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.
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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
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Introduction to the Grammar of Graphics
In this module, we will get started using ggplot2. 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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4개 동영상 (총 26분), 11 개의 읽기 자료, 3 개의 테스트
완료하는 데 3시간 필요
More Visualizations with ggplot
In this module, we will continue working with ggplot, learning additional types of visualization techniques. 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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7개 동영상 (총 39분), 4 개의 읽기 자료, 3 개의 테스트
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ggplot Graphical Elements
In this module, we will cover how to refine plots created in ggplot2. 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. Then, at the end of the module, you will submit an assignment for peer review that covers all of the material in this course.
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6개 동영상 (총 38분), 8 개의 읽기 자료, 4 개의 테스트
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DATA VISUALIZATION IN R WITH GGPLOT2의 최상위 리뷰
NK 제공2022년 1월 23일
I used several times ggplot2 package in R but every times I should google how it's work. After finishing this course I had the feeling that I really know how to use ggplot2 properly.
SV 제공2021년 10월 8일
buen curso, aunque me gustaría que metieran más fuentes, ya que serviría para aprender mejor
AA 제공2021년 4월 18일
Excellent course, learned a lot; looking forward to the next one in the series.
MZ 제공2021년 5월 12일
My best thanks to Coursera and Johns Hopkins University for holding this valuable course.
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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