Data Visualization with R using ggplot2 - III.png

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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

# What’s more in aesthetics?

The aesthetics in ```ggplot2``` are not limited to what we have discussed (color, fill, point shapes, alpha, etc.) in the previous lesson. Let’s look at what else `ggplot2` offers for aesthetics.

For example, we can introduce textures in our graphs using a supporting package called ```ggpattern```. These are optional aesthetics that can improve the visual appearance of any data visualization.


Understand how to use different annotations in ggplot2 for adding details to plots, both inside and outside the aesthetics.

Welcome to the Course

Introduction to ggplot2

Drawing Basic Plots Using ggplot2

Advanced Plots

Plot Customization

Creating Panel of Plots

Building Interactive Plots

Summing Up

Appendix

Final Assessment

Aesthetics and Annotation in ggplot2

What’s more in aesthetics?