There is a list of the 3 most inspirational (to me) blogs about data viz.
I selected them for their quality, up to date information and because I liked.
Data viz is a trend growing to bring contextualized information to our users. Infographics help to understand lots of different data in a simple way, getting all together and providing a value added to this understanding, the relation between topics.
Enrico Bertini is a visual analytics researcher at the University of Konstanz, Germany.
‘is all about the joy and fun of getting interesting information out of data; better yet when it is large, complex, and dirty (we don’t like easy jobs here). It’s a way to celebrate the fun and beauty of living in this era of abundant data, of having all this information at our hands and being able to make it useful in funny and unexpected ways through pixels and bits.’
I strongly recommend these post:
- 7 Classic Foundational Vis Papers You Might not Want to Publicly Confess you Don’t Know
- Data Visualization and Influence
‘FINLWD is not about reporting daily news on cool visualizations on the web or somewhere else. If you are interested in these, you’d better go to the best sources you can find on the whole web: infosthetics and flowingdata.’
‘Inspired by Lev Manovich’s definition of “information aesthetics”, this weblog explores the symbiotic relationship between creative design and the field of information visualization. More specifically, it collects projects that represent data or information in original or intriguing ways. Since its conception in December 2004, several other terms have been introduced within the academic world for similar phenomena, ranging from ‘Information Aesthetic Visualization‘ (PDF) over ‘Casual Information Visualization‘ (PDF) to ‘Artistic Data Visualization‘ (PDF).’
FlowingData explores how designers, statisticians, and computer scientists are using data to understand ourselves better – mainly through data visualization. Money spent, reps at the gym, time you waste, and personal information you enter online are all forms of data. How can we understand these data flows? Data visualization lets non-experts make sense of it all.