Analytics Applied To Italy’s 2018 Political Elections – Voter Turnover
In this first post about the subject we want to share one of many interesting findings which are the results of an exercise aimed to challenge our practitioners with the analysis of aggregated data as well as to test the potential of the integration of Cran-R within Microsoft Power BI.
Our analysts used typical descriptive statistics tools and techniques to analyze the results of the last Italy’s political election.
In order to do so we used the many available demographic and economic data of more than 99% of the Italian Municipalities and, obviously, their individual electoral results.
As known Italy’s last political elections have been characterized by a record low 72.9% voter turnout as 27.1 eligible voters did not cast their vote.
Continue reading: Analysis of Voter Turnover
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