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Data cleaning in R

Data cleaning in 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? This workshop will provide tools to efficiently clean data in R.

Date:
Thursday, April 2, 2020
Time:
10:00am - 12:30pm
Location:
BLC 4040
Campus:
Homewood campus
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. 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.

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Data Services