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Statistics and Data Visualization Using R

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on;

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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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Introduction to Data Science

Covers the basics of R and the tidyverse Demonstrate how to use ggplot2 to generate graphs and describe important Data Visualization;

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Modern Statistics for Modern Biology

-quality figures using the power of R/Bioconductor and ggplot2. This book will teach you 'cooking from scratch', from raw data to beautiful;

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Spatial Analysis with R

learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second;

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An Introduction to Data Analysis in R

such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical;

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Beginning Data Science in R 4

. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for;

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Hands-On Time Series Analysis with R

using both descriptive statistics and rich data visualization tools in R such as the TSstudio, plotly, and ggplot2 packages. The later section;

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Data Points

graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and;

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Graphics for Statistics and Data Analysis with R

these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data;

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Graphics for Statistics and Data Analysis with R

Shang, Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles;

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Beginning Data Science in R 4

. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for;

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Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics

Social Survey (GSS) as a secondary data set. Using examples, tables, and actual SPSS (R) screen captures, it guides users through several;

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Spatio-Temporal Statistics with R

statistical methods using R Labs found at the end of each chapter. The book: Gives a step-by-step approach to analyzing spatio-temporal data;

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

using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the;

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

using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the;

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Statistical Computing with R

visualization of multivariate data, Monte Carlo integration and variance reduction methods, Monte Carlo methods in inference, bootstrap and jackknife;

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Pro Data Visualization using R and JavaScript

Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis;

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Learn R for Applied Statistics

data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics;

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software;

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Essentials of Data Science and Analytics

, data science uses visualization techniques using specially designed big data software and statistical programming language, such as R;

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Data Visualization

figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data;

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Data Visualization

figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data;

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Discovering Statistics Using R

the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the;

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Advanced Analytics with R and Tableau

analytics and visualization with the power of R using this step-by-step guide * Wondering how R can be used with Tableau? This book is your one;

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Using R for Introductory Statistics

authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly;

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