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The challenge is to build a model to correlate the changes in party vote share at ward level (between the 2014 and 2018 local elections) with ward level demographic data from the census. If you have time you can also build in historic election results.
Use this model to identify the wards that are significant outliers.
Data sources
2014 & 2018 Election results use this to work out the change in party vote share - explore here for data sets: https://github.com/CampaignLab/data-pipeline or ask someone who has been before.
The challenge is to build a model to correlate the changes in party vote share at ward level (between the 2014 and 2018 local elections) with ward level demographic data from the census. If you have time you can also build in historic election results.
Use this model to identify the wards that are significant outliers.
Data sources
Public health data at ward level can be found here: https://github.com/CampaignLab/healthcare/blob/master/localhealth/health_data_merged_with_election_results.csv
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