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Author : National Space Science Data Center
Publisher : Unknown
Page : 292 pages
File Size : 49,7 Mb
Release : 1978
Category : Astronomy
ISBN : PSU:000005683468
Author : Anonim
Publisher : Unknown
Page : 36 pages
File Size : 42,5 Mb
Release : 1990
Category : Computer files
ISBN : UIUC:30112101045869
Author : Peter Krogh
Publisher : "O'Reilly Media, Inc."
Page : 496 pages
File Size : 43,8 Mb
Release : 2009-04-27
Category : Photography
ISBN : 9781449343712
One of the main concerns for digital photographers today is asset management: how to file, find, protect, and re-use their photos. The best solutions can be found in The DAM Book, our bestselling guide to managing digital images efficiently and effectively. Anyone who shoots, scans, or stores digital photographs is practicing digital asset management (DAM), but few people do it in a way that makes sense. In this second edition, photographer Peter Krogh -- the leading expert on DAM -- provides new tools and techniques to help professionals, amateurs, and students: Understand the image file lifecycle: from shooting to editing, output, and permanent storage Learn new ways to use metadata and key words to track photo files Create a digital archive and name files clearly Determine a strategy for backing up and validating image data Learn a catalog workflow strategy, using Adobe Bridge, Camera Raw, Adobe Lightroom, Microsoft Expression Media, and Photoshop CS4 together Migrate images from one file format to another, from one storage medium to another, and from film to digital Learn how to copyright images To identify and protect your images in the marketplace, having a solid asset management system is essential. The DAM Book offers the best approach.
Author : Anonim
Publisher : Unknown
Page : 464 pages
File Size : 48,6 Mb
Release : 1976
Category : Computer software
ISBN : OSU:32435023188469
Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
Page : 275 pages
File Size : 51,7 Mb
Release : 2015-03-26
Category : Computers
ISBN : 9781491910542
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language. Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure. Learn about the most useful components of an R package, including vignettes and unit tests Automate anything you can, taking advantage of the years of development experience embodied in devtools Get tips on good style, such as organizing functions into files Streamline your development process with devtools Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN) Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr
Author : Anonim
Publisher : Unknown
Page : 298 pages
File Size : 46,6 Mb
Release : 1982
Category : Data libraries
ISBN : MINN:31951T00213678F
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 41,6 Mb
Release : 1983
Category : Electronic
ISBN : OCLC:1331013456
Author : Rafael A. Irizarry
Publisher : CRC Press
Page : 794 pages
File Size : 48,5 Mb
Release : 2019-11-20
Category : Mathematics
ISBN : 9781000708035
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Author : Anonim
Publisher : Unknown
Page : 394 pages
File Size : 53,8 Mb
Release : 1975
Category : Bibliographical services
ISBN : STANFORD:36105117274444
Author : United States. Bureau of the Census
Publisher : Unknown
Page : 370 pages
File Size : 51,8 Mb
Release : 1985
Category : Government publications
ISBN : UIUC:30112100651956
Includes subject area sections that describe all pertinent census data products available, i.e. "Business--trade and serivces", "Geography", "Transportation", etc.
Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 44,6 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368
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
Author : Ocean Drilling Program
Publisher : Unknown
Page : 500 pages
File Size : 40,7 Mb
Release : 1996
Category : Borings
ISBN : OSU:32435057291726
Author : Victor Aladjev,Vjacheslav Vaganov
Publisher : Lulu.com
Page : 565 pages
File Size : 51,5 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 9781329199972
Author : Alan J. Bleasby,Jon C. Ison,Peter M. Rice
Publisher : Cambridge University Press
Page : 175 pages
File Size : 50,9 Mb
Release : 2011-06-16
Category : Science
ISBN : 9781139497923
The European Molecular Biology Open Software Suite (EMBOSS) is a high quality package of open source software tools for molecular biology. It includes over 200 applications integrated with a range of popular third party software packages under a consistent and powerful command line interface. The tools are available from a wide range of graphical interfaces, including easy to use web interfaces and powerful workflow software. The EMBOSS Administrator's Guide is the official, definitive and comprehensive guide to EMBOSS installation and maintenance: • Find all the information needed to configure, install and maintain EMBOSS, including recent additions for version 6.2 • Step-by-step instructions with real-world examples - saves readers time and helps them avoid the pitfalls on all the common platforms • In-depth reference to database configuration - learn how to set up and use databases under EMBOSS • Includes EMBOSS Frequently Asked Questions (FAQ) with answers - quickly find solutions to common problems
Author : Monika Wahi
Publisher : Packt Publishing Ltd
Page : 494 pages
File Size : 46,6 Mb
Release : 2020-10-16
Category : Computers
ISBN : 9781789531183
Build a strong foundation in SAS data warehousing by understanding data transformation code and policy, data stewardship and management, interconnectivity between SAS and other warehousing products, and print and web reporting Key FeaturesUnderstand how to use SAS macros for standardizing extract, transform, and load (ETL) protocolsDevelop and use data curation files for effective warehouse managementLearn how to develop and manage ETL, policies, and print and web reports that meet user needsBook Description SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’. This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience. By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS. What you will learnDevelop efficient ways to manage data input/output (I/O) in SASCreate and manage extract, transform, and load (ETL) code in SASStandardize ETL through macro variables, macros, and arraysIdentify data warehouse users and ensure their needs are metDesign crosswalk and other variables to serve analyst needsMaintain data curation files to improve communication and managementUse the output delivery system (ODS) for print and web reportingConnect other products to SAS to optimize storage and reportingWho this book is for This book is for data architects, managers leading data projects, and programmers or developers using SAS who want to effectively maintain a data lake, data mart, or data warehouse.
