Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science and includes (but is not limited to) spatial information.
The following sites might help you to think about visualizing information:
If you haven't run across them yet, take a look at the now-classic works of Edward Tufte.
Tableau is a user-friendly and powerful tool for visualizing information. Check out the Gallery to get an idea of what you can do. Tableau Public is a free web-based version which includes many in-depth tutorials. You can also see a 30-day trial of Tableau Desktop, a more powerful tool, which may be complementary for academic uses.
Here's a different way of visualizing information: Science Maps by Places & Spaces serve as visual interfaces to immense amounts of data.
Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization provides a history of the development of statistical representation in maps, charts and timelines with many references and resources.
Last updated: July 1, 2019