Advanced Visualizations

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This course presents the principles and techniques of effective data visualization. Students learn fundamental concepts in communicating information through graphics and apply these concepts to build visualizations of their own. Advanced Visualizations

Data Visualization Nikhil Srivastava, 2015
Nikhil Srivastava
Moringa School
Summer 2015

Data Visualization Nikhil Srivastava, 2015
• What is Data Visualization?
• Thinking and Seeing
• From Data to Graphics
• Principles and Guidelines
• Highcharts and Javascript
• Class Project
introduction
foundation & theory
building blocks
design & critique
construction
Class Summary

Data Visualization Nikhil Srivastava, 2015
Data Visualization is:
• Useful
– Answers questions
– Reduces workload

Data Visualization Nikhil Srivastava, 2015
Data Visualization is:
• Useful
• Important
– Understand structure
– Resolve ambiguity
– Locate outliers

Data Visualization Nikhil Srivastava, 2015
Data Visualization is:
• Useful
• Important
– Design decisions affect interpretation

Data Visualization Nikhil Srivastava, 2015
Data Visualization is:
• Useful
• Important
• Powerful
– Communicate
– Teach
– Inspire

Data Visualization Nikhil Srivastava, 2015
Data Visualization is:
• Useful
• Important
• Powerful
• Relevant

Data Visualization Nikhil Srivastava, 2015
Vision: The Software
• High-level concepts: objects,
symbols
• Involves working memory
• Slow, sequential, conscious
• Sensory input
• Low-level features: orientation,
shape, color, movement
• Rapid, parallel, automatic
Visual
Perception
“Bottom-up”
“Top-down”

Data Visualization Nikhil Srivastava, 2015
Eye != Camera

Data Visualization Nikhil Srivastava, 2015
From Data to Graphics
What kind
of data do
we have?
How can we
represent the
data visually?
How can we
organize this into
a visualization?
Athi River Machakos 139,380
Awasi Kisumu 93,369
Kangundo-Tala Machakos 218,557
Karuri Kiambu 129,934
Kiambu Kiambu 88,869
Kikuyu Kiambu 233,231
Kisumu Kisumu 409,928
Kitale Trans-Nzoia 106,187
Kitui Kitui 155,896
Limuru Kiambu 104,282
Machakos Machakos 150,041
Molo Nakuru 107,806
Mwingi Kitui 83,803
Naivasha Nakuru 181,966
Nakuru Nakuru 307,990
Nandi Hills Trans-Nzoia 73,626
Visual
Encoding

Data Visualization Nikhil Srivastava, 2015
Data Types
CATEGORICAL ORDINAL NUMERICAL
Interval Ratio
Male / Female
Asia / Africa / Europe
True / False
Small / Med / Large
Low / High
Yes / Maybe / No
Time
Latitude/Longitude
Compass direction
Time
Length
Count
= = = =
< > < > < >
+ - + -
* /

Data Visualization Nikhil Srivastava, 2015
Channel Effectiveness

Data Visualization Nikhil Srivastava, 2015
Chart Types
SCATTER LINE
BAR PIE

Data Visualization Nikhil Srivastava, 2015
More Chart Types
• Stacked/Grouped Charts
• Treemap
• Multi-level Pie
• Heat Map
• Choropleth/Cartogram

Data Visualization Nikhil Srivastava, 2015
Design Principles

Data Visualization Nikhil Srivastava, 2015
Design Principles
• Integrity
– Tell the truth with data
• Effectiveness
– Achieve visualization objectives
• Aesthetics
– Be compelling, vivid, beautiful

Data Visualization Nikhil Srivastava, 2015
Examples

Data Visualization Nikhil Srivastava, 2015
The Ebb and Flow of Movies
NY Times, 2008
Advanced Visualizations

Data Visualization Nikhil Srivastava, 2015
Word Cloud - “Data Visualization” Wikipedia Page
Wordle

Data Visualization Nikhil Srivastava, 2015
ZIPScribble
Robert Kosara, 2006

Data Visualization Nikhil Srivastava, 2015
Twitter Networks
PJ Lamberson, 2012

Data Visualization Nikhil Srivastava, 2015
Blogs
• Infosthetics.com
• Visualizing.org
• FlowingData.com

Data Visualization Nikhil Srivastava, 2015
Class Website
• Send me your final projects!
• Will be updated with future classes

The document is a lecture on data visualization that covers: - An introduction to the topic and outline of the lecture sections on the foundations and theory, building blocks, design, construction, and advanced topics of data visualization. - How human vision and perception influence effective data visualization design through principles like using pre-attentive attributes and limiting the number of attributes shown. - The process of transforming raw data into a visualization by first understanding the data types, then selecting an appropriate visual encoding, and finally organizing the encoded data into a visualization.

