A brief list of resources I've found helpful on this continuing journey into data. This list is by no means authoritative, but is a list, with a bit of information that might be useful, rather than just a list. The books listed, I actually have physical copies of. Some are also available online, and despite needing to be online/on a computer to 'practice' and learn data visualisation I just have a personal preference for reading printed books!
Folio book of infographics designed by David, many of which are also interactive graphics on his page informationisbeautiful.net. The website/book first inspired my interest in data visualisation, and how to make it interactive.
Guide for those purely interested in data journalism - how to get the data, where to get it, basic tools to analyse and plot the data. Simon worked as the 'Data' journalist at The Guardian for many years and hence has lots of practical experience and advice on this matter.
A complete guide to data visualisation for beginners and those with some know -how. This book is not 'tool specific' (e.g. Tableau/D3?) but is a more generalised overview of the principles of data visualisation, including directing the reader to important questions they need to ask themselves about their data source, what to do with it and the best types of graph to plot it with.
Mike created d3js (he is the 'God'), and worked as the data editor/journalist at the New York Times. If you have never come across his own website directly, doubtless you've seen his name in something to do with D3!
Literally, hundreds of d3 visualisations in a page of blocks. "Blocks" is a tool to quickly create, edit and fork d3js examples; this website is a really good 'visualisation' index: if you are looking to develop a project, not sure what type of visualisation you should use, check in here for inspiration.
Shirley is a freelance data-viz developer who has some amazing visualisations.
A physicist (astronomer!) turned Data Scientist via her passion for interactive data visualisations.