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About The Elements Of Graphing Data
Product Description Visualization methods in science and technology. Many new ideas and methods; many not widely known before. Excellent methodological resource for research workers. Review An excellent stimulus for deeper thinking about display techniques. --The American CartographerCertain kinds of tendency toward bad graphics could be cured if as many authors as possible would not just read, but, in the words of the Anglican Prayer Book, `learn, mark, and inwardly digest' this volume. --Atmospheric EnvironmentIdeally, everyone interested in getting the most out of their data or presenting data clearly and concisely should have a copy handy. --Meteorological MagazineIdeally, everyone interested in getting the most out of their data or presenting data clearly and concisely should have a copy handy. --Meteorological MagazineAn excellent stimulus for deeper thinking about display techniques. --The American CartographerIdeally, everyone interested in getting the most out of their data or presenting data clearly and concisely should have a copy handy. --Meteorological MagazineAn excellent stimulus for deeper thinking about display techniques. --The American CartographerIdeally, everyone interested in getting the most out of their data or presenting data clearly and concisely should have a copy handy. --Meteorological MagazineAn excellent stimulus for deeper thinking about display techniques. --The American Cartographer Ideally, everyone interested in getting the most out of their data or presenting data clearly and concisely should have a copy handy. --Meteorological Magazine An excellent stimulus for deeper thinking about display techniques. --The American Cartographer About the Author William S. Cleveland is the Shanti S. Gupta Distinguished Professor at Purdue University, and splits his time between the Statistics and Computer Science Departments. Throughout his career, he has worked in research areas --- statistical model building, local machine learning, visualization, time series, and data mining --- that have broadened the scope of research in learning from data. He has developed many methods of visualization, statitics, and machine learning that are widely used throughout the sciencetific community. Cleveland has published over 100 papers on his research in a wide range of scientific journals, books, and proceedings. His two books, The Elements of Graphing Data and Visualizing Data have been reviewed in many journals from a wide variety of disciplines, and Elements was selected for the Library of Science.
