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Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language;
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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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to apply useful data analysis techniques in R for real-world applications * An easy-to-follow guide to make the life of data scientist;
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Over 80 recipes to help you breeze through your data analysis projects using R About This Book * Analyse your data using the popular R;
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in learning effective data visualization techniques with R and a wide-range of its associated libraries.;
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perform practical research and analysis in computational biology with R. You will learn how to effectively analyze your data with the latest tools;
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instructions, rather than explaining data mining concepts with SSAS. If you are a BI or ETL developer using SQL Server Analysis services to build OLAP;
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features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the;
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data analysis. A good understanding of data sets and functional programming is assumed.;
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Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;
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applying basic and specific statistical tools to the cross-national analysis of data. It exposes the cross-national analysis to comparative;
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applying basic and specific statistical tools to the cross-national analysis of data. It exposes the cross-national analysis to comparative;
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This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this;
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This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this;
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This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality;
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of eight highly reviewed books Who This Book Is For This book teaches Python data analysis at an intermediate level with the goal;
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statistical tools. You'll start by implementing data modeling, data analysis, and machine learning to solve real-world problems. You'll then;
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R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book;
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Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;
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If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;
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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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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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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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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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