There is a wide variety of data visualization software. Use the following catalogs to select the best tool for your visualization tasks.
Browse through tools that plot data on maps; create charts, graphs and diagrams; simplify data handling; and help select colors.
Explore web-based and programming-based tools which handle data, draw maps and charts, and generate colors.
Once you have chosen a data visualization tool, you can find plenty of supporting documentation at the library and on the web. Resources for several popular data visualization software are included here.
Excel charts can be leveraged to build compelling, albeit simple, visualizations.
Visual Intelligence by R is an open-source software with several data visualization packages, including ggplot2 and Plotly.
ggplot2 by 
R Graphics, Second Edition by Tableau is a powerful business intelligence software known for creating clean, interactive data visualizations. While users can access full functionality through a paid desktop license, anyone can use Tableau Public. See select visualizations on the Tableau Public Gallery
Tableau: Creating Interactive Data Visualizations by 
Pro Tableau by Flourish allows you to upload spreadsheets or paste from Excel which you can turn into charts, maps and interactive stories. It is extremely straightforward with no coding required and they have a very flexible template library. Once you’ve finished your visualization you can embed it on your own site or download the RAW files.
ArcGIS supports the visualization and analysis of spatial (map) data. Faculty and staff can request licenses through eCampus. Students can receive access through course enrollment.
Spatial analytics with ArcGIS by 
Visualizing Graph Data by 
Network Graph Analysis and Visualization with Gephi by 
d3.js in Action by 
Expert Data Visualization by RAW Graphs is a graphical user interface built on top of d3.js, so if you are interested in d3.js visualizations but don’t want to code from scratch, this is a good option.
