Beautiful visualizations of how language differs among document types. - GitHub - JasonKessler/scattertext: Beautiful visualizations of how language differs among document types.
This manual has been available on this site since about 1996, with improvements taking place frequently. The current version has been published as a book of about 350 pages by Cambridge University Press. By agreement with the Press, however, it will remain posted on this web site. Many improvements in the current version over previous ones are due to the (anonymous) referees of the Press, whom I wish to thank heartily. I also wish to thank Lauren Cowles, of the New York office of the Press, for much help with preparing the original version for publication. The paper edition appears also in Duotone red and black. For information on obtaining the paper edition, take a look at the Cambridge Press catalogue.
Grafana is the leading open source project for visualizing metrics. Supporting rich integration for every popular database like Graphite, Prometheus and InfluxDB.
As just about every statistics student can attest, Simpson's Paradox — a statistical phenomenon where an apparent trend is reversed when you look at subgroups — is notoriously hard to explain. You can look at examples — say, the fact that US wages are rising overall, but dropping within every educational group — but that don't really help to explain the paradox. But it's not really paradox at all, but simply the fact that the disparate rate at which members of the study join the subgroups isn't accounted for in the analysis. To demonstrate this effect, the Visualizing Urban Data...
P. Chapman, G. Stapleton, J. Howse, und I. Oliver. 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Seite 87-94. (September 2011)
S. Jänicke, T. Efer, M. Büchler, und G. Scheuermann. Computer Vision, Imaging and Computer Graphics - Theory and Applications, Seite 153--171. Cham, Springer International Publishing, (2015)
S. Jänicke, T. Efer, M. Büchler, und G. Scheuermann. Computer Vision, Imaging and Computer Graphics - Theory and Applications, Seite 153--171. Cham, Springer International Publishing, (2015)