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Data
Visualization &
Infographics
the MIS Society.
3.13.14
Data Visualization: What
is it?
Data visualization is the
graphical representation of
numerical data.
The right data tool can
present a complex data set in
a way that is simple to
understand.
Visual Analytics: What
is it?
Visual analytics is a form of inquiry
in which data that provides insight
into solving a problem
is displayed in an interactive,
graphical manner
Revealing patterns, trends and
correlations.
Why Visualize?
-test data management strategies
-helpful for understanding large
complex data sets
-process abstract business or
scientific data as images
Examples.
0
2
4
6
8
10
0 2 4 6 8 10 12
Pt. 1: Good data
visualization should
• Show the data
• Induce the viewer to think
about the substance rather than
about methodology, graphic
design, technology of graphic
production etc.
• Avoid distorting what the data
has to say
• Present many numbers in a small
space
Pt. 2: Good data
visualization should
• Make large data sets coherent
• Encourage the eye to compare
different pieces of data
• Reveal the data at several levels
of detail, from a broad overview
to the fine structure
• Serve a reasonably clear purpose:
description, exploration,
tabulation or decoration
• Be closely integrated with the
statistical and verbal
Infographics
• Best Infographics
• Parrot’s Emotion Classification
• Untranslatable Emotions in Languages other
than English

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Data Visualization and Infographics

  • 2. Data Visualization: What is it? Data visualization is the graphical representation of numerical data. The right data tool can present a complex data set in a way that is simple to understand.
  • 3. Visual Analytics: What is it? Visual analytics is a form of inquiry in which data that provides insight into solving a problem is displayed in an interactive, graphical manner Revealing patterns, trends and correlations.
  • 4. Why Visualize? -test data management strategies -helpful for understanding large complex data sets -process abstract business or scientific data as images Examples.
  • 5. 0 2 4 6 8 10 0 2 4 6 8 10 12
  • 6. Pt. 1: Good data visualization should • Show the data • Induce the viewer to think about the substance rather than about methodology, graphic design, technology of graphic production etc. • Avoid distorting what the data has to say • Present many numbers in a small space
  • 7. Pt. 2: Good data visualization should • Make large data sets coherent • Encourage the eye to compare different pieces of data • Reveal the data at several levels of detail, from a broad overview to the fine structure • Serve a reasonably clear purpose: description, exploration, tabulation or decoration • Be closely integrated with the statistical and verbal
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Infographics • Best Infographics • Parrot’s Emotion Classification • Untranslatable Emotions in Languages other than English