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Computer Science and Information Systems Research Guide

Finding Data

Tools for Data Visualization

Data Conversion

Mr. Data Converter 
Will convert your Excel data into one of several web-friendly formats, including HTML, JSON and XML.

DataWrangler
A fantastic tool developed by the Stanford Visualization Group for wrangling and cleaning up your data into a format that can be interpreted by Tableau, R, etc.

Programming and Scripting

If you wish to build a visualization from the ground up, you can use the Java programming language to build an applet, or software such as Adobe Flash. Below are some resources that may help you develop a data visualization with a programming or scripting language.

Learning the Java Language
The basics of Java, an object-oriented programming language.

Cartagen
Cartagen is a vector-based, client-side framework for rendering maps in native HTML 5. Written in JavaScript, it uses the new Canvas element to load mapping data from various sources, including OpenStreetMap.

Web Tools

Tableau
Free data visualization tool.

Gapminder
At Gapminder World, you can view preloaded data using their visualization software.

Open Street Map
OpenStreetMap allows you to view, edit and use geographical data in a collaborative way from anywhere on Earth.

Examples of Data Visualizations

Data USA 
The most comprehensive visualization of US Data

Learn OpenStreetMap 
A great resource for learning how to edit OpenStreetMap.

Information is Beautiful 
Visualizations by David McCandless. Lots of beautiful examples of visualizations with a strong focus on design.

Flowing Data 
A data visualization blog.

Visualising Data 
A frequently updated blog that tracks the latest developments in data visualization tools, techniques, and resources.

How to Create Outstanding Modern Infographics
A written tutorial for creating infographics with Illustrator. Some basic experience with Illustrator is helpful.

The 33 Best Tools for Data Visualization 
A good list of data visualization tools. Many of these tools require coding knowledge.

WTF Visualizations 
Visualizations that make no sense.

Citing Your Data

You need to cite where you got your data from. It is best to do this somewhere at the bottom of your data visualization project, where it won't distract the audience.

If you got your data from several sources, make sure to cite each one.

Your citation should include at least the following:

  • the organization or authorresponsible for the data set
  • the title of the data set
  • the year the data set was published
  • the URL or DOI (digital object identifier) for where you located the dataset

See this Quick Guide by IASSIST for more information.