Ribfest with @megccase

Ribfest with @megccase
As with any analytical project, we invested significant time in obtaining and integrating data for our neighbourhood-level modeling. The Toronto Open Data portal provides detailed election results for the 2003, 2006, and 2010 elections, which is a great resource. But, they are saved as Excel files with a separate worksheet for each ward. This is not an ideal format for working with R.
We’ve taken the Excel files for the mayoral-race results and converted them into a data package for R called toVotes. This package includes the votes received by ward and area for each mayoral candidate in each of the last three elections.
If you’re interested in analyzing Toronto’s elections, we hope you find this package useful. We’re also happy to take suggestions (or code contributions) on the GitHub page.
In our first paper, we describe the results of some initial modeling - at a neighbourhood level - of which candidates voters are likely to support in the 2014 Toronto mayoral race. All of our data is based upon publicly available sources.
We use a combination of proximity voter theory and statistical techniques (linear regression and principal-component analyses) to undertake two streams of analysis:
In both cases we use candidatesβ currently stated positions on issues and assign them scores from 0 (βextreme leftβ) to 100 (βextreme rightβ). While certainly subjective, there is at least internal consistency to such modeling.
This work demonstrates that significant insights on the upcoming mayoral election in Toronto can be obtained from an analysis of publicly available data. In particular, we find that:
We are now moving on to something completely different, where we use an agent-based approach to simulate entire elections. We are actively working on this now and hope to share our progress soon.
Political campaigns have limited resources -βboth time and financial - that should be spent on attracting voters that are more likely to support their candidates. Identifying these voters can be critical to the success of a candidate.
Given the privacy of voting and the lack of useful surveys, there are few options for identifying individual voter preferences:
The goal of PsephoAnalytics* is to model voting behaviour in order to accurately explain campaigns (starting with the 2014 Toronto mayoral race). This means attempting to answer four key questions:
Psephology (from the Greek psephos, for ‘pebble’, which the ancient Greeks used as ballots) deals with the analysis of elections.
The Ex
Last campfire of the vacation
Woodsman
Wilderness
Peaceful spot
Kites are out
My new view.
Birthday breakfast in bed
Fun in the snow
The view from Frost
Scarf
Winter trek
Good view