Acerca de este curso: 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.
Creada por: Johns Hopkins University
Enseñado por: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Enseñado por: Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Información básica | Curso 4 de 5 en Mastering Software Development in R Specialization |
| Nivel | Intermediate |
| Compromiso | 4 weeks, 2 hours per week |
| Idioma | English, Subtítulos: Chinese (Simplified) |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Welcome to Building Data Visualization Tools
Before we get started, we'll take a quick overview of the course.
1 video, 2 readings
- Reading: Textbook: Mastering Software Development in R
- Reading: Syllabus
Plotting with ggplot2
Now, we'll dive into creating and customizing ggplot2 plots.
13 readings
- 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
Calificado: Plotting with ggplot2
SEMANA 2
Mapping and interactive plots
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.
9 readings
- 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
Calificado: Mapping and interactive plots
SEMANA 3
The grid Package
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.
7 readings
- 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
Calificado: Basics of grid graphics
SEMANA 4
Building New Graphical Elements
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.
12 readings
- 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
Calificado: Build a New Geom
Preguntas Frecuentes
Cómo funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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Creadores
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
Great course
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
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SB
It is a very good course, but feels a bit more hands-off than the other 3 preceding courses in the Mastering Software Development in R certificate.