Joining Data in R using dplyr

提供方
Coursera Project Network
在此指导项目中,您将:

Perform different join operations using the merge() function

Perform different join operations using dplyr join functions

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

You will need to join or merge two or more data sets at different points in your work as a data enthusiast. The dplyr package offers very sophisticated functions to help you achieve the join operation you desire. This project-based course, "Joining Data in R using dplyr" is for R users willing to advance their knowledge and skills. In this course, you will learn practical ways for data manipulation in R. We will talk about different join operations and spend a great deal of our time here joining the sales and customers data sets using the dplyr package. By the end of this 2-hour-long project, you will perform inner join, full (outer) join, right join, left join, cross join, semi join, and anti join using the merge() and dplyr functions. This project-based course is an intermediate-level course in R. Therefore, to get the most of this project, it is essential to have prior experience using R for basic analysis. I recommend that you complete the project titled: "Data Manipulation with dplyr in R" before you take this current project.

您要培养的技能

  • Data Management
  • Data Manipulation
  • Joins
  • R Programming
  • dplyr

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Getting Started

  2. Create and Clean data sets

  3. Inner Join - Part 1

  4. Inner Join - Part 2

  5. Inner Join - Part 3

  6. Full (Outer) Join

  7. Left Join

  8. Optional Practice Task: Right Join

  9. Optional Cummulative Task: Cross, Semi & Anti Join

  10. Wrap up

指导项目工作原理

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在分屏视频中,您的授课教师会为您提供分步指导

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