
Tables and graphs can more adequately communicate important business information when they reflect the good design practices discussed in this practical guide to effective table and graph design. Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.
This just makes me waste my time compared to a table where I can sort/filter by different criteria.
Most of the time, "creative" visualizations tend to actually obscure meaning, or worse, mislead viewers.
Recommended reading: Show me the numbers by Stephen Few (his blog is also great: http://www.perceptualedge.com/blog/)
Few is heavily influenced (and cites) Edward Tufte - Tufte is probably the definitive reference for communicating data with visual techniques. If you are interested in pursuing scientific visualization, you probably need to spend some time with Tufte. I never have properly done this myself.
These sources will give you a solid foundation without being tied to specific tech. You'll probably find lots of libraries built on top of d3.js that implement the basic ideas of both authors. I have been meaning to look at data exploration examples (e.g., stuff with visualization examples in R) and translate to different front/backend. That might be neat too.
Build some examples where the visualization provides real insight to a defined business problem and you will probably score some new opportunities for yourself.
Good luck.
Show me the Numbers - goes much more in depth about the details of the different chart types and visualization best practices. There's a chapter or two on each of the main chart types.
Now You See It - This is described as a companion book to Show me the Numbers and focuses on data analysis as opposed to pure visualization.