À propos de ce cours : 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.
Enseigné par : Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Enseigné par : Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Informations de base | Cours 4 de 5 dans Mastering Software Development in R Specialization |
| Niveau | Intermediate |
| Engagement | 4 weeks, 2 hours per week |
| Langue | English, Sous-titres : Chinese (Simplified) |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
- Vidéo: Welcome to Building Data Visualization Tools
- Reading: Textbook: Mastering Software Development in R
- Reading: Syllabus
- Reading: Introduction
- Reading: Initializing a ggplot object
- Reading: Plot aesthetics
- Reading: Creating a basic ggplot plot
- Reading: Geoms
- Reading: Using multiple geoms
- Reading: Constant aesthetics
- Reading: Example plots
- Reading: Extensions of ggplot2
- Reading: Introduction
- Reading: Guidelines for good plots
- Reading: Scales and color
- Reading: To find out more
- Reading: Introduction
- Reading: Basics of Mapping
- Reading: ggmap, Google Maps API
- Reading: Mapping US counties and states
- Reading: More advanced mapping– Spatial objects
- Reading: Where to find more on mapping with R
- Reading: Overview of htmlWidgets
- Reading: plotly package
- Reading: Creating your own widget
- Reading: Introduction
- Reading: Overview of grid graphics
- Reading: Grobs
- Reading: Viewports
- Reading: Grid graphics coordinate systems
- Reading: The gridExtra package
- Reading: Where to find more about grid graphics
- Reading: Introduction
- Reading: Why Build a New Theme?
- Reading: Default Theme
- Reading: Building a New Theme
- Reading: Summary
- Reading: Introduction
- Reading: Building a Geom
- Reading: Example: An Automatic Transparency Geom
- Reading: Building a Stat
- Reading: Example: Normal Confidence Intervals
- Reading: Combining Geoms and Stats
- Reading: Summary
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
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!
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
Great course