Creating Visualizations in R Using ggplot2: R Playbook

This course will teach you how to create visualizations for a variety of datasets. From box plots and bar charts to a scatter plot matrix and a geographic map, make an impact efficiently in businesses and organizations.
Course info
Level
Beginner
Updated
Nov 26, 2019
Duration
1h 9m
Table of contents
Course Overview
Leveraging ggplot2 for Creating Graphs
Showing the Best Plots for One or Two Variables Both Continuous
Producing the Best Plots for Two Variables, One Discrete, and One Continuous
Creating Graphs with Three or More Variables and Making a Map
Description
Course info
Level
Beginner
Updated
Nov 26, 2019
Duration
1h 9m
Description

Creating great visuals can be time consuming without proper goals made. In this course, Creating Visualizations in R Using ggplot2: R Playbook, you will gain the ability to create powerful visuals that fit your dataset and business goals. First, you will learn simple charts for one variable. Next, you will discover more complex charts with two or more variables. Finally, you will explore how to create a map with geo spatial data. When you're finished with this course, you will have the skills and knowledge of visualizations needed to present insights to your audience.

About the author
About the author

Emilee has an M.S. in Business Statistics from Mercer University and currently works as a Data Scientist. She has worked with data for 5+ years, spending the majority of her time in financial industry. She created marketing solutions at an investment management firm, consulted with lenders on risk models at a credit bureau, and currently works in consumer banking. Through her love of data, she has always had a passion for teaching. Prior to grad school, she worked as a teacher.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone, my name is Emilee McWiliams, and welcome to my course, Creating Visualizations in R Using ggplot2: The R Playbook. I'm a data scientist in the financial industry with experience in investment management and credit risk, and I've seen a variety of business problems. At many times in data projects, descriptive graphs can provide great insight into complex datasets. Visualizations often bring the story of the data to life. In this course, we are going to create graphs for discrete and continuous data all based on a particular goal. Some of the major topics that we will cover include creating a map, a scatter plot matrix, designing a box plot, and all while keeping our goals in mind. By the end of this course, you'll know how to create beautiful visualizations and communicate the findings to your audience. Before beginning the course, you should be familiar with the basics of ggplot2 and common statistical terms. I hope you'll join me on this journey to learn R with the Creating Visualizations in R Using ggplot2: The R Playbook course, at Pluralsight.