Data Manipulation Programs

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Data Manipulation with R

Author : Phil Spector
Publisher : Springer Science & Business Media
ISBN 13 : 0387747303
Total Pages : 158 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Data Manipulation with R by : Phil Spector

Download or read book Data Manipulation with R written by Phil Spector and published by Springer Science & Business Media. This book was released on 2008-03-19 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked within R, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programming constructs like loops are provided. Since many statistical modeling and graphics functions need their data presented in a data frame, techniques for converting the output of commonly used functions to data frames are provided throughout the book.

Computer Software for Spatial Data Handling: Data manipulation programs

Author :
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Computer Software for Spatial Data Handling: Data manipulation programs by :

Download or read book Computer Software for Spatial Data Handling: Data manipulation programs written by and published by . This book was released on 1980 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data manipulation programs

Author : International Geographical Union. Commission on Geographical Data Sensing and Processing
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (687 download)

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Book Synopsis Data manipulation programs by : International Geographical Union. Commission on Geographical Data Sensing and Processing

Download or read book Data manipulation programs written by International Geographical Union. Commission on Geographical Data Sensing and Processing and published by . This book was released on 1980 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Python for Data Analysis

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491957611
Total Pages : 553 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python for Data Analysis by : Wes McKinney

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

SAS Programming 2: Data Manipulation Techniques

Author : SAS Institute
Publisher : SAS Institute
ISBN 13 : 9781599949352
Total Pages : pages
Book Rating : 4.9/5 (493 download)

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Book Synopsis SAS Programming 2: Data Manipulation Techniques by : SAS Institute

Download or read book SAS Programming 2: Data Manipulation Techniques written by SAS Institute and published by SAS Institute. This book was released on 2007-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Art and Science of Analyzing Software Data

Author : Christian Bird
Publisher : Elsevier
ISBN 13 : 0124115438
Total Pages : 673 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis The Art and Science of Analyzing Software Data by : Christian Bird

Download or read book The Art and Science of Analyzing Software Data written by Christian Bird and published by Elsevier. This book was released on 2015-09-02 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. Presents best practices, hints, and tips to analyze data and apply tools in data science projects Presents research methods and case studies that have emerged over the past few years to further understanding of software data Shares stories from the trenches of successful data science initiatives in industry

Computer Programs for Qualitative Data Analysis

Author : Eben Weitzman
Publisher : SAGE Publications
ISBN 13 : 1452246777
Total Pages : 383 pages
Book Rating : 4.4/5 (522 download)

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Book Synopsis Computer Programs for Qualitative Data Analysis by : Eben Weitzman

