en-US Thu, 10 Aug 2017 10:09:02 -0700 60 144 41 /images/layout/goodreads_logo_144.jpg 18902869
This step-by-step guide is ideal whether you’re a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.

Learn HTML, CSS, JavaScript, and SVG basicsDynamically generate web page elements from your data—and choose visual encoding rules to style themCreate bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layoutsUse smooth, animated transitions to show changes in your dataIntroduce interactivity to help users explore data through different viewsCreate customized geographic maps with dataExplore hands-on with downloadable code and over 100 examples]]> 360 Scott Murray 1449340237 Samson 4 data 3.69 2013
author: Scott Murray
name: Samson
average rating: 3.69
book published: 2013
rating: 4
read at: 2017/08/10
date added: 2017/08/10
shelves: data
review:

]]> 8360735 530 Philipp K. Janert 0596802358 Samson 4 data 4.08 2010
author: Philipp K. Janert
name: Samson
average rating: 4.08
book published: 2010
rating: 4
read at:
date added: 2014/08/01
shelves: data
review:

]]> 3415209 High-speed computers and prepackaged statistical routines would seem to take much of the guesswork out of statistical analysis and lend its applications readily accessible to all. Yet, as Phillip Good and James Hardin persuasively argue, statistical software no more makes one a statistician than a scalpel makes one a surgeon. Choosing the proper technique and understanding the analytical context is of paramount importance to the proper application of statistics. The highly readable Common Errors in Statistics (and How to Avoid Them) provides both newly minted academics and professionals who use statistics in their work with a handy field guide to statistical problems and solutions.
Good and Hardin begin their handbook by establishing a mathematically rigorous but readily accessible foundation for statistical procedures. They focus on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. A handy checklist is provided to summarize the necessary steps.
Topics covered
* Creating a research plan
* Formulating a hypothesis
* Specifying sample size
* Checking assumptions
* Interpreting p-values and confidence intervals
* Building a model
* Data mining
* Bayes' Theorem, the bootstrap, and many others
Common Errors in Statistics (and How to Avoid Them) also contains reprints of classic articles from statistical literature to re-examine such bedrock subjects as linear regression, the analysis of variance, maximum likelihood, meta-analysis, and the bootstrap. With a final emphasis on finding solutions and on the great value of statistics when applied in the proper context, this book will prove eminently useful to students and professionals in the fields of research, industry, medicine, and government.]]> 240 Phillip I. Good 0471460680 Samson 3 data 3.50 2003
author: Phillip I. Good
name: Samson
average rating: 3.50
book published: 2003
rating: 3
read at:
date added: 2014/07/07
shelves: data
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]]> 1102716
Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently.

Discover how to improve the quality and efficiency of working systems with this highly-acclaimed book. This 6th ]]> Douglas C. Montgomery 047148735X Samson 4 data 4.10 1976
author: Douglas C. Montgomery
name: Samson
average rating: 4.10
book published: 1976
rating: 4
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date added: 2014/07/06
shelves: data
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]]> 11054622 384 Nathan Yau 0470944889 Samson 4 data 3.88 2011
author: Nathan Yau
name: Samson
average rating: 3.88
book published: 2011
rating: 4
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date added: 2014/03/06
shelves: data
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]]> 17744 This is the second edition of The Visual Display of Quantitative Information. 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.]]> 197 Edward R. Tufte 0961392142 Samson 5 data 4.39 1983
author: Edward R. Tufte
name: Samson
average rating: 4.39
book published: 1983
rating: 5
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date added: 2014/03/06
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]]> 336258 224 Stephen Few 0596100167 Samson 4 data 3.96 2010
author: Stephen Few
name: Samson
average rating: 3.96
book published: 2010
rating: 4
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date added: 2014/03/06
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]]> 411722 The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.]]> 462 Larry Wasserman 0387402721 Samson 5 data 4.24 2003
author: Larry Wasserman
name: Samson
average rating: 4.24
book published: 2003
rating: 5
read at:
date added: 2014/03/06
shelves: data
review:

]]> 543936 280 Stephen Few 0970601999 Samson 4 data 3.90 2004
author: Stephen Few
name: Samson
average rating: 3.90
book published: 2004
rating: 4
read at:
date added: 2013/12/16
shelves: data
review:

]]> 51291 142 Darrell Huff 0393310728 Samson 3 data 3.82 1954
author: Darrell Huff
name: Samson
average rating: 3.82
book published: 1954
rating: 3
read at:
date added: 2013/12/11
shelves: data
review:

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