Informações sobre o curso
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25 avaliações
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....
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Intermediate Level

Nível intermediário

Clock

Approx. 8 hours to complete

Sugerido: 4 weeks, 2 hours per week...
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English

Legendas: English, Chinese (Simplified)...

Habilidades que você terá

MappingGgplot2Data Visualization (DataViz)R Programming
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Intermediate Level

Nível intermediário

Clock

Approx. 8 hours to complete

Sugerido: 4 weeks, 2 hours per week...
Comment Dots

English

Legendas: English, Chinese (Simplified)...

Programa - O que você aprenderá com este curso

Week
1
Clock
21 minutos para concluir

Welcome to Building Data Visualization Tools

Before we get started, we'll take a quick overview of the course....
Reading
1 vídeo (Total de 1 min), 2 leituras
Reading2 leituras
Textbook: Mastering Software Development in R10min
Syllabus10min
Clock
3 horas para concluir

Plotting with ggplot2

Now, we'll dive into creating and customizing ggplot2 plots....
Reading
13 leituras, 1 teste
Reading13 leituras
Introduction10min
Initializing a ggplot object10min
Plot aesthetics10min
Creating a basic ggplot plot10min
Geoms10min
Using multiple geoms10min
Constant aesthetics10min
Example plots10min
Extensions of ggplot210min
Introduction10min
Guidelines for good plots10min
Scales and color10min
To find out more10min
Quiz1 exercício prático
Plotting with ggplot220min
Week
2
Clock
2 horas para concluir

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....
Reading
9 leituras, 1 teste
Reading9 leituras
Introduction10min
Basics of Mapping10min
ggmap, Google Maps API10min
Mapping US counties and states10min
More advanced mapping– Spatial objects10min
Where to find more on mapping with R10min
Overview of htmlWidgets10min
plotly package10min
Creating your own widget10min
Quiz1 exercício prático
Mapping and interactive plots20min
Week
3
Clock
2 horas para concluir

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....
Reading
7 leituras, 1 teste
Reading7 leituras
Introduction10min
Overview of grid graphics10min
Grobs10min
Viewports10min
Grid graphics coordinate systems10min
The gridExtra package10min
Where to find more about grid graphics10min
Quiz1 exercício prático
Basics of grid graphics20min
Week
4
Clock
6 horas para concluir

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....
Reading
12 leituras, 1 teste
Reading12 leituras
Introduction10min
Why Build a New Theme?10min
Default Theme10min
Building a New Theme10min
Summary10min
Introduction10min
Building a Geom10min
Example: An Automatic Transparency Geom10min
Building a Stat10min
Example: Normal Confidence Intervals10min
Combining Geoms and Stats10min
Summary10min

Instrutores

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

Sobre 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....

Sobre o Programa de cursos integrados 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....
Mastering Software Development in R

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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