Download or read book Computer Programs for Qualitative Data Analysis written by Eben Weitzman and published by SAGE Publications. This book was released on 1995-02-02 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: For those interested in finding a computer application well-suited for their own qualitative research or just learning more about the capabilities of the latest generation of computer software designed with text, Computer Programs for Qualitative Data Analysis by Eben A. Weitzman and Matthew B. Miles probably represents the single investment they can make. . . . In Computer Programs for Qualitative Data Analysis, Weitzman and Miles . . . provide a critical, in-depth look at 24 separate applications. The authors make an impressive team: Weitzman is a professor of social and organizational psychology with an extensive computer background, and Miles is a social psychologist who is well-known in the field of qualitative research for co-authoring a popular book on qualitative data analysis with A. Michael Huberman. Together, the two researchers have produced an informative, user-friendly sourcebook that can save readers a significant amount of time and money when shopping for a software program for qualitative data analysis. Weitzman and Miles clearly put a tremendous amount of work into Computer Programs for Qualitative Data Analysis; they write their reviews of each application in remarkably lucid and jargon-free language in a format reminiscent of Consumer Reports. The level of detail in the reviews reflects their careful and thoughtful field-testing of 24 software programs. Reviews average about 10 pages each and actually show you what each application can do, and every review includes a series of realistic visuals (complete with helpful captions) that display what the computer screen looks like when performing various functions with that specific computer program. In addition to describing the special features of each computer program, Weitzman and Miles discuss the strengths and weaknesses of every application and make explicit comparisons with other applications in the same ′family.′ "Sage Publications deserves special credit for their role in publishing Computer Programs for Qualitative Data Analysis. Instead of issuing this book in hardcover and attaching a hefty price tag, they released it as an oversized (81/2-by-11-inch) paperback and made this valuable information available at a modest cost. Computer Programs for Qualitative Data Analysis is the most comprehensive resource on its subject currently available, and is an excellent starting point for qualitative researchers interested in integrating computer technology more fully into their own data analysis strategies." --Harvard Educational Review "The book by Weitzman & Miles is one of many new books on computers and qualitative software and indeed a good one. . . . The book is truly a user′s book--one of the useful ones. . . . After this first feeling of self-confidence, I just kept on reading the book and found very thorough and illuminative reviews of no less that 24 computer programs for qualitative analysis. . . . Renata Tesch initiated the work of making it easier for us to survey the qualitative analysis methods--Weitzman & Miles carry on in the finest way." --Nyhedsbrer "Although the authors have a background in social and organizational psychology, their expertise on qualitative research methods is relevant to gerontologists. . . . The authors give a history of the use of computers in qualitative data analysis, describe the different types of programs, and suggest future directions, but the bulk of this book is reviews of the software out there. . . . Before you spend several hundred dollars on a software program, spend thirty and get this book." --T. L. Brink in Clinical Gerontologist "Eben A. Weitzman and Matthew B. Miles′s valuable sourcebook on computer programs is designed exclusively for those interested in qualitative data analysis. . . . For qualitative researchers who want to learn or update their knowledge of the use of computer software." --Choice "What program do I use to analyze my field notes? Eben A. Weitzman and Matthew B. Miles provide the information you need to make that decision intelligently: full descriptions, informed judgments, and helpful comparisons. Anyone who does fieldwork needs this book." --Howard Becker, Department of Sociology, University of Washington, Seattle "This will be the standard work of reference for several years to come. We owe the authors a considerable debt of gratitude for all the work they have put into reviewing such a comprehensive range of software. The result is incredibly lucid." --Paul Atkinson, University of Wales, Cardiff "The book is absolutely perfect for my situation. I don′t know how many readers will be in the position of purchasing software for respective labs, but those who are will be in for a real treat. The comprehensiveness of the reviews is more than adequate to determine whether a particular program meets the needs of an individual or group. . . . It is the most comprehensive book of its kind, for any kind of software, that I have ever seen." --Steven E. Wolfel, Research Publishing Consultant "Making decisions about choosing software for qualitative data analysis can be intimidating and I think this book will be an excellent resource for those of us who are involved in this type of research. I found this to be an extremely well-thought-out and informative resource book. The detail is wonderful." --Kathleen R. Gilbert, Indiana University, Bloomington Do you want to start, extend, or update your use of computer software for qualitative data analysis? If so, this clear and user-friendly guidebook is for you. Without assuming its reader has extensive computer experience, Computer Programs for Qualitative Data Analysis takes a critical yet practical look at the wide range of software currently available. It gives detailed reviews of 24 programs in five major categories (text retrievers, textbase managers, code-and-retrieve programs, code-based theory-builders, and conceptual network-builders) and gives ratings of more than 75 features per program. The authors also provide detailed guidance in operating each program. They help you to ask key questions about your computer use--the nature of your project, time line, analyses planned, and the worksheets required--to help you identify the programs best suited to your needs. Up-to-date and practical, Computer Programs for Qualitative Data Analysis is an absolute must-have book for any qualitative researcher who uses--or wants to use--computer programs in analyses.

