Selecting the right tool for data visualization often depends on the data type in question and the user's comfort level with coding. Fortunately, there are many options! While this list isn't an exhaustive overview of data visualization tools/software available (see here and here for more extensive coverage of visualization software/libraries), it can provide a starting point. Email the Data Science Librarian if you have any questions.
There are a variety of reasons you may prefer a point-and-click interface for making data visualizations. The main issue to consider is what type of data you are working with, as many tools are specialized to work with certain data formats.
If your data is: mostly or all numeric (e.g., GPD over time, species counts, coded survey data, etc.)
If your data is: raw text (e.g., newspaper articles, journal articles, any literature)
For more information about text mining tools, especially in the context of Digital Humanities, reach out to the Digital Scholarship Librarian.
If you are working with a scripting language for other aspects of data analysis, you're in luck! You can often use the same software for everything from data cleaning to data visualization.
If your data is: geospatial (vector, raster)
If your data is: images (video, picture)
The Digital Media Lab in Geisel is equipped with state of the art machines and software to help with image processing, manipulating editing, and more. Plus, there's a 3D printer available for use!