R Programming Fundamentals
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-
Free ChapterIntroduction to R
- Course Overview
- Installation and Setup
- Lesson Overview
- Using R, RStudio, and Installing Useful Packages
- Variable Types and Data Structures: Variable Types
- Variable Types and Data Structures: Data Structures
- Basic Flow Control
- Data Import and Export
- Getting Help with R
- RStudio Community, Stack Overflow, and the Rest of the Web
- Lesson Summary
-
Data Visualization and Graphics
- Introduction to Data Visualization and Graphics
- Creating Base Plots Part I
- Creating Base Plots Part II
- Creating Base Plots Part III
- ggplot2: Introduction
- ggplot2: Histogram and Bar Chart
- ggplot2: Scatterplots and boxplots
- ggplot2: Digging in aes(), and Facet Wrapping and Gridding
- ggplot2: Boxplot + coord_flip() and Adding Titles and Axis labels to ggplot2
- Interactive Plots
- Lesson Summary
-
Data Management
About this
video
R Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. To start with, you'll understand you how to set up R and RStudio, followed by exploring R packages, functions, data structures, control flow, and loops.
Once you have grasped the basics, you'll move on to studying data visualization and graphics. You'll learn how to build statistical and advanced plots using the powerful ggplot2 library. In addition to this, you'll discover data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values.
By the end of this course, you'll have completed an entire data science project of your own for your portfolio or blog.
The code bundle for this course is available at: https://github.com/TrainingByPackt/R-Programming-Fundamentals
- Publication date:
- October 2018
- Publisher
- Packt
- ISBN
Download code from GitHub
