Build Data Analysis tools using R and DPLYR

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在此指導項目中,您將:

Manipulation of data in R.

Structuring dplyr verbs systematically to do data analysis.

Clock1.5 hours
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Computer ProgrammingData AnalysisData ManipulationR Programming

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. In this task there will be an explanation of the Project, a quick discussion of the Rhyme Interface and a short Instructor Bio.

  2. 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.

  3. This Task will be a continuation of the Filter conversation and application.

  4. Select is a dplyr verb that allows the user to select variable (or columns)

  5. 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.

  6. Group By allows the user the ability to group by certain factors within a variable.

  7. 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.

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