Learn about managing missing data in R with data from British social attitudes (2016) : people's attitude towards plane travel / Abigail-Kate Reid, Nick Allum
Examples of missing data can be found in almost every dataset. Simply put, data are missing when information that is present in variables for some cases is not present for others. Missing data can pose a problem for the analysis of the data and for drawing appropriate inferences. This guide provides a basic introduction to dealing with missing data in survey research using examples from the British Social Attitudes Survey 2016. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R