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Advanced Visualizations

1. Data Visualization Nikhil Srivastava, 2015 Nikhil Srivastava Moringa School Summer 2015

2. Data Visualization Nikhil Srivastava, 2015 • What is Data Visualization? • Thinking and Seeing • From Data to Graphics • Principles and Guidelines • Highcharts and Javascript • Class Project introduction foundation & theory building blocks design & critique construction Class Summary

3. Data Visualization Nikhil Srivastava, 2015 Data Visualization is: • Useful – Answers questions – Reduces workload

4. Data Visualization Nikhil Srivastava, 2015 Data Visualization is: • Useful • Important – Understand structure – Resolve ambiguity – Locate outliers

5. Data Visualization Nikhil Srivastava, 2015 Data Visualization is: • Useful • Important – Design decisions affect interpretation

6. Data Visualization Nikhil Srivastava, 2015 Data Visualization is: • Useful • Important • Powerful – Communicate – Teach – Inspire

7. Data Visualization Nikhil Srivastava, 2015 Data Visualization is: • Useful • Important • Powerful • Relevant

8. Data Visualization Nikhil Srivastava, 2015 • What is Data Visualization? • Thinking and Seeing • From Data to Graphics • Principles and Guidelines • Highcharts and Javascript • Class Project introduction foundation & theory building blocks design & critique construction

9. Data Visualization Nikhil Srivastava, 2015 Vision: The Software • High-level concepts: objects, symbols • Involves working memory • Slow, sequential, conscious • Sensory input • Low-level features: orientation, shape, color, movement • Rapid, parallel, automatic Visual Perception “Bottom-up” “Top-down”

10. Data Visualization Nikhil Srivastava, 2015 Eye != Camera

11. Data Visualization Nikhil Srivastava, 2015 • What is Data Visualization? • Thinking and Seeing • From Data to Graphics • Principles and Guidelines • Highcharts and Javascript • Class Project introduction foundation & theory building blocks design & critique construction

12. Data Visualization Nikhil Srivastava, 2015 From Data to Graphics What kind of data do we have? How can we represent the data visually? How can we organize this into a visualization? Athi River Machakos 139,380 Awasi Kisumu 93,369 Kangundo-Tala Machakos 218,557 Karuri Kiambu 129,934 Kiambu Kiambu 88,869 Kikuyu Kiambu 233,231 Kisumu Kisumu 409,928 Kitale Trans-Nzoia 106,187 Kitui Kitui 155,896 Limuru Kiambu 104,282 Machakos Machakos 150,041 Molo Nakuru 107,806 Mwingi Kitui 83,803 Naivasha Nakuru 181,966 Nakuru Nakuru 307,990 Nandi Hills Trans-Nzoia 73,626 Visual Encoding

13. Data Visualization Nikhil Srivastava, 2015 Data Types CATEGORICAL ORDINAL NUMERICAL Interval Ratio Male / Female Asia / Africa / Europe True / False Small / Med / Large Low / High Yes / Maybe / No Time Latitude/Longitude Compass direction Time Length Count = = = = < > < > < > + - + - * /

14. Data Visualization Nikhil Srivastava, 2015 Channel Effectiveness

15. Data Visualization Nikhil Srivastava, 2015 Chart Types SCATTER LINE BAR PIE

16. Data Visualization Nikhil Srivastava, 2015 More Chart Types • Stacked/Grouped Charts • Treemap • Multi-level Pie • Heat Map • Choropleth/Cartogram

17. Data Visualization Nikhil Srivastava, 2015 • What is Data Visualization? • Thinking and Seeing • From Data to Graphics • Principles and Guidelines • Highcharts and Javascript • Class Project introduction foundation & theory building blocks design & critique construction

18. Data Visualization Nikhil Srivastava, 2015 Design Principles

19. Data Visualization Nikhil Srivastava, 2015 Design Principles • Integrity – Tell the truth with data • Effectiveness – Achieve visualization objectives • Aesthetics – Be compelling, vivid, beautiful

20. Data Visualization Nikhil Srivastava, 2015 Examples

21. Data Visualization Nikhil Srivastava, 2015 • What is Data Visualization? • Thinking and Seeing • From Data to Graphics • Principles and Guidelines • Highcharts and Javascript • Class Project introduction foundation & theory building blocks design & critique construction

22. Data Visualization Nikhil Srivastava, 2015 • What is Data Visualization? • Thinking and Seeing • From Data to Graphics • Principles and Guidelines • Highcharts and Javascript • Class Project introduction foundation & theory building blocks design & critique construction

23. Data Visualization Nikhil Srivastava, 2015 The Ebb and Flow of Movies NY Times, 2008 Advanced Visualizations

24. Data Visualization Nikhil Srivastava, 2015 Word Cloud - “Data Visualization” Wikipedia Page Wordle

25. Data Visualization Nikhil Srivastava, 2015 ZIPScribble Robert Kosara, 2006

26. Data Visualization Nikhil Srivastava, 2015 Twitter Networks PJ Lamberson, 2012

27. Data Visualization Nikhil Srivastava, 2015 Blogs • Infosthetics.com • Visualizing.org • FlowingData.com

28. Data Visualization Nikhil Srivastava, 2015 Class Website • Send me your final projects! • Will be updated with future classes

29. Data Visualization Nikhil Srivastava, 2015 Nikhil Srivastava Moringa School Summer 2015

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