Data Viz for Data Discovery

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The purpose of collecting data is to use data. Good data visualization should be interactive, multidimensional, and visually efficient. If it meets these characteristics, it can communicate not just what happened in training but can help demonstrate the outcomes and insights of why it matters to leadership. This presentation was shared at Learning Solutions in Orlando on March 21, 2017.

Daten & Analysen

Data Viz for Data Discovery
xAPI Camp Learning Solutions 2017

First things first. Here’s a little
context to get us started.

Experience data is a
combination of activity,
behavior, learning, and
performance data.

Experience Data is collected from a Modular Ecosystem:

We’ve been visualizing
data for hundreds of years.

We visualize data so that we
can literally see patterns.

So what qualities make a
visualization good for data
discovery?

1. Interactive
Let the user ask questions.
● When you’re designing the interface, consider how users
will be able to ask questions.
● Build interaction tools directly into the visual display where
possible; intuitive interaction allows for more fluid
discovery.

2. Multidimensional
Help the user see relationships
between different variables.
● Consider the visual space and all the visual dimensions
you can use to convey information.
● Color, shape, size, spatial organization, line thickness,
hover / interactive detail.

Yet Analytics xAPI LRS Statement Frequency

Yet Analytics xAPI LRS Statements Over Time

3. Visually Efficient
Use visualization types that match
your data sets.
● A good visualization conveys information in a dramatically
smaller footprint than the same data presented tabularly.
● Different graph types imply different kinds of relationships
– use the ones that work with your data, not against it.

Yet Analytics xAPI LRS + Analytics: yetanalytics.com/freetrial
Click for video: https://youtu.be/Mbff6czckEU

Help people answer questions. Give them the
tools to discover patterns in their people data.
Use your data.

Get others involved. Use these as guiding
principles to design yours – or use ours.
Make people care.

Sign up for LRS:
yetanalytics.com/freetrial
Email me for access to demo:
margaret@yetanalytics.com

Yet Analytics xAPI LRS
● yetanalytics.com
Interactive viz tools:
● rawgraphs.io/
● d3js.org/
Reference:
● This is every active satellite orbiting earth
● Best American Infographics 2014, 2015
● Design for Information
● Visual Complexity: Mapping Patterns of
Information
Resources
Margaret Roth
@margaret_h_r
margaret@yetanalytics.com
Yet Analytics • yetanalytics.com
Experience Intelligence in Human Capital
Analytics

Yet Analytics xAPI LRS + Analytics: yetanalytics.com/freetrial

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Data Viz for Data Discovery

1. Data Viz for Data Discovery xAPI Camp Learning Solutions 2017

2. First things first. Here’s a little context to get us started.

3. Experience data is a combination of activity, behavior, learning, and performance data.

4. Experience Data is collected from a Modular Ecosystem:

5. We’ve been visualizing data for hundreds of years.

6. The Tree of the Two Advents, 1202

7. Geometry, 1587

8. Diagrams, 1854

9. We visualize data so that we can literally see patterns.

10. So what qualities make a visualization good for data discovery?

11. 1. Interactive Let the user ask questions. ● When you’re designing the interface, consider how users will be able to ask questions. ● Build interaction tools directly into the visual display where possible; intuitive interaction allows for more fluid discovery.

12. The World Above Us, 2014

13. Yet Analytics xAPI LRS Timeline

14. 2. Multidimensional Help the user see relationships between different variables. ● Consider the visual space and all the visual dimensions you can use to convey information. ● Color, shape, size, spatial organization, line thickness, hover / interactive detail.

15. Buzzy Drinks, 2013

16. Yet Analytics xAPI LRS Statement Frequency

17. Yet Analytics xAPI LRS Statements Over Time

18. 3. Visually Efficient Use visualization types that match your data sets. ● A good visualization conveys information in a dramatically smaller footprint than the same data presented tabularly. ● Different graph types imply different kinds of relationships – use the ones that work with your data, not against it.

19. Weather Radials, 2014

20. LESI fingerprints, 2016

21. Yet Analytics xAPI LRS Outliers Graph

22. Yet Analytics xAPI LRS + Analytics: yetanalytics.com/freetrial Click for video: https://youtu.be/Mbff6czckEU

23. Help people answer questions. Give them the tools to discover patterns in their people data. Use your data.

24. Get others involved. Use these as guiding principles to design yours – or use ours. Make people care.

25. Sign up for LRS: yetanalytics.com/freetrial Email me for access to demo: margaret@yetanalytics.com

26. Yet Analytics xAPI LRS ● yetanalytics.com Interactive viz tools: ● rawgraphs.io/ ● d3js.org/ Reference: ● This is every active satellite orbiting earth ● Best American Infographics 2014, 2015 ● Design for Information ● Visual Complexity: Mapping Patterns of Information Resources Margaret Roth @margaret_h_r margaret@yetanalytics.com Yet Analytics • yetanalytics.com Experience Intelligence in Human Capital Analytics

27. Yet Analytics xAPI LRS + Analytics: yetanalytics.com/freetrial

28. Yet Analytics xAPI LRS + Analytics: yetanalytics.com/freetrial

29. Yet Analytics xAPI LRS + Analytics: yetanalytics.com/freetrial

Data Viz for Data Discovery

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