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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-ggplot2-in-r-for-data-viz/
课程评论：没有评论
课程名称：在R中学习ggplot2数据可视化 课程概述：在本课程中，我将教您如何使用R的ggplot2包绘制出色的图表，以专业、精致的方式传达您的数据所表达的信息。我是Clara，目前在大学担任复杂系统研究员和数据可视化教授。ggplot2是构建专业图形的最佳工具，因其为R语言的一部分，而R是数据科学及相关领域中最常用的编程语言之一。使用ggplot2，您可以在进行各种计算的同一环境中生成图形，非常方便。 ggplot2是最灵活的图形工具，即使您不使用R进行分析，它也值得您使用，因为没有其他工具能够达到ggplot2所能实现的效果。目前，顶级数据可视化机构都在使用ggplot2来展示数据。然而，由于ggplot2学习曲线较长，并不是每个人都知道如何使用它，这使得许多人转向其他工具，如Microsoft Excel，这并不是专为数据可视化而设计的工具。 在我学习ggplot2的初期，我也曾面临函数和参数繁多的困惑，而且当时我从未使用过R。但我知道市场上没有其他的可比工具。因此，我决定从基础开始学习ggplot2，这花费了我不少时间。我希望能有一门课程帮助我高效学习ggplot2，因此这门课程正是我当初希望存在的，它能节省您大量的时间和精力。 我采用了一种经过多年实践的有效教学方法：要真正掌握ggplot2，您需要理解其核心——图形语法。由于单独学习这部分可能有些困难，我设计了一系列课程，先讲解语法的某些部分，然后再学习如何绘制特定的图形。每一节课都是实践性的，您不会感到无聊！通过这种方法，我的学生，尤其是那些以前从未使用过R的初学者，均取得了很好的效果。 我鼓励您迈出学习ggplot2的第一步，这将成为您多年来运用的重要技能，对您的职业生涯产生重大影响。我相信您不会后悔。我的学生都这样说过：“这是我参加过的最好的R课程”（M.G），“这是一个完美的课程，可能是我见过的最好的一门”（A.M），以及“我曾认为自己无法学习ggplot2，但这门课程让我改变了看法”（M.N）。请参考他们的意见，加入我们吧！*本课程覆盖ggplot2 3.3版本（最新发布）。
In this course, I'm going to teach you how to use the ggplot2 package of R to draw amazing charts that are able to communicate what your data has to say in the most polished, professional way. My name is Clara and I am a Complex Systems researcher and Data Visualization professor at the University. Currently, ggplot2 is the best, most powerful tool for building professional graphics. First, because this is a package available in R, which is one of the most used programming languages for Data Science and related fields. So, it is very convenient to be able to produce graphics in the same environment where you already do all of your calculations. Second, because it is the most flexible tool to build graphs. So, even if you don't use R for your analyses, it is worth it to use ggplot2 to draw your plots, because there's no other tool that will give you the results that you can achieve using ggplot2.Right now, the top agencies for Data Visualization are using ggplot2 to present their data. But still, ggplot2 is a tool that not everybody knows how to use, because of its long learning curve. Because of this, some people turn to other tools, like for example, Microsoft Excel, a tool that is not genuinely made for Data Visualization purposes. So, why don't you take the amazing opportunity of learning ggplot2 now and standing out from the crowd? When I started learning ggplot2 some years ago, I was a bit overwhelmed by the amount of functions and parameters, and also, I had never used R at the time. But I knew there wasn't any other comparable tool out there. So, I decided to learn it from the grounds, which took me a while! Of course you can watch some tutorials, and learn how to do certain kinds of plots, but I soon realized this wasn't enough to use ggplot in an independent, confindent manner. This course that I'm offering to you today is the course that I wished had existed when I was learning ggplot2. It would have saved me hours and hours of reading books, manuals, the documentation, and endless trial and error. In this course I've followed a methodology that has proven to work over the years with my students at the University, which is: to truly master ggplot2 you need to learn its core: the grammar of graphics. But, learning this alone might be a little tough, so I've created a series of lessons that first cover a certain part of the grammar, and then we move on to learning how to draw particular plots. Both of these types of lessons are fully hands-on, so you won't be bored one second! Using this method, I've had great success with students that had never used R before, R beginners, and advanced R users.I really encourage you to make the decision of starting to learn ggplot2, it'll be a skill that you'll use for years to come and which will make a great difference in your career. I promise you won't regret it. Actually, this is what my students say: "This is the best course on R that I have done (M.G)", "This is a perfect course, might be the best I've seen in a long time (A.M)", "[I thought] that it was impossible for me to learn ggplot2 but this course showed me otherwise (M.N)". Take their advice and join us!*This course covers the ggplot2 3.3 version (the latest release).
