleaning and prepping data
- Pivoting data
- Merging and joining data
- Highlighting data
- Using the Analytics pane
- Creating new maps
- Creating calculations based on parameters
- Designing dashboards
Skill Level Intermediate
Creating Interactive Dashboards in Tableauwith Nate Makdad1h 38m Intermediate
Data Visualization for Data Analystswith Bill Shander1h 31m Beginner
1. Green and Blue Pills
2. Connect and Extract Data
3. Transform Data
5. Map Your Data
7. Dashboard Design
8. Useful Calculations
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