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.
Ce cours fait partie de la Spécialisation Data Visualization & Dashboarding with R
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Spécialisation Data Visualization & Dashboarding with RUniversité Johns-HopkinsÀ propos de ce cours
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Cours 4 sur 5 dans le
Approx. 12 heures pour terminer
Anglais
Sous-titres : Anglais
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 5 dans le
Approx. 12 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université 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.
Programme de cours : ce que vous apprendrez dans ce cours
4 heures pour terminer
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 heures pour terminer
6 vidéos (Total 41 min), 5 lectures, 2 quiz
4 heures pour terminer
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 heures pour terminer
2 vidéos (Total 18 min), 5 lectures, 2 quiz
3 heures pour terminer
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 heures pour terminer
3 vidéos (Total 13 min), 4 lectures, 4 quiz
Avis
- 5 stars86,04 %
- 4 stars13,95 %
Meilleurs avis pour PUBLISHING VISUALIZATIONS IN R WITH SHINY AND FLEXDASHBOARD
par BS3 oct. 2021
Practical dashboard development with Shiny and Flexdashboard, very focused on the tools and underlying components of the libraries.
par AA27 mai 2021
Another one! And it's getting better and better. Enjoyed every bit of it, thank you.
par IL30 sept. 2021
This course is a good start for people who are interested in learning about R Shiny and flexdashboard.
par CL5 avr. 2021
Awesome place to get started if you are learning Shiny and Flexdashboard
À propos du Spécialisation 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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