R for Everyone

Author : Jared P. Lander
Publisher : Addison-Wesley Professional
ISBN 13 : 0134546997
Total Pages : 1456 pages
Book Rating : 4.1/5 (345 download)

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Book Synopsis R for Everyone by : Jared P. Lander

Download or read book R for Everyone written by Jared P. Lander and published by Addison-Wesley Professional. This book was released on 2017-06-13 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Author : Chester Ismay
Publisher : CRC Press
ISBN 13 : 1000763463
Total Pages : 461 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by : Chester Ismay

Download or read book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Digital Technologies and Applications

Author : Saad Motahhir
Publisher : Springer Nature
ISBN 13 : 3030738825
Total Pages : 1836 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Digital Technologies and Applications by : Saad Motahhir

Download or read book Digital Technologies and Applications written by Saad Motahhir and published by Springer Nature. This book was released on 2021-06-26 with total page 1836 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected research papers presented at the First International Conference on Digital Technologies and Applications (ICDTA 21), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 29–30 January 2021. highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of things, embedded systems, network technology, information processing, and their applications in several areas such as hybrid vehicles, renewable energy, robotic, and COVID-19. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Business Statistics For Dummies

Author : Alan Anderson
Publisher : John Wiley & Sons
ISBN 13 : 1118630696
Total Pages : 429 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Business Statistics For Dummies by : Alan Anderson

Download or read book Business Statistics For Dummies written by Alan Anderson and published by John Wiley & Sons. This book was released on 2013-11-26 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Score higher in your business statistics course? Easy. Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons. Business Statistics For Dummies tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics. Shows you how to use statistical data to get an informed and unbiased picture of the market Serves as an excellent supplement to classroom learning Helps you score your highest in your Business Statistics course If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.

Database Management and Oracle Programming

Author : Khandare S.S.
Publisher : S. Chand Publishing
ISBN 13 : 9788121922838
Total Pages : 394 pages
Book Rating : 4.9/5 (228 download)

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Book Synopsis Database Management and Oracle Programming by : Khandare S.S.

Download or read book Database Management and Oracle Programming written by Khandare S.S. and published by S. Chand Publishing. This book was released on 2004 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: For Examination in Engineering Degree, Diploma and B.Sc., M.Sc., B.E.(I.T.) and other Competitive Examinations.

Data Analysis Using SQL and Excel

Author : Gordon S. Linoff
Publisher : John Wiley & Sons
ISBN 13 : 0470952520
Total Pages : 698 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Data Analysis Using SQL and Excel by : Gordon S. Linoff

Download or read book Data Analysis Using SQL and Excel written by Gordon S. Linoff and published by John Wiley & Sons. This book was released on 2010-09-16 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.

Mastering Shiny

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149204735X
Total Pages : 372 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Mastering Shiny by : Hadley Wickham

Download or read book Mastering Shiny written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2021-04-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production

Using Software in Qualitative Research

Author : Ann Lewins
Publisher : SAGE
ISBN 13 : 9780761949237
Total Pages : 312 pages
Book Rating : 4.9/5 (492 download)

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Book Synopsis Using Software in Qualitative Research by : Ann Lewins

Download or read book Using Software in Qualitative Research written by Ann Lewins and published by SAGE. This book was released on 2007-05 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS), helping the reader choose the most appropriate package for their needs and to get the most out of the software once they are using it. This step-by-step book considers a wide range of tasks and processes, bringing them together to demystify qualitative software and encourage flexible and critical choices and uses of software in supporting analysis. The book can be read as a whole or by chapters, building on one another to provide a holistic sense of the analytic journey without advocating a particular sequential process. Accessible and comprehensive, Using Software in Qualitative Research provides a practical but analytically-grounded guide to thinking about and using software and will be an essential companion for any qualitative researcher.

SAS and R

Author : Ken Kleinman
Publisher : CRC Press
ISBN 13 : 1420070592
Total Pages : 325 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis SAS and R by : Ken Kleinman

Download or read book SAS and R written by Ken Kleinman and published by CRC Press. This book was released on 2009-07-21 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id