What you’ll learn A rich understanding of how to gather, and analyze empirical data How to tell a story with data using data visualizations What types of data visualizations are best to use for the story that you want to tell with your ...
Author: Tom Barker
Annink, Ed / Bruinsma, Max (Ed.) (2010): Gerd Arntz, Graphic Designer.
Rotterdam: NAi 010 Publishers. Barker, Tom (2013): Pro Data Visualization
Semiology of Graphics: ...
Author: Thomas Rahlf
Publisher: Springer Nature
Monitoring and Visualization Tom Barker. Another language we will use quite a
bit is R, which is both a language and the environment that runs the language,
and it is used to run statistical calculations and chart data that you import or
Author: Tom Barker
You will: Acquire and install R and RStudio Import and export data from multiple file formats Analyze data and generate graphics (including confidence intervals) Interactively conduct hypothesis testing Code multiple and moderated ...
Author: Matt Wiley
Learn how to use R 4, write and save R scripts, read in data files, use built-in functions, and write custom statistical functions. This in-depth tutorial includes key R 4 features such as a new color palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects will formally inherit from the array class, eliminating many inconsistencies. Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, a list of specific cited references for more reading, and some exercises to test your new knowledge. The text opens with a hands-on installation of R (and a limited number of packages) for both Windows and macOS. The bulk of the book is an introduction to statistical methods (a non-proof-based introduction) that relies heavily on R (and R visualizations) to understand, motivate, and perform statistical outcomes. Beginning R 4 shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. Additionally, the text comprehensively includes learning outcomes for Texas common course number Math 1342 (elementary statistical methods). What You Will Learn Acquire and install R Import and export data and scripts Analyze data and generate graphics Program in R to write custom functions Use R for interactive statistical explorations Conduct bootstrapping and other advanced techniques Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended.
Category: Mathematical statistics
Author: Institute of Electrical and Electronics Engineers
Category: Electrical engineering
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Author: Rajgopal Sundaraj Acharya
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Author: Donald G. Frey
Publisher: American Institute of Physics
In recent years the field of nuclear medicine has been undergoing a renaissance. The widespread application of SPECT imaging and slow diffusion of PET techniques have revitalized nuclear imaging. At the same time rapid developments in radiopharmaceuticals have produced new imaging methods. These developments have increased the need for well-trained medical physicists to work in the university setting and to assist smaller hospitals with implementing these techniques.
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Author: IEEE Global Telecommunications Conference
Category: Technology & Engineering
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Author: IEEE Computer Society. Technical Committee on Parallel Processing
Contains 113 papers presented at the April 1999 meetings. Arrangement is in 21 sections covering such topics as: algorithmic paradigms and primitives; latency tolerance and performance modeling; communication, run-time systems; scalable computing; communication and protocols for clusters; communication libraries; routing and broadcasting; miscellaneous architecture; advanced software for applications support; scientific engineering systems; signal processing; data mining and databases; and biological and discrete systems. Also included are abstracts of the panel discussions and the two keynote addresses from each of the symposiums. No subject index. Annotation copyrighted by Book News, Inc., Portland, OR
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Author: American Chemical Society. Committee on Professional Training
Faculties, publications and doctoral theses in departments or divisions of chemistry, chemical engineering, biochemistry and pharmaceutical and/or medicinal chemistry at universities in the United States and Canada.
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Category: Power resources
Includes all works deriving from DOE, other related government-sponsored information and foreign nonnuclear information.
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Author: Vipin Kumar
Consists of 72 full papers and 49 short papers from the December 2002 conference on the design, analysis, and implementation of data mining theory, systems, and applications. Topics of the full papers include evolutionary time series segmentation for stock data mining, cluster merging and splitting