

Johns Hopkins University - Building Data Visualization Tools
- Offered byCoursera
- Public/Government Institute
Building Data Visualization Tools at Coursera Overview
Duration | 13 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Building Data Visualization Tools at Coursera Highlights
- 33% started a new career after completing these courses.
- 20% got a tangible career benefit from this course.
- Earn a certificate from the Johns Hopkins University upon completion of course.
Building Data Visualization Tools at Coursera Course details
- 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.
Building Data Visualization Tools at Coursera Curriculum
Welcome to Building Data Visualization Tools
Welcome to Building Data Visualization Tools
Textbook: Mastering Software Development in R
Syllabus
Introduction
Initializing a ggplot object
Plot aesthetics
Creating a basic ggplot plot
Geoms
Using multiple geoms
Constant aesthetics
Example plots
Extensions of ggplot2
Introduction
Guidelines for good plots
Scales and color
To find out more
Plotting with ggplot2
Mapping and interactive plots
Introduction
Basics of Mapping
ggmap, Google Maps API
Mapping US counties and states
More advanced mapping? Spatial objects
Where to find more on mapping with R
Overview of htmlWidgets
plotly package
Creating your own widget
Mapping and interactive plots
The grid Package
Introduction
Overview of grid graphics
Grobs
Viewports
Grid graphics coordinate systems
The gridExtra package
Where to find more about grid graphics
Basics of grid graphics
Building New Graphical Elements
Introduction
Why Build a New Theme?
Default Theme
Building a New Theme
Summary
Introduction
Building a Geom
Example: An Automatic Transparency Geom
Building a Stat
Example: Normal Confidence Intervals
Combining Geoms and Stats
Summary