This might be of interest to a few readers: network plots with ggplot2 (via 339 députés sur Twitter | Polit’bistro : des politiques, du café — shameless plug)
This might be of interest to a few readers: network plots with ggplot2 (via 339 députés sur Twitter | Polit’bistro : des politiques, du café — shameless plug)
Media for Thinking the Unthinkable (by Bret Victor)
Nice graphs showing up more and more at LeMonde.fr, great tool and easy data retrieval too (Datawrapper).
R Notebook with rCharts (by Ramnath Vaidyanathan) — and I suspect that this is only the beginning. Visualization is more and more interesting these days. Hat tip to KJH for linking to the video.
(via The Junk Charts Challenge: Remaking a great line chart in SPSS | Andrew Wheeler) — I pity SPSS users
“The root problem is that mortality is inevitable for everyone, everywhere. This graphic lumps together pneumonia deaths at age 1 with car accidents at age 20, and cancer deaths at 50 with heart disease deaths at 80. We typically don’t (and I would argue should’t) assign the same weight to a death in childhood or the prime of life with one that comes at the end of a long, satisfying life. The end result is that this graphic greatly overemphasizes the importance of non-communicable diseases in the 20th century — that’s the impression most laypeople will walk away with.” (via Brett Keller – global health & development » This beautiful graphic is not really that useful)