It is always tempting to map data when there is a geographic component in it such as country or state. Building beautiful maps in Tableau is straightforward, although the question is, should you always create a map? Tableau Zen Master Matt Francis discusses whether this is always the correct approach and demonstrates techniques when it and isn’t appropriate to map data.
- [Instructor] Just because we can map our data, should we?…Are there times where mapping…is actually the correct decision?…Often, this depends what we're trying to do.…Our data might have some…useful geographic information into it,…but often times it simply has the name of the country…or the state, and mapping it isn't always the best option.…Let's look at some examples of both…good use of mapping and couple of bad ones.…To start with, we'll look at this sales map.…This is showing the amount of sales,…per state, in the U.S.A.…
One of the issues that we have is that…the geographic regions are all different sizes.…The states on the Eastern Seaboard are all very small,…so it's difficult to tell if they all have low sales…or simply a small surface area.…The larger states, such as Texas and California,…with the larger block of colors, can dominate.…Are we seeing a large amount of sales,…or simply a larger land area?…If we take Washington state and Texas,…and compare the two, they look almost the same color.…
But because Texas has a larger area…
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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