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.
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