Join Matt Francis for an in-depth discussion in this video Filter extract, part of Tableau 10 for Data Scientists.
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- [Instructor] Tableau data extracts are a great way…to get over the problem of a slow data source.…This enables the end-user experience to be nice and fast.…There are two ways to create a Tableau data extract,…from whether we already use an existing data source…or for our new connection.…First, let's have a look at how we create an extract…from an existing data source.…This example here, we're connecting to the…sample superstore sales data in your worksheet.…So we've got a live connection to the data.…If wanna create an extract,…we simply right-click on the data source, and Extract Data.…
Tableau then asks us how much data we wanna extract.…It's at this point we could add a filter to only…pull back a subset of the data.…This is useful if we have a very large data set.…But for this example,…we're gonna just leave everything as it is,…and we'll just extract everything.…Tableau needs to know where to store this file.…A Tableau data extract is a local file…held on our file system.…It's optimized for speed, so we need somewhere to store it.…
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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