Introduction to Visualization in R

4 hours of instruction

Creating visualizations is a critical means of exploring data and revealing insights. In this course, learners will take their R skills to the next level by preparing data for exploratory analysis and creating basic, static visualizations. Using both base R and tidyverse packages, learners will generate bar charts, scatter plots, histograms, and other common visualizations to better understand the shape, structure, and features of a sample dataset.

OBJECTIVES

1. Explain use cases for Exploratory Data Analysis (EDA)
2. Create various static visualizations with R

PREREQUISITES

Learners should be moderately proficient at wrangling data and performing basic data cleaning operations in R.

SYLLABUS & TOPICS COVERED

1. Exploratory Data Analysis
   • Exploratory data analysis use cases
   • Perform EDA on data
2. Basic Data Visualization
   • Data visualization basics and use cases
   • Build plots with base r
3. Static Plots
   • The process behind constructing complex plots
   • Visualizing data with ggplot2

SOFTWARE REQUIREMENTS

You will have access to an R-based Posit Cloud environment for this course. No additional download or installation is required.