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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可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
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）
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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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來自DATA VISUALIZATION IN R WITH GGPLOT2的熱門評論
由 BS 提供2021年9月27日
Excellent introduction to ggplot capabilites and grammar of graphics. Usually the tutorials and ggplot documentation are not enough to reveal it's true potential.
由 DP 提供2021年7月28日
The best course that I took on Coursera. Thanks Prof. Collin Paschall very much for the entire course set up.
由 AT 提供2021年4月14日
The course is very interesting. It helped me improve my skills with different graphs and charts
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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