Really depends on what you want to do, what tools are available to you, and how theoretically you want to get.<p>For theory based academic papers, take a look through previous IEEE Vis conferences to see what's currently being presented -> <a href="http://ieeevis.org/year/2018/welcome" rel="nofollow">http://ieeevis.org/year/2018/welcome</a><p>For books on techniques and thinking of it, Nadieh Bremer (D3 and Data Art extraordinaire) has some good reviews -> <a href="https://www.visualcinnamon.com/resources/learning-data-visualization/books" rel="nofollow">https://www.visualcinnamon.com/resources/learning-data-visua...</a><p>For what's possible using D3 take a look at <a href="https://bl.ocks.org/mbostock" rel="nofollow">https://bl.ocks.org/mbostock</a><p>For other avenues / tools, feel free to email me at sebastian@dashingd3js.com and I can fill you in. It's what I do for a living (for the past ~6 years) and I've been visualizing data online since about 2008 so I have tons of links and resources to share. Just let me know what's helpful.