About 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.
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Basic Info | Course 4 of 5 in the Mastering Software Development in R Specialization |
| Level | Intermediate |
| Commitment | 4 weeks, 2 hours per week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Video: Welcome to Building Data Visualization Tools
- Leyendo: Textbook: Mastering Software Development in R
- Leyendo: Syllabus
- Leyendo: Introduction
- Leyendo: Initializing a ggplot object
- Leyendo: Plot aesthetics
- Leyendo: Creating a basic ggplot plot
- Leyendo: Geoms
- Leyendo: Using multiple geoms
- Leyendo: Constant aesthetics
- Leyendo: Example plots
- Leyendo: Extensions of ggplot2
- Leyendo: Introduction
- Leyendo: Guidelines for good plots
- Leyendo: Scales and color
- Leyendo: To find out more
- Leyendo: Introduction
- Leyendo: Basics of Mapping
- Leyendo: ggmap, Google Maps API
- Leyendo: Mapping US counties and states
- Leyendo: More advanced mapping– Spatial objects
- Leyendo: Where to find more on mapping with R
- Leyendo: Overview of htmlWidgets
- Leyendo: plotly package
- Leyendo: Creating your own widget
- Leyendo: Introduction
- Leyendo: Overview of grid graphics
- Leyendo: Grobs
- Leyendo: Viewports
- Leyendo: Grid graphics coordinate systems
- Leyendo: The gridExtra package
- Leyendo: Where to find more about grid graphics
- Leyendo: Introduction
- Leyendo: Why Build a New Theme?
- Leyendo: Default Theme
- Leyendo: Building a New Theme
- Leyendo: Summary
- Leyendo: Introduction
- Leyendo: Building a Geom
- Leyendo: Example: An Automatic Transparency Geom
- Leyendo: Building a Stat
- Leyendo: Example: Normal Confidence Intervals
- Leyendo: Combining Geoms and Stats
- Leyendo: Summary
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
| Comprar curso | Auditar | |
|---|---|---|
| Accede a los materiales del curso | Available | Available |
| Accede a los materiales con calificación | Available | Not available |
| Recibe una calificación final | Available | Not available |
| Obtén un Certificado de curso para compartir | Available | Not available |
the course content is just copy from the book
very useful, especially the final practical exam.
not 5 score because I think more time should have been spent in more modern interactive charts
A nice course
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CM
I could plot in R before and many of the topics discussed in this course I already had a working grasp on. Still, the course helped me really gave me a whole new depth of knowledge on the packages that plotting is build around in R. Highly recommended!