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Statistical Analysis of Urban Waste

SAS
Reporting
PCA
Clustering

An in-depth statistical analysis of urban waste data across municipalities in Friuli-Venezia Giulia for a university exam project.

Published

January 10, 2025

PDF source code

This project involves a comprehensive statistical analysis of urban waste data from the municipalities in Friuli-Venezia Giulia, conducted as part of a university exam in Computational Statistics and Multivariate Models.

The analysis began with data cleaning in R, followed by a detailed statistical examination using SAS. Univariate and multivariate analyses were performed, including correlation matrix calculations and both hierarchical and non-hierarchical clustering analyses. A subsequent PCA was conducted to assess the representativeness of the clustering, with clusters visually represented on the first two principal components.

The integration of Quarto documents provides a clear presentation of the methodology and results. The entire analysis and documentation are in Italian, offering insights into waste management practices and patterns across the region.

Note

The analysis and documentation are in Italian.

Download PDF file.

DE LUCA ERIK, P.IVA: IT01401250327
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Copyright 2024, Erik De Luca

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