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.
이 강좌는 Data Visualization & Dashboarding with R 특화 과정의 일부입니다.
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일정에 따라 마감일을 재설정합니다.
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 4번째 강좌:
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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.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 4시간 필요
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.
완료하는 데 4시간 필요
6개 동영상 (총 41분), 5 개의 읽기 자료, 2 개의 테스트
완료하는 데 4시간 필요
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.
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2개 동영상 (총 18분), 5 개의 읽기 자료, 2 개의 테스트
완료하는 데 3시간 필요
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.
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3개 동영상 (총 13분), 4 개의 읽기 자료, 4 개의 테스트
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PUBLISHING VISUALIZATIONS IN R WITH SHINY AND FLEXDASHBOARD의 최상위 리뷰
IL 제공2021년 9월 30일
This course is a good start for people who are interested in learning about R Shiny and flexdashboard.
BS 제공2021년 10월 3일
Practical dashboard development with Shiny and Flexdashboard, very focused on the tools and underlying components of the libraries.
AA 제공2021년 5월 27일
Another one! And it's getting better and better. Enjoyed every bit of it, thank you.
JC 제공2022년 3월 18일
Excellent introductory course on creating and publishing your dashborards and interactive graphics.
Data Visualization & Dashboarding with R 특화 과정 정보
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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