By S. Sastry, M. Bodson
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Extra info for Adaptive Control -Stability, Convergence, and Robustness
As you can see, the difference is subtle and may not be easily distinguishable to many viewers. Figure 2-5. Color image representing the difference between 45% and 55% in a color visualization If you’re creating a visualization in which it is important for viewers to be able to distinguish between data points at 45% and 55%, you may need to alter the points at which the colors change or steer away from using color as your primary representation method. A word should also be put in for those who suffer from colorblindness, which affects nearly 1 out of 10 individuals.
In the interest of simplicity, we’ll display only countries responsible for a certain minimum (1,000+ vehicles) of either the traded-in or purchased cars. This means we should have maps for the United States, Japan, South Korea, Germany, Sweden, and the United Kingdom. Once we have images of the countries we want, we’re ready to size them for the final visualization. Building the Visual Having moved the visuals into an image-manipulation program, we need to size them so that they appropriately represent the proportions of vehicles traded in and purchased.
There are many good places to start looking at data. gov). This site houses an enormous collection of data, from migratory patterns of birds to patent bibliographies to Treasury rate statistics and federal budget data. com) for easy API access to huge sets of data including congressional votes, bestseller lists, article searches, movie reviews, real estate listings and sales in New York City, and more Once you have the raw data, you may want parse it, organize it, group it, or otherwise alter it so that you can identify patterns or extract the specific information you wish to portray.
Adaptive Control -Stability, Convergence, and Robustness by S. Sastry, M. Bodson
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