Joining Data in R using dplyr

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Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Perform different join operations using the merge() function

Perform different join operations using dplyr join functions

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

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

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  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

안내형 프로젝트 진행 방식

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분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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