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Building Data Visualization Tools

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Building Data Visualization Tools

Name: Building Data Visualization Tools
Rating: 3.949367088607595 (158 reviews)

This course is part of Mastering Software Development in R Specialization

Instructors: Roger D. Peng, PhD

12,730 already enrolled

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

158 reviews

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

158 reviews

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments¹

AI Graded see disclaimer

Taught in English

91%

of learners achieved a positive career outcome

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Build your subject-matter expertise

This course is part of the Mastering Software Development in R Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks. We focus on the ggplot2 framework and describe how to use and extend the system to suit the specific needs of your organization or team. Upon completing this course, learners will be able to build the tools needed to visualize a wide variety of data types and will have the fundamentals needed to address new data types as they come about.

Module details

Before we get started, we'll take a quick overview of the course.

What's included

1 video2 readings

Now, we'll dive into creating and customizing ggplot2 plots.

What's included

13 readings1 assignment

13 readingsTotal 130 minutes

Introduction10 minutes
Initializing a ggplot object10 minutes
Plot aesthetics10 minutes
Creating a basic ggplot plot10 minutes
Geoms10 minutes
Using multiple geoms10 minutes
Constant aesthetics10 minutes
Example plots10 minutes
Extensions of ggplot210 minutes
Introduction10 minutes
Guidelines for good plots10 minutes
Scales and color10 minutes
To find out more10 minutes

1 assignmentTotal 30 minutes

Plotting with ggplot230 minutes

Mapping is a critical part of many data visualizations. During this module, we'll teach you how to create simple and dynamic maps with ggplot2 and ggmap, how to overlay data, and how to create chloropleth maps of US counties.

What's included

9 readings1 assignment

9 readingsTotal 90 minutes

Introduction10 minutes
Basics of Mapping10 minutes
ggmap, Google Maps API10 minutes
Mapping US counties and states10 minutes
More advanced mapping– Spatial objects10 minutes
Where to find more on mapping with R10 minutes
Overview of htmlWidgets10 minutes
plotly package10 minutes
Creating your own widget10 minutes

1 assignmentTotal 30 minutes

Mapping and interactive plots30 minutes

The grid package in R implements the primitive graphical functions that underly the ggplot2 plotting system. In this module, you'll learn how to work with grid to build graphics.

What's included

7 readings1 assignment

Building and modifying a theme in ggplot2 is a key feature of the ggplot2 package and system for building data graphics. In this final module, you'll learn to build a new theme and modifying existing themes with new features.

What's included

12 readings1 peer review

12 readingsTotal 120 minutes

Introduction10 minutes
Why Build a New Theme?10 minutes
Default Theme10 minutes
Building a New Theme10 minutes
Summary10 minutes
Introduction10 minutes
Building a Geom10 minutes
Example: An Automatic Transparency Geom10 minutes
Building a Stat10 minutes
Example: Normal Confidence Intervals10 minutes
Combining Geoms and Stats10 minutes
Summary10 minutes

1 peer reviewTotal 240 minutes

Build a New Geom240 minutes

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Instructors

Instructor ratings

(7 ratings)

Roger D. Peng, PhD

Johns Hopkins University

37 Courses1,687,110 learners

Brooke Anderson

Johns Hopkins University

5 Courses77,350 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
43.67%
4 stars
27.21%
3 stars
16.45%
2 stars
5.69%
1 star
6.96%

Showing 3 of 158

Reviewed on Nov 16, 2018

Great course! You'll learn a lot about the graphic capabilities of R. However, I think there are some things that need to be explained before one goes on to complete the final project.

Reviewed on Jun 22, 2020

It is a good course. The only downside is that if you are a beginner level R programmer and want to upskill, you will need to do an extensive search to complete this course.

Reviewed on Jul 31, 2017

very useful, especially the final practical exam.not 5 score because I think more time should have been spent in more modern interactive charts

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