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 faz parte do Programa de cursos integrados Data Visualization & Dashboarding with R
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Programa de cursos integrados Data Visualization & Dashboarding with RUniversidade Johns HopkinsInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Aprox. 12 horas para completar
Inglês
Legendas: Inglês
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Aprox. 12 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade 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 - O que você aprenderá com este curso
4 horas para concluir
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 concluir
6 vídeos (Total 41 mín.), 5 leituras, 2 testes
4 horas para concluir
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 concluir
2 vídeos (Total 18 mín.), 5 leituras, 2 testes
3 horas para concluir
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 concluir
3 vídeos (Total 13 mín.), 4 leituras, 4 testes
Avaliações
- 5 stars85,71%
- 4 stars14,28%
Principais avaliações do PUBLISHING VISUALIZATIONS IN R WITH SHINY AND FLEXDASHBOARD
por BS3 de out 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.
por AA27 de mai de 2021
Another one! And it's getting better and better. Enjoyed every bit of it, thank you.
por IL30 de set de 2021
This course is a good start for people who are interested in learning about R Shiny and flexdashboard.
Sobre Programa de cursos integrados 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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