Gain insights into using ggplot2 in R to create compelling visualizations. Learn about scatter plots, bar charts, customizing themes, and building interactive maps to enhance data storytelling.

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Data visualization in R using ggplot2 is an essential skill for data professionals and enthusiasts to efficiently discover and convey insights from datasets. Mastering ggplot2 allows you to uncover hidden patterns and trends in data, boosting decision-making and storytelling for a wide range of audiences. 

In this comprehensive course, you’ll begin by learning data visualization principles and the grammar of graphics. Progressing to ggplot2’s core functionalities, you’ll create scatter plots, bar charts, line graphs, histograms, and more explore advanced visualization through customizations and themes to create visually engaging plots. You’ll also be building interactive visualizations and captivating maps. 

By the end of this course, you’ll confidently generate engaging data visualizations in R, transforming yourself into an effective data communicator. You’ll also be able to elevate your data visualization skills with ggplot2 and excel as a data storyteller while enhancing your data science career.

Data Visualizations with ggplot2 in R

R and RStudio are required for running `ggplot2` and its extension packages. Let’s first learn how to install the `ggplot2` library.

> **Note:** The Docker container for this course already contains the required R environment for `ggplot2` with the necessary `ggplot` extensions installed. The instructions in this lesson are helpful to understand what packages are running in the background for creating data visualizations. These steps can also be used to set up R and `ggplot2` locally, if required, for additional practice.

# Installing `ggplot2` through the `tidyverse` package

To download R and RStudio for any OS (operating system), the necessary steps can be followed as available on the official documentation page for [RStudio](https://posit.co/download/rstudio-desktop/).

After downloading R and RStudio, we can proceed with the installation of `tidyverse` (a collection of R core packages) or the `ggplot2` package as a standalone installation.

Installing a package with R means downloading the package into a computer, which is possible in two ways. We can directly download the package from CRAN (Comprehensive R Archive Network), the central repository for R packages, or run the `install.packages()` command with the name of the package we wish to install in R.

The `ggplot2` package is one of the `tidyverse` packages. Hence, we can install the complete `tidyverse` package rather than just installing the `ggplot2` package using the `install.packages()` function:

Learn about installing the ggplot2 package and some useful ggplot2 extension packages for data visualization.

Welcome to the Course

Introduction to ggplot2

Drawing Basic Plots Using ggplot2

Advanced Plots

Plot Customization

Creating Panel of Plots

Building Interactive Plots

Uber Data Analysis Using the R Language

Summing Up

Appendix

Final Assessment

Stock Data Analysis with R

Library Installation and Setup

Installing `ggplot2` through the `tidyverse` package

Uber Data Analysis Using the R Language

Final Assessment

Stock Data Analysis with R

Library Installation and Setup

Installing ggplot2 through the tidyverse package

Installing `ggplot2` through the `tidyverse` package