By T. Hastie, R. Tibshirani, J. H. Friedman

In past times decade there was an explosion in computation and knowledge know-how. With it has come massive quantities of knowledge in numerous fields similar to drugs, biology, finance, and advertising. The problem of knowing those facts has ended in the advance of latest instruments within the box of records, and spawned new components equivalent to information mining, computer studying, and bioinformatics.Many of those instruments have universal underpinnings yet are frequently expressed with diverse terminology. This e-book descibes theimprtant principles in those parts ina universal conceptual framework. whereas the technique is statistical, the emphasis is on strategies instead of arithmetic. Many examples are given, with a liberal use of colour snap shots. it may be a vluable source for statisticians and a person drawn to info mining in technology or industry.The book's assurance is wide, from supervised learing (prediction) to unsupervised studying. the numerous issues contain neural networks, aid vector machines, class timber and boosting - the 1st entire remedy of this subject in any book.Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of facts at Stanford college. they're popular researchers during this quarter: Hastie and Tibshirani constructed generalized additive versions and wrote a favored booklet of that identify. Hastie wrote a lot of the statistical modeling software program in S-PLUS and invented vital curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very winning An advent to the Bootstrap. Friedman is the co-inventor of many data-mining instruments together with CART, MARS, and projection pursuit.

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Thousand Oaks, CA: Sage. 1002/ev DATA VISUALIZATION AND EVALUATION 31 Kosara, R. (2007, July). Visualization criticism—The missing link between information visualization and art. Information Visualization, IV’07. 11th International Conference (pp. 631–636). 2 Nightingale, F. (1857). Mortality of the British army. London, England: Harrison and Sons. Paleo, L. (2012, October). Adhesive formats for data collection—Practice and validity of dots, stickers, and labels. Paper presented at the meeting of the American Evaluation Association, Minneapolis, MN.

Final Thoughts The last 15 years have given evaluators some new variations of old chart standards and the software necessary to start using new chart types. All of the examples in part one were created with the use of technology that is either freely available to, or widely used by, evaluators. More importantly though, because of the Web, evaluators are no longer limited to presenting only the material that can fit on a static page. It is now possible to deliver large complex data sets in a format approachable for a wide array of stakeholders.

The map can pan and zoom to show individual locations. 8). The Education Nation Scorecard. Quantitative data are best understood when they are placed within context, but the context for a school superintendent is very different from the context for a parent. This poses a challenge for evaluators who have a responsibility to present data to a wide audience. A 95% pass rate for 4th-grade reading tests sounds good, but how does it compare to overall rates in the county and state? 9. Education Nation Scorecard—School View child’s school compare to those in surrounding neighborhoods?

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