Manipulation of data in R.
Structuring dplyr verbs systematically to do data analysis.
In this 2-hour long project-based course, you will learn one of the most powerful data analysis tools of the experts: the DPLYR package. By learning the six main verbs of the package (filter, select, group by, summarize, mutate, and arrange), you will have the knowledge and tools to complete your next data analysis project or data transformation. By the end of this project, you will be able to: Use the six main dplyr verbs Understand the dplyr package and its capabilities Get hands-on practice using R and dplyr functions This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, this means instant access to a cloud desktop with R and the appropriate packages installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In this task there will be an explanation of the Project, a quick discussion of the Rhyme Interface and a short Instructor Bio.
Filter is a dplyr verb that allows the R user the ability to filter rows by a user specified definition. In this Task the Instructor will go over how to use Filter and then provide a couple examples.
This Task will be a continuation of the Filter conversation and application.
Select is a dplyr verb that allows the user to select variable (or columns)
The Pipe is from the magittr package and is used to create fluidity among the dplyr verbs, allowing the user to tie multiple dplyr verbs together.
Group By allows the user the ability to group by certain factors within a variable.
Mutate allows the user to create new data columns or variables. The functions can be user defined or one of the canned functions included within the Mutate function.
Just one hour and I already feel like I moved mountains! This is a terrific starter project for anyone keen on learning R programming. I highly recommend it!
The contents of the course were good, but the length of the course could have been longer with more real-world examples and no time limit for the sessions.
Very good course. Only the rhyme application created few problem, like remote desktop not starting etc. But the course content is good.
It's very short but the concepts were explained amazingly, I look forward for doing more projects with this mentor.
购买指导项目后，您将获得完成指导项目所需的一切，包括通过 Web 浏览器访问云桌面工作空间，工作空间中包含您需要了解的文件和软件，以及特定领域的专家提供的分步视频说明。
我能直接通过 Web 浏览器来完成此指导项目，而不必安装特殊软件吗？