- #Visual displays of quantitative information how to#
- #Visual displays of quantitative information series#
have a properly chosen format and design.Attractive displays of statistical information:.Graphical elegance is often found in the simplicity of design and complexity of data.Aesthetics and Technique in Data Graphics Design.Small multiples reflect much of the theory of data graphics:.often narrative in content, showing shifts in the relationship between variables as the index variable changes (thereby revealing the interaction of multiplicative effects).Forgo chartjunk, including moire vibration, the grid (use gray grids), and the duck.
The principles apply to many graphics and yield a series of design options through cycles of graphical revision and editing
Five principles in the theory of data graphics produce substantial changes in graphical design. graphics must not quote data out of context. the number of information-carrying (variable) dimensions depicted should not exceed the number of dimensions in the data. in time-series displays of money, deflated and standardized units of monetary measurement are nearly always better than nominal units. show data variation, not design variation. Write out explanations of the data on the graphic itself. clear, detailed, and thorough labeling should be used to defeat graphical distortion and ambiguity. the representation of numbers, as physically measured on the surface of the graphic itself, should be directly proportional to the numerical quantities represented. Graphical integrity is more likely to result if these 6 principles are followed:. Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space. Graphical excellence consists of complex ideas communicated with clarity, precision, and efficiency. Graphical excellence is the well-designed presentation of interesting data – a matter of substance, of statistics, of design. Excellence, nearly always of a multivariate sort, is illustrated here for fundamental graphic designs: data maps, time-series, space-time narrative purposes, providing a set of high-quality graphics that can be discussed in constructing a theory of data graphics. be closely integrated with the statistical and verbal descriptions of a data set. 
serve a reasonably clear purpose: description, exploration, tabulation, or decoration. reveal the data at several levels of detail, from a broad overview to the fine structure. encourage the eye to compare different pieces of data. avoid distorting what the data have to say. induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production, or something else. Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency. The design of statistical graphics is a universal matter – like mathematics – and is not tied to the unique features of a particular language. 
But it is also about how to communicate information through the simultaneous presentation of words, numbers, and pictures.
This is a book about the design of statistical graphics and, as such, it is concerned both with design and with statistics. The bank officer said this was the second most unusual loan that she had ever made first place belonged to a loan to a circus to buy an elephant! 
So I sought to self-publish…To finance the book, I took out another mortgage on my home. Publishers seemed appalled at the prospect that an author might govern design. I sought to make this book self-exemplifying – that is, the physical object itself would reflect the intellectual principles advanced in the book.
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