Explaining Brexit and Trump using Tidy Data Graphics

Date:

02/05/2018

Organised by:

Consumer Data Research Centre (Leeds)

Presenter:

Dr Roger Beecham

Level:

Entry (no or almost no prior knowledge)

Contact:

Kylie Norman
0113 3430242
k.r.norman@leeds.ac.uk

Map:

View in Google Maps  (LS2 9JT)

Venue:

Leeds Institute for Data Analytics (LIDA)
Level 11, Worsley Building
University of Leeds,
Leeds

Description:

2016 was an eventful year. The narrow votes in favour of Brexit in the UK and Trump in the US were a shock to many. You’ve probably heard commentators remark on the underlying causes for why people voted as they did. A familiar caricature is of blue collar disaffection (Leave and Trump) versus liberal, metropolitan values and relative affluence (Remain and Clinton). But is this true of the entirety of the UK and US?

In this workshop you'll analyse datasets describing UK Local Authority and US county voting behaviour alongside key area-level socio-demographic variables. You'll compare and evaluate the extent to which those demographics explain area-level variation in the vote. Importantly, you'll explore whether explanations vary for different parts of the UK and US. You'll do so by developing a family of data graphics (in R) that together reveal a data story behind the vote.

In addition to understanding a little more about the political phenomena, you will:

  • learn how to data wrangle, reshape and curate in R
  • appreciate some key principles of good data visualization design
  • confidently generate data graphics using a consistent vocabulary (ggplot2)
  • develop an intuitive understanding of statistical modelling procedures.

Cost:

Students £70; University; public and charitable sector staff £120; all others £300.

Website and registration:

Region:

Yorkshire and Humberside

Keywords:

Quantitative Data Handling and Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis

Back to archive...