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Data Management in R

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students;

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Data Management in R

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students;

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Univariate Bivariate & Multivariate Stat

A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;

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Concepts of Database Management

security, and big data. Completely updated to SQL Server 2016, Microsoft (R) Access 2016, and Office 365 standards, this edition explores SQL in a;

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Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users;

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Using R for Data Management, Statistical Analysis, and Graphics

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without;

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Big Data Analytics with R

its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce;

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R for Conservation and Development Projects

Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage;

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R for Conservation and Development Projects

Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage;

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R For Dummies 2Nd Edition

environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array;

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Handbook of Qualitative Research Methods on Human Resource Management

invaluable tool for students, researchers and academics in the field of human resource management. Contributors: P. Ackers, S. Branch, R;

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Handbook of Qualitative Research Methods on Human Resource Management

invaluable tool for students, researchers and academics in the field of human resource management. Contributors: P. Ackers, S. Branch, R;

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SAS and R

between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management;

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Measuring Research and Development Expenditures in the U.S. Economy

uses of NSF's R&D data by a variety of users, the goals of an integrated system of surveys and other data collection activities, and the;

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Spatial Data Management

Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric;

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Statistics Using R

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable;

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Big Data

Data management from an R&D perspective. It covers the 3S designs-storage, sharing, and security-through detailed descriptions of Big Data;

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Big Data

Data management from an R&D perspective. It covers the 3S designs-storage, sharing, and security-through detailed descriptions of Big Data;

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The R Primer

of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems;

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R in Action

, R's extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management;

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Concepts of Database Management

, data integrity, normalization, concurrent updates, data security and big data. Completely updated content reflects Microsoft (R) Access 2019;

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Hands-On Geospatial Analysis with R and QGIS

Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming;

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Data Mining and Business Analytics with R

and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and;

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Entity Information Life Cycle for Big Data

achieve master data management (MDM) in the era of big data. This book explains big data's impact on MDM and the critical role of entity;

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Introduction to Logistics Systems Management - With Microsoft (R) Excel (R) and Python examples 3e

INTRODUCTION TO LOGISTICS SYSTEMS MANAGEMENT The updated new edition of the award-winning introductory textbook on logistics system;

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R Data Science Essentials

Learn the essence of data science and visualization using R in no time at all About This Book * Become a pro at making stunning;

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Statistical Methods for Hospital Monitoring with R

mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and;

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