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Hands-On Exploratory Data Analysis with R

Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;

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R Data Analysis Cookbook -

reporting with Shiny * Get started with geospatial analysis * Handling large data with R using Spark and MongoDB * Build Recommendation system;

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R

will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data - this provides you with all;

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Graphical Data Analysis with R

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;

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Graphical Data Analysis with R

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;

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Data Science in Education Using R

does a data analysis project in education look like? If you're just getting started with R in an education job, this is the book you'll;

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Data Science in Education Using R

does a data analysis project in education look like? If you're just getting started with R in an education job, this is the book you'll;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R;

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Spatial Data Analysis in Ecology and Agriculture Using R

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;

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R and Python for Oceanographers

on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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R for Data Science Cookbook

encountered while performing data analysis. Style and approach This easy-to-follow guide is full of hands-on examples of data analysis with R;

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RStudio for R Statistical Computing Cookbook

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book;

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R and Data Mining

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for;

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Mastering Spark with R The Complete Guide to LargeScale Analysis and Modeling

, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics;

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Statistical Analysis of Microbiome Data with R

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world;

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Statistics and Data Analysis for Microarrays Using R and Bioconductor

Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for;

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R in Action

expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the;

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Basic Data Analysis for Time Series with R

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative;

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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;

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Applied Econometrics Using the SAS System

The first cutting-edge guide to using the SAS(R) system for the analysis of econometric data Applied Econometrics Using the SAS(R) System;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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Spatial Analysis with R

, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth;

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Multivariate Analysis of Ecological Data with Ade4

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data.;

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