Data cleaning and manipulation usually takes up 80% of the time allotted to data analysis project.  This workshop will introduce you to the dplyr package which makes tabular data manipulations easier by using a set of functions to extract and summarize insights from your data. The tidyr package works well with tidyr to quickly convert between different data formats (long vs wide) for graphing and analysis. 

No programming skills are required for this workshop, just an interest and/or desire to learn. 

By the end of this workshop you will be able to: 

• Describe the importance of data cleaning
• Recognize the main types of faulty data
• Summarize the basic R commands used for data cleaning

Audience: This workshop builds upon the material presented in Part 1: Into R and RStudio. This is not an introductory workshop and requires participants to have taken Part 1 or have experience with R.  

Software / Account Requirements: 

Before starting the workshop, please complete the following: 

• Download and Install R 
• Windows User 
• Mac User 
• Install RStudio Desktop 
• What is R used for? Introduction to RStudio basics (5 min) 

PLEASE NOTE: 

When you register for this workshop you are committing to attend the entire workshop unless otherwise confirmed with the instructor.  This workshop is limited to 12 attendees. If you are suddenly not able to attend, please contact us as soon as possible so that we can offer your spot to someone on our waiting list.  

Please note: this workshop will take place online via Zoom. A reminder email with the meeting link will be emailed to you 24 hours before the workshop.

If you have any issues with your install, please contact the IT Help Desk.