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(Webinar) Manipulating and Joining Data in R with dplyr

(Webinar) Manipulating and Joining Data in R with dplyr

Note: Please register here first and your instructor will contact you with a Zoom link to access this webinar.

The dplyr package is a popular R package that people often use to manipulate and join datasets.

Date:
Thursday, April 9, 2020
Time:
1:00pm - 3:00pm
Location:
Online
Audience:
  Faculty/Staff     Students  
Presenter:
Chen Chiu
Categories:
Data Analysis  

Prerequisite: Introduction to R for Absolute Beginners or some experience using R.

You will need to have either some basic knowledge about using R or have previously attended our Introduction to R for Absolute Beginners workshop in order to take this one. You will learn to use several functions, including mutate(), filter(), select(), summarize() and group_by(), in dplyr to manipulate data for the first half of the workshop. For the second part of this workshop, you will learn the join functions (e.g. left_join(), right_join(), inner_join(), semi_join(), anti_join(), full_join(), bind_rows() and bind_cols()) and set operations (e.g. union(), intersect() and setdiff()) in dplyr to combine two datasets. You will have plenty of opportunities to do hands-on activities on your laptop and work on datasets provided by instructors.

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