Tableau can be considered as just the presentation layer on top of a data source. One of the strengths of Tableau is that the underlying data is always a click away allowing the examination of the raw data to confirm the visualization. Tableau Zen Master Matt Francis demonstrates its even easier to now export the transformed data in a data source to be exported to CSV and used in external applications
- [Instructor] One new feature in Tableau 10.2…is the ability to export a data source as a CSV.…Now why might you want to do that?…Tableau enables you to add extra information…to an existing data source, for example, calculated fields.…In this example here, we're looking…at Superstore sales data.…Now I've split the Customer Name into Forename and Surname…using the Split function which performs this calculation.…It simply splits the Customer Name on the white space…to give me two new fields, one called Forename…and one called Surname.…
I've also created a calculated field called Profitable.…This is a simple calculation that says if the Profit…is greater that zero, then Yes, otherwise No.…This is now going to give us a text field Yes or No…depending on whether our data is profitable or not.…I will also create a new measure called Double Discount…which is simply the Discount multiplied by two.…Now say I wanted to share this data source with somebody.…At the moment, it only exists on my computer.…It would be really nice if I could create an export…
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
Q. Thise course was updated 04/21/2017. What changed?
A. Videos were added to cover features in Tableau 10.2.
Creating Interactive Dashboards in Tableauwith Nate Makdad1h 37m Intermediate
Data Visualization for Data Analystswith Bill Shander1h 31m Beginner
Learning Data Visualization (2014)with Bill Shander3h 41m Beginner
1. Green and Blue Pills
2. Connect and Extract Data
3. Transform Data
5. Map Your Data
7. Dashboard Design
8. Useful Calculations
9. Tableau 10.2 Updates
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