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

# Introduction to histograms in ```ggplot2```

A **histogram** is a data visualization technique in statistics and data science that summarizes data by representing data points organized into user specified ranges or bins. In other words, we can easily interpret the total number of data points falling within specified **bins**, i.e., the range of values in a histogram. Similar to bar graphs, rectangular blocks are used in a histogram to display data. 

> **Note**: Unlike a vertical bar chart, the bars of a histogram don’t have gaps between them.

Learn how to create histograms and density plots with ggplot2.

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

Histogram and Density Plot

Introduction to histograms in `ggplot2`