An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)

Price: $84.89
(as of Jan 19,2025 12:11:09 UTC – Details)

Publisher ‏ : ‎ Springer; 1st ed. 2020 edition (July 28, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 292 pages
ISBN-10 ‏ : ‎ 3030489965
ISBN-13 ‏ : ‎ 978-3030489960
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 6.1 x 0.66 x 9.25 inches

Are you interested in learning how to analyze data using R? Look no further! In this post, we will provide you with a comprehensive introduction to data analysis in R, covering hands-on coding, data mining, visualization, and statistics from scratch.

R is a powerful programming language and software environment for statistical computing and graphics. It is widely used by data scientists, statisticians, and researchers for analyzing and visualizing data. Whether you are a beginner or an experienced programmer, learning R can help you unlock the full potential of your data analysis projects.

In this post, we will cover the basics of R programming, including data structures, functions, and packages. We will also walk you through the process of importing, cleaning, and manipulating data using R. Additionally, we will explore data mining techniques, such as clustering and classification, to uncover patterns and relationships in your data.

Furthermore, we will demonstrate how to create insightful data visualizations, including bar plots, scatter plots, and heatmaps, using popular R packages like ggplot2 and plotly. Finally, we will introduce you to statistical analysis in R, covering hypothesis testing, regression analysis, and ANOVA.

By the end of this post, you will have a solid foundation in data analysis in R and be equipped with the skills to tackle your own data projects. So let’s get started and unleash the power of R for your data analysis needs!
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