1. Speaker Name
Title
00/00/00
Analysing Data with Power
View
Hive and Data Visualisation in Power BI

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2

3. Data Visualisation and Power View
We have the tools. All we’ve got to
do is imagine what could be.
We can reinvent the present;
we can transform the world around us.
Jason Silva
3

4. Computers have
promised us a
fountain of wisdom
but delivered a flood
of data
(Frawley, 1992)
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5. 50%
Almost
of your brain is
dedicated to visual processing.
David van Essen
Researchers found that colour
visuals increase the willingness to
read by
80%
About 70% of your
sensory receptors are in
your eyes.
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6. Data Visualisation and Power View
3D
Pie Charts
Colours
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7. Data Visualisation and Power View
Power View does not contain 3D functionality – why?
People can overestimate the vertical dimension (Wansink, 2003)
3D space makes it too difficult to compare
• Values
• Volumes
• Areas
Distorts
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8. Pie Charts and Power View
•
•
•
•
We find it difficult to read angles
We find it difficult to judge areas
We can’t easily read over 5 slices very well
Each part must be mutually exclusive
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9. Pie Charts – the Verdict!
You can compare combinations of adjacent wedges
The parts should make a sensible whole
You’re just expecting the image to answer one ‘business
question’ only
You do not need trendlines
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10. Pie Charts
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11. Pie Charts
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12. Pie Charts
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13. Pie Charts
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14. Pie Charts
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15. Trellis Charts
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16. Trellis Charts
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17. 17

18. Self-Service
Insights
Actions
18

19. Different Tools for Different Jobs
Power View
Highly Visual Design Experience
Power View is an interactive, ad hoc, query and
visualization experience.
It is for business question ‘mystery’ solving
Power Map
Power Map is a new 3D visualization add-in for
Excel helping you to analyse geographical and
temporal data
• Mapping
• Exploring
• Interacting
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20. Data where you want it
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21. Data where you want it
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22. Data where you want it
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23. Data where you want it
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24. Motion Charts
This makes even more of the limited space
We can pack more information in
Data / Ink Ratio
Motion is a pre-attentive attribute
Dependent on other items e.g. chartjunk
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25. THANK YOU!
• For attending this session and
PASS SQLRally Nordic 2013, Stockholm
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