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Data Cleaning in R

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

Do you work with other people’s data? Are there times when you need to clean or reorganize these data to work for you? Join JHU Data Services for this workshop to efficiently clean data in 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. We will give an overview of the concepts of data cleaning and go into great detail with tidyr package. The instructor will walk you through the basic data cleaning steps with tidyr package for the first part of this workshop. Then you will apply these skills to clean a dataset downloaded from Kaggle (https://www.kaggle.com/datasets) at the second part of this workshop. You will have plenty of opportunities to do hands-on activities on your laptop and work on datasets provided by instructors. 

Registration link: https://jhu.libcal.com/event/9436552

 

Date:
Wednesday, September 28, 2022
Time:
1:00pm - 4:00pm
Time Zone:
Eastern Time - US & Canada (change)
Categories:
  Data Science     JHU Data Services  

Instructor

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Data Services