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Data Wrangling in R (online)


Course Information

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Social science data is increasingly complex and routinely requires substantial preparation prior to analysis. This aspect of the data analysis workflow is often overlooked in many courses covering statistical modelling.

This one-day course will demonstrate a range of useful functions using R, through the extensive capabilities of the dplyr and tidyverse suit of commands.

The workshop is specifically designed for social scientists, and social science data and examples will be showcased throughout the workshop.

The event is intended to be engaging and informative, it will be delivered online during the COVID-19 crisis.

This is a hands-on workshop using R.

Course Code


Course Leader

Dr Chris Playford, quantitative sociologist, University of Exeter
Course Description

This is not an introductory workshop. In order to benefit from the workshop participants must already have some experience of using R.
Students will need to have installed R and RStudio. These are available from:

R https://www.r-project.org
RStudio https://www.rstudio.com

Course Timings: 10:00 – 16:00

Target audience: Social scientists researchers who are at any career-stage are welcome. Researchers working with large-scale and complex datasets (e.g. social surveys, longitudinal datasets and administrative records) will find this workshop especially valuable for future data wrangling operations.

10:00 – 10:10 Welcome
10:10 – 10:45 Introduction
10:45 – 11:00 Tea Break
11:00 – 12:00 Session 1
12:00 – 13:00 Lunch
13:00 – 13:45 Session 2
13:45 – 14:00 Tea Break
14:00 – 14:50 Session 3
14:50 – 15:00 Break
15:00 – 15:30 Session 4
15:30 – 16:00 Concluding Remarks

The course covers:
• Working with packages in R
• Reading different data formats
• Selecting, ordering and filtering data
• Recoding variables
• Aggregating or grouping data
• Merging or joining datasets
• Reshaping or pivoting data (between wide and long formats)
• Using tidyverse
• Using dplyr

By the end of the course participants will:
• Be able to read and work with a range of datasets in R
• Understand the principles of working with different types of variable
• Be aware of the range of possible data wrangling commands available
• Recognise the importance of a systematic and logical workflow

StartEndPlaces LeftCourse Fee 
23/11/202223/11/20220[Read More]

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