Join Matt Francis for an in-depth discussion in this video Join: Challenge, part of Tableau 10 for Data Scientists.
(digitized music)…- [Instructor] To see how well you followed…the data prep section, here's a challenge.…I want you to connect to the Global Sales Data…in your Exercise folder.…This data needs to be cleaned up using the data interpreter.…The data then needs to be pivoted,…and the extra columns removed,…and renamed to something more sensible.…We then need to make a secondary connection…to the World Indicators.tde file in your Exercise folder.…We want to use a left join to pull over values…that are in both sides of the tables.…
We then want to create a bar chart showing the car sales,…and any other measure that you choose.…This should take you about five minutes.…
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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