Titlebook: Data Visualisation with R; 100 Examples Thomas Rahlf Book 20171st edition Springer International Publishing AG 2017 Statistical Software.Vi

壯觀的游行

FISC

Implementation in R Some packages offer more than a thousand functions. Some functions, such as the par() function so important for our topic, can receive more than 80 arguments. At the beginning, a system like this appears as hard to negotiate as a jungle or a maze.

玷污

喃喃而言

grandiose

Distributionson forms such as population pyramids or Lorenz curves. Obviously, not only populations can be shown in pyramids, and obviously an inequality, which is what a Lorenz curve commonly depicts, can be shown in a different form, too. We will therefore show alternative examples for both.

絕食

Time Seriesshort” time series. For this, we will also use columns. Then, we show how to plot areas below, between or above time series. In our experience, the presentation of daily, weekly or monthly values always proves a bit tricky; so we deal with those, too. The chapter concludes with special cases that ca

帳單

Conflict

Illustrative Exampleslogical value potentially lower than in the preceding chapters. After a table chart we visualise data of the “Better Life Index” and from GAPMINDER. Finally we show a variant on the “probably best statistical graphic of all times” (Edward Tufte), a map of Napoleon’s Russian campain in 1812/13, by Ch