Análisis de Datos

Este curso forma parte de Programa Especializado - Mastering Software Development in R

Building Data Visualization Tools

ofrecido por

Programa Especializado - Mastering Software Development in R

Universidad Johns Hopkins

Acerca de este Curso

6,595 vistas recientes

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.

Curso 4 de 5 en

Programa Especializado - Mastering Software Development in R

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 9 horas para completar

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

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Chino (simplificado), Vietnamita, Inglés (English)

Habilidades que obtendrás

MappingGgplot2Data Visualization (DataViz)R Programming

Curso 4 de 5 en

Programa Especializado - Mastering Software Development in R

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 9 horas para completar

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

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Chino (simplificado), Vietnamita, Inglés (English)

Programa - Qué aprenderás en este curso

Semana

21 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 lecturas

1 video

Welcome to Building Data Visualization Tools32s

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 lecturas, 1 cuestionario

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

2 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 lecturas, 1 cuestionario

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

2 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 lecturas, 1 cuestionario

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

6 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 lecturas, 1 cuestionario

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, Biostatistics

Bloomberg School of Public Health

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences

Colorado 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 de Programa especializado Mastering Software Development in R

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. 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 and scaling useful data science results and products. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll 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. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts....

Preguntas Frecuentes

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