The blog post will be one of a few posts that focus on Graphical Theory based on some standard texts in the area.
Only 1 left in stock - order soon. Scientific visualization.#1Bestseller in [pdf] [tuebl] [kindle] [epub] [mobi] [audiobook], #1Bestseller in [pdf] [tuebl] [kindle] [epub] [mobi] [audiobook], 'This is about gob-smacking science at the far end of reason ... Take it nice and easy and savour the experience of your mind being blown without recourse to hallucinogens' Nicholas Lezard, Guardian For most people, quantum theory is a byword for mysterious, impenetrable science. How to produce and consume evidence presentations.#1Bestseller in [pdf] [tuebl] [kindle] [epub] [mobi] [audiobook], Display of information for paper and computer screens; principles of information design, design of presentations. Although sadly, this is generally associated with his extreme example show in figure 4, his ideas and recommendations have merit.
Paperback edition of Edward Tufte's classic book on statistical charts, graphs, and tables, The Visual Display of Quantitative Information.
This blog post will be serving as a dumping ground for thoughts on the text, including graphics and potential sketches of extensions.Before presenting these points, Tufte answers 2 questions: As Niels Bohr said, if you weren't shocked by quantum theory, you didn't really understand it.
In statistical graphics we may be more prone to see this type of direct distortion from manipulation of axes (which can be acceptable if they are pointed out) and incorrect treatment of the data points themselves.Relative to incorrect treatment of the data points, implicit distortion of true changes across time or across different groups in
Before reading Tufte’s book “The Visual Display of Quantitative Information”, I always saw Tufte as someone that presented views on graphics that were a little too extreme for my taste, largely a thinker reacting to horrible graphics of the time, and not a thinker that would be remembered for much beyond that.
WELCOME, LET THE FUN BEGIN! l Book Reviews THE VISUAL DISPLAY OF QUANTITATIVE INFORMATION BY EDWARD R. RUFTE Graphics Press, Cheshire, Connecticut. Figure 6: An example where a complex data set (votes on the president per demographic group) has the potential to best be presented in a table. 'Bohr brainwashed a whole generation of physicists into believing that the problem had been solved', lamented the Nobel Prize-winning physicist Murray Gell-Mann. \text{data density of a graphic} = \frac{\text{number of entries in data matrix}}{\text{area of data graphic}}
Review of Tufte’s "The Visual Display of Quantitative Information"\[\text{Lie Factor} = \frac{\text{size of effect shown in graphic}}{\text{size of effect in data}}\]\[
Quantum theory is weird. Figure 3: Shrinking Doctor Graphic from LA Times. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition. Depicting evidence relevant to cause and effect, decision making.
Now that I’ve read his text I have a much larger appreciation for this thoughts.Below I’ve summarized these sections. 197 pages.
Figure 1: Anscombe Data, 4 different datasets with same linear regression estimation (Beta, Sigma, and R^2), Distortion in graphics comes in many shapes and sizes.
It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. The Fundamental Principles of Analytical Design Good graphics exemplify the principle of analytical design . Graphical Displays Should : show the data tell the truth help the viewer think about the information rather than the design encourage the eye to compare the data make large data sets coherent.
Get e-Books "The Visual Display Of Quantitative Information" on Pdf, ePub, Tuebl, Mobi and Audiobook for FREE.There are more than 1 Million Books that have been enjoyed by people from all over the world. To put an attractive display into a report, one should (1) make sure the caption for the graphic helps the reader’s eye understand the graphic and avoid forcing the reader to jump back and forth with the real text and (2) make sure to put enough text and labels in the graphic for the reader to quickly pick up relevant points (3) make sure the graphics are included close to the text that is related to it (I’m talking to you This chapter also comes back to the idea that the best form to express information might be even be a table (I really appreciated figure 6’s table as a non-trivial example of this).
But in "Quantum", Kumar brings Einstein back to the centre of the quantum debate. About Source code and data analysis scripts for a graphical perception study focusing on the visual display of quantitative ranges on mobile devices. And yet for many years it was equally baffling for scientists themselves.
Always update books hourly, if not looking, search in the book search column. $30.00. This is more addressed in section 4.For the reader interested in cool applications / recommendations that follow this reduction of redundant data-ink, Tufte does propose good ideas to convert graphics like box plots to more simplistic graphics (see figure 5) and redesigns of scatter plots (keeping the actual points) is pretty smart use of the principles (chapter 6). To avoid unnecessary ink on graphics, Tufte proposed the following metric :Figure 4 was just an example of reducing unnecessary ink (redundant) to make the amount of ink in the graphic minimalist.Tufte generally recommends that one “maximize(s) the data-ink ratio, What doesn’t come out immediately is that this kind of redundant and unnecessary ink can naturally be added by standard computer graphics packages like … at least a few computer grpahics only evoke the response “Isn’t it remarkable that the computer can be programmed to draw like that?” instead of “My, what interesting data.” (pg 120)This can manifest itself with the example provided above as well as excessive number of axis markings (even where no data points lie) and the interest in creating “pretty graphics” when a table might do better.