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

Which argument is *not* used in the `annotate()` function?

Which argument is not used in the <code>annotate()</code> function?

It requires additional lines of code for building visualization than base graphics.

The `ggplot2` package includes lot of functions which makes it difficult to adapt.

It is one of the core members of the `tidyverse` package.

What is true about <code>ggplot2</code>?

Which element is _not_ in the grammar of graphics?

Which element is not in the grammar of graphics?

What are the three essential components necessary for creating any plot with `ggplot2`?

What are the three essential components necessary for creating any plot with <code>ggplot2</code>?

Which sign should be used to add layers in `ggplot2`?

Which sign should be used to add layers in <code>ggplot2</code>?

Test your knowledge on what you have learned so far in this course.

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

Quiz on Grammar of Graphics