Data Wrangling in R (online)

Date:

23/11/2022

Organised by:

The University of Edinburgh

Presenter:

Dr Chris Playford, Quantitative Sociologist at the University of Exeter

Level:

Intermediate (some prior knowledge)

Contact:

Laura Marshall
L.marshall@ed.ac.uk
Working week: Monday - Thursday

Venue: Online

Description:

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.  Course Timings: 10:00 - 16:00

 

This is a hands-on workshop using R.

 

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

 

Cost:

The fee per teaching day is: • £30 per day for students registered at UK/EU University. • £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Region:

Scotland

Keywords:

Data Management , Quantitative Software, Data wrangling, R, tidyverse, dplyr

Related publications and presentations:

Data Management
Quantitative Software

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