The Visual Display of Quantitative Information download

The Visual Display of Quantitative Information by Edward R. Tufte (Author). The classic ebook on statistical graphics, charts, tables. Principle and apply in the design of information graphics, 250 illustrations of the very best (and some of the worst) statistical graphics, with detailed analysis of methods to display information for exact, efficient, fast analysis. Design of the high-resolution shows, small multiples. Modifying and improving graphics. The information-ink ratio. Time-series, relational graphics, information maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and information graphical displays. This is the second edition of The Visible Display of Quantitative Information. Lately revealed, this new version offers glorious shade reproductions of the various graphics of William Playfair, adds coloration to different pictures, and contains all of the changes and corrections amassed throughout 17 printings of the first edition.

I used to be a kind of chart-makers who used shade simply because I might, even when it was unnecessary and even inappropriate. This guide modified the way I checked out graph-making. His concepts of knowledge per unit of ink (which needs to be maximized), and making an attempt to make each droplet of ink convey one thing helpful had been extremely useful, as were his suggestions to attenuate distractions and phony three-D effects.

This, and his second guide, "Envisioning Data" are must-reads for anyone designing computer statistical tools (like I was) or simply attempting to transform uncooked data into meaningful graphs, maps, etc.

Tufte presents an examination of a frankly below-esteemed methodology of information evaluation that may be accurately described as passionate. As a Behavioral Scientist educated in subtle methods of statistical evaluation, I previously was arrogantly inclined to treat charts and graphs as simplistic and naive approaches to data interpretation. Nevertheless, I now apprehend the plain utility of graphical representation, and have acquired a fascination with the sector by means of Tufte's contagious enthusiasm.

In case you work with data of any type, it is IMPERATIVE that you simply learn this book. 

The Visual Display of Quantitative Information 

 Edward R. Tufte (Author)

200 pages

Graphics Pr; 2nd edition (May 2001)

 More details about this books.