A Pipeline for Data Wrangling and Manipulation with R

In Person 

This workshop will provide a guide for creating a data tidying workflow. It is aimed at researchers who are looking for ways of creating systematic and reproducible data tidying workflows. It will demonstrate how to create a script that systematically works through the multiple steps needed to prepare data for analysis. 

The first half of the workshop will be dedicated to uploading data, strategies for working with repeated measures, and the merging of datasets. The second half of the session will cover the basics of working with missing data, learning how to create new variables, implementing strategies for cleaning data (and dealing with bots…), and finishing off with saving and exporting our processed data. 

We will also demonstrate how R allows us to quickly update and re-run our data tidying/processing, saving us time and effort. Additionally, the R scripts generated will provide transparency to your work and make it simpler to retrace your analytical steps. 

The classes will also dedicate a section of time to Q&A for any data tidying questions participants may have, as well as provide tips and tricks for data tidying problem-solving. 

This course will be taught by Rhys Davies and Alex Crest 

After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.  

More details about Data Surgeries.  

Those who have registered to take part will receive an email with full details on how to get ready for this course.  

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.  

Level   

Some previous knowledge of  R and the RStudio interface would be required to follow the content. If you want to review your familiarity with the R interface, you can look at this video. If you want to refresh the basics of working with R and RStudio, you can sign up for our Getting Started with R for Research.  You will need to be familiar with installing and loading packages and importing datasets.

Learning Outcomes  

• Learn to use the tidyverse functions to prepare your data for analysis
• Create reproducible data tidying scripts that double up as data notebooks to easily communicate and validate your data tidying process
• Learn how to familiarise yourself with trends and patterns within your variables with data visualisation and descriptive summaries

• Learn how to use data wrangling and manipulation techniques to better communicate your analysis with compelling tables and figures

   

Skills   

By attending this course, you will familiarise yourself with the following skills

• Create new variables with tidyverse functions
• Filter out and inspect data using tidyverse functions
• Create tables and figures using tidyverse and gt functions

Explore More Training

• BYOD (Bring Your Own Data) Fest
• Getting Started with Descriptive Statistics
• Getting Started with Inferential Statistics

Return to the Training Homepage to see other available events