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When to use data visualizations
and what kind of data?
What works? What doesn't?
WHY
Data Visualizations
Which data to Visualize
• Numerical data
• Non-numerical data
Also
• Discrete data (is counted)
• Continuous data (is measured)
Discrete Data
Contains certain values.
Example
The number of students in a class
(you can't have half a student)
Discrete data - still
• Number of children in a household
• Number of languages a person speaks
• Number of people sleeping in Parliament
Continuous data
• Time to complete a task
• Height
• Time to wake up in the morning
• Speed of the train
• Temperature
What to do with this data?
What works?
Graphical representation forms
• Graphs: Scatter graph, bar, chart, line, picture
etc
• Histograms
• Tag clouds
• Cartography – Designing Maps
• Infographics
Scatter Graphs
Bar Graph
Picture or symbols Graph
Number of pupils in Mbale going to School
Primary SchoolPre-school
University Post-grad
Number of books read by Paul in the school library
Maps
Designing Maps
Histograms
Tag Clouds
Interactive Visualisations
Infographics
Pattern, Story, Graphics
References - Links
Visualizing.org - http://www.visualizing.org
Visage - http://www.visage.co
Flowing Data - http://flowingdata.com
Information is beautiful - http://www.informationisbeautiful.net
Google Charts - http://code.google.com/apis/chart/
d3.js - Data-Driven Documents - http://d3js.org/
Ushahidi - http://www.ushahidi.com
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Open data day data visualizations