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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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Data Visualization

research findings. Provides hands-on instruction using R and ggplot2 Shows how the tidyverse of data analysis tools makes working with;

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Data Visualization

research findings. Provides hands-on instruction using R and ggplot2 Shows how the tidyverse of data analysis tools makes working with;

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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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Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this;

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Hands-On Data Science for Biologists Using Python

of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting;

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Hands-On Data Science for Biologists Using Python

of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting;

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R

generate meaningful visualizations of the data * Generate various plots in R using the basic R plotting techniques * Create presentations and;

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R Visualizations

graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be;

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R Visualizations

graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be;

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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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Modern Statistics for Modern Biology

covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component;

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R In A Nutshell

for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to;

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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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Comparative Approaches to Using R and Python for Statistical Data Analysis

visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression''--;

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Data Analysis and Visualization Using Python

Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.;

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Spatial Analysis with R

: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab;

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Exploratory Multivariate Analysis by Example Using R

components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading;

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Data Analytics and Visualization in Quality Analysis using Tableau

practitioners perform effective quality control and analysis using Tableau, a user-friendly data analytics and visualization software. It begins with a;

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Learning Predictive Analytics with R

Get to grips with key data visualization and predictive analytic skills using R About This Book * Acquire predictive analytic skills;

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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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An Introduction to Data Analysis in R

This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics;

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R In A Nutshell

comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it;

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R in a Nutshell

comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it;

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RStudio for R Statistical Computing Cookbook

the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this;

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