Join Matt Francis for an in-depth discussion in this video Join: Solution, part of Tableau 10 for Data Scientists.
- [Voiceover] Here's the solutions that challenge.…First we're gonna connect to our global styles data.…We can find that in the excel sheet in your exercise folder.…Next we need to clean it up using the data interpreter.…For that we click the button.…The next step is to pivot the data.…So we're gonna select the years that we want to pivot…and from the drop down select pivot.…Next step is to remove the extra column…that we don't need anymore…and rename the field now to something more useful.…
Now we're gonna make a second connection…to our secondary data source.…For this, we click on add and this is a TD file…so we need to use other files.…We're gonna navigate to our exercise folder…and select world indicators.tde.…This contains a single sheet called extract.…So we'll pull it into our data window.…Now note Tableau is unable…to create the join first automatically.…It hasn't found a common field between the two data sources.…So we need to tell it which one to use.…
From our original data source…this is called regions and countries.…
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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