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.
Este curso forma parte de Programa Especializado - Mastering Software Development in R
Building Data Visualization Tools
ofrecido por
7,476 ya están inscritos.
Acerca de este Curso
3,620
3,620Habilidades que obtendrás
MappingGgplot2Data Visualization (DataViz)R Programming
Programa - Qué aprenderás en este curso
Semana
121 minutos para completar
Welcome to Building Data Visualization Tools
Before we get started, we'll take a quick overview of the course.
1 video (Total 1 minutos), 2 readings
2 lecturas
Textbook: Mastering Software Development in R10m
Syllabus10m
3 horas para completar
Plotting with ggplot2
Now, we'll dive into creating and customizing ggplot2 plots.
13 readings, 1 quiz
13 lecturas
Introduction10m
Initializing a ggplot object10m
Plot aesthetics10m
Creating a basic ggplot plot10m
Geoms10m
Using multiple geoms10m
Constant aesthetics10m
Example plots10m
Extensions of ggplot210m
Introduction10m
Guidelines for good plots10m
Scales and color10m
To find out more10m
1 ejercicio de práctica
Plotting with ggplot220m
Semana
22 horas para completar
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, 1 quiz
9 lecturas
Introduction10m
Basics of Mapping10m
ggmap, Google Maps API10m
Mapping US counties and states10m
More advanced mapping– Spatial objects10m
Where to find more on mapping with R10m
Overview of htmlWidgets10m
plotly package10m
Creating your own widget10m
1 ejercicio de práctica
Mapping and interactive plots20m
Semana
32 horas para completar
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, 1 quiz
7 lecturas
Introduction10m
Overview of grid graphics10m
Grobs10m
Viewports10m
Grid graphics coordinate systems10m
The gridExtra package10m
Where to find more about grid graphics10m
1 ejercicio de práctica
Basics of grid graphics20m
Semana
46 horas para completar
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, 1 quiz
12 lecturas
Introduction10m
Why Build a New Theme?10m
Default Theme10m
Building a New Theme10m
Summary10m
Introduction10m
Building a Geom10m
Example: An Automatic Transparency Geom10m
Building a Stat10m
Example: Normal Confidence Intervals10m
Combining Geoms and Stats10m
Summary10m
Instructores
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brooke Anderson
Assistant Professor, Environmental & Radiological Health SciencesColorado State University
Acerca de Universidad Johns Hopkins
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.
Acerca del programa especializado Mastering Software Development in R
This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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