Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
Este curso forma parte de Programa especializado: Data Visualization & Dashboarding with R
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Programa especializado: Data Visualization & Dashboarding with RUniversidad Johns HopkinsAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
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.
Programa - Qué aprenderás en este curso
4 horas para completar
Introduction to Shiny
In this module, we will get started using Shiny to create interactive visualizations. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
4 horas para completar
6 videos (Total 41 minutos), 5 lecturas, 2 cuestionarios
4 horas para completar
Customizing Shiny Apps
In this module, we will go into greater details about laying Shiny applications. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
4 horas para completar
2 videos (Total 18 minutos), 5 lecturas, 2 cuestionarios
3 horas para completar
flexdashboard
In this module, we will learn how to use flexdashboard to display visualization in a dashboard format. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
3 horas para completar
3 videos (Total 13 minutos), 4 lecturas, 4 cuestionarios
Reseñas
- 5 stars86,04 %
- 4 stars13,95 %
Principales reseñas sobre PUBLISHING VISUALIZATIONS IN R WITH SHINY AND FLEXDASHBOARD
por AA27 de may. de 2021
Another one! And it's getting better and better. Enjoyed every bit of it, thank you.
por NP9 de feb. de 2021
Great course . Learnt lot from the course. Thank you very much for making such incredible course.
por BS3 de oct. de 2021
Practical dashboard development with Shiny and Flexdashboard, very focused on the tools and underlying components of the libraries.
por JC18 de mar. de 2022
Excellent introductory course on creating and publishing your dashborards and interactive graphics.
Acerca de Programa especializado: Data Visualization & Dashboarding with R
This Specialization is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.
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