Selecting a Tool
Selecting a tool depends on many variables:
- The type of tool you are working with.
- If you are new to working with data visualization tools
- If you have coding experience
- How much time you have to prepare and learn a tool.
Quantitative Data Visualization Tools
- R (requires coding experience)
- D3.js (requires coding and familiarity with JavaScript and CSS) D3.js Tutorials
- Microsoft Excel
- Tableau Public (Note: This is the free version of Tableau. There may be other versions that require a subscription for access to more features).
- Microsoft Power BI (This is also a Microsoft product and Lewis students and faculty should have access to it)
- Datawrapper Basic
- RAWGraphs (Creates visualizations in the browser without needing to install software. Focuses on chart types that are difficult to create with other visualization tools).
Qualitative Data Visualization Tools
More information on other tools can be found at this LibGuide from the University of Washington Libraries: Data Visualization Tools
