“

My interpretation of [Leland Wilkinson’s] grammar [of statistical graphics]:

—**Data** is the most important thing, and the thing that you bring to the table.

—Geometric objects … what you actually **see** on the plot: points, lines, polygons, etc.

—**Statistics transform the data** in many useful ways. For example, binning and counting to create a histogram. They are optional, but very useful.

—Scales map values in the **data space** to values in an **aesthetic space**, whether it be colour, or size, or shape. Scales also provide an inverse mapping: a legend.

—A coordinate system describes **how data coordinates are mapped to the plane of the graphic**. It also provides axes and gridlines to make it possible to read the graph.

— A facetting, or **conditioning**, speci

”

– *
*

*Hadley Wickham*

*
*

*Related*

To

**leave a comment** for the author, please follow the link and comment on his blog:

** Isomorphismes**.

R-bloggers.com offers

**daily e-mail updates** about

R news and

tutorials on topics such as: visualization (

ggplot2,

Boxplots,

maps,

animation), programming (

RStudio,

Sweave,

LaTeX,

SQL,

Eclipse,

git,

hadoop,

Web Scraping) statistics (

regression,

PCA,

time series,

trading) and more...

If you got this far, why not

__subscribe for updates__ from the site? Choose your flavor:

e-mail,

twitter,

RSS, or

facebook...

**Tags:** chart, Data, econometrics, ggplot2, graphics, Hadley Wickham, Leland Wilkinson, plot, R, Statistical graphics, statistics, visualisation