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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ggplot2-fundamentals/
课程评论：没有评论
课程名称：从初学者到高级用户：掌握ggplot2 概述：本课程旨在帮助您从基础开始学习ggplot2。尽管ggplot2拥有庞大的社区和无尽的资源，但对于初学者来说，创建数据可视化相对困难，您需要了解数据类型、几何对象、美学、美学映射、数十个函数、分面、尺度、主题等内容。虽然网络上有许多资源教授这些内容，但找到这些资源通常需要花费时间，而且往往不能教授您成为独立ggplot2数据可视化专家所需的基础知识。本课程将帮助您快速掌握ggplot2。 课程内容包括：超过12小时的视频教学，8份全新ggplot2基础概念的备忘单，网络应用程序以解决三大基本问题：几何对象的美学寻址、计算尺度以及设计主题，及课程的所有R代码资源。 我们将从ggplot2最重要的概念——美学映射开始学习，接着创建最基本的图表，并讨论初学者常遇到的陷阱。随后，您将学习如何使用尺度自定义美学映射、如何通过分面创建多个图表、如何计算汇总统计数据以及如何更改图表主题。课程最后将分享学习ggplot2应知的技巧与窍门，同时制作四个最佳实践的可视化图表，涵盖课程中学习的所有基本概念。我相信，您不会在互联网上找到类似的材料，参加本课程后，您将从基础入手真正理解ggplot2。 注意：我们将覆盖版本3.3.4的ggplot2。
My goal with this course is for you to learn ggplot2 from the ground up. ggplot2 has a huge community and endless resources, but here's why I think this course might be for you:Creating data visualizations in ggplot2 is tough for beginners. You need to know about data types, geometric objects, aesthetics, aesthetic mappings, dozens of functions, faceting, scales, themes and much more. You'll find many resources on the internet that teach you this content. Finding these resources takes time, and often they don't teach the fundamentals you need to know to become an independent data visualization specialist in ggplot2. This course will get you up to speed with ggplot2. While creating this course I not only created the videos, but also a comprehensive package of educational materials. Here is what you will get from this course:More than 12 hours of videos8 brand-new cheat sheets on the most fundamental concepts of ggplot2 which you won't find anywhere else on the internet3 educational web apps on three of the most fundamentals problems: findings aesthetics of geometric objects, finding scales, and designing your themeA repository with all the R-code for the courseIn this course we will start with the most important concept of ggplot2, aesthetic mappings. We will then learn how to create the most basic plots. Once you are able to create these plots, we will discuss common pitfalls that beginners to ggplot2 often run into. In the next modules, you will learn how to customize aesthetic mappings with scales, how to create multiple plots by faceting, how to calculate summary statistics, and how to change the theme of your plots. Finally, you will get to know tips and tricks that everyone learning ggplot2 should know. Along the way, we will also create four best practice visualizations that cover all of the fundamental concepts we learn in this course. I am confident that you won't find similar material anywhere else on the internet and that you will truly understand ggplot2 from the ground up if you take this course. Disclaimer: We will cover version 3.3.4 of ggplot2.
