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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第 2 門課程（共 5 門）
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完成時間大約為13 小時
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可分享的證書
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100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 5 門）
中級
完成時間大約為13 小時
英語（English）
字幕：英語（English）
對員工進行熱門技能培訓能否為您的公司帶來益處？
體驗 Coursera 企業版
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约翰霍普金斯大学
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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 4 小時
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.
完成時間為 4 小時
4 個視頻 （總計 26 分鐘）, 11 個閱讀材料, 3 個測驗
完成時間為 3 小時
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.
完成時間為 3 小時
7 個視頻 （總計 39 分鐘）, 4 個閱讀材料, 3 個測驗
完成時間為 5 小時
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.
完成時間為 5 小時
6 個視頻 （總計 38 分鐘）, 8 個閱讀材料, 4 個測驗
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- 5 stars89.65%
- 4 stars9.19%
- 3 stars1.14%
來自DATA VISUALIZATION IN R WITH GGPLOT2的熱門評論
由 MS 提供2021年3月30日
Extremely useful, clear, and easy to follow course of ggplot2
由 NK 提供2022年1月23日
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.
由 AA 提供2021年4月18日
Excellent course, learned a lot; looking forward to the next one in the series.
由 MZ 提供2021年5月12日
My best thanks to Coursera and Johns Hopkins University for holding this valuable course.
關於 Data Visualization & Dashboarding with R 專項課程
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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