Data Visualization with R

Data Visualization with R

This course is part of multiple programs.

Instructors: Yiwen Li

What you'll learn

Create bar charts, histograms, pie charts, scatter plots, line graphs, box plots, and maps using R and related packages.
Design customized charts and plots using annotations, axis titles, text labels, themes, and faceting.
Create maps using the Leaflet package for R.
Create interactive dashboards using the Shiny package for R.

Skills you'll gain

Details to know

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Assessments

13 assignments

Taught in English

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There are 4 modules in this course

In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will be introduced to creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web.

You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Watch the videos, work through the labs, and watch your data science skill grow. Good luck! NOTE: This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course. Note: The pre-requisite for this course is basic R programming skills.

Data without a way to convey the story behind it to yourself or others is just numbers on a page. You can observe and tell the story of your data in a more impactful way through visualization. In this module, you will learn the basics of data visualization using R, including the fundamental components that are shared by all charts and plots, and how to bring those components to life using the ggplot2 package for R. You will also learn how to create three common chart types, including bar, histogram, and pie charts, from the qualitative and quantitative data.

What's included

5 videos3 readings4 assignments1 app item1 plugin

5 videosTotal 21 minutes

Introduction to Data Visualization3 minutesPreview module
Using ggplot24 minutes
Bar Charts4 minutes
Histograms3 minutes
Pie Charts4 minutes

3 readingsTotal 9 minutes

Course Introduction3 minutes
Summary & Highlights 3 minutes
Summary & Highlights 3 minutes

4 assignmentsTotal 24 minutes

Practice Quiz6 minutes
Practice Quiz6 minutes
Graded Quiz6 minutes
Graded Quiz6 minutes

1 app itemTotal 20 minutes

Hands-on Lab: Apply Basic Chart Learning20 minutes

1 pluginTotal 15 minutes

Cheat Sheet: Basic Plots15 minutes

In this module, you will take your data visualization skills to the next level! You will learn how to create three plot types, including scatter plots, line, plots, and box plots, using the ggplot2 library and then customize the visualizations using annotations and customized axis titles and text labels. You will also learn about faceting, a way to visualize each level of a discrete or categorical variable, and different ways to work with themes. Finally, you will learn about a unique chart type called a map that you can create using geolocation data and the Leaflet library.

What's included

6 videos2 readings4 assignments2 app items3 plugins

6 videosTotal 31 minutes

Scatter Plots4 minutesPreview module
Line Plots5 minutes
Box Plots5 minutes
Customize Plots5 minutes
Themes and Faceting6 minutes
v2.2.3 - Maps with Leaflet4 minutes

2 readingsTotal 10 minutes

Summary & Highlights 5 minutes
Summary & Highlights 5 minutes

4 assignmentsTotal 28 minutes

Practice Quiz6 minutes
Practice Quiz8 minutes
Graded Quiz6 minutes
Graded Quiz8 minutes

2 app itemsTotal 75 minutes

Hands-on Lab: Apply Basic Plot Learning30 minutes
Hands-on Lab: Apply Maps Learning45 minutes

3 pluginsTotal 45 minutes

Cheat Sheet - Basic Plots15 minutes
Cheat Sheet - Customization and Maps15 minutes
Cheat Sheet - Customization and Maps using Leaflet15 minutes

Your data tells a story. You have built the charts and plots that show important relationships between variables, identify outliers and anomalies, and see the trends that can help you predict what the future might bring. Now you want to put these insightful data visualizations at the fingertips of your stakeholders and make it easy to interact with and explore the data. You need a dashboard! In this module, you will learn why dashboards are important and then build interactive dashboards using the Shiny package for R. You will learn how Shiny dashboards are structured into user interface and server components and then build out these components and develop the logic to make them work together. You will also learn how to deploy your dashboards and provide a way to generate informative reports with R Markdown.