Week 3 Data Dive for INFO-H510

This is to test Rpub from RStudio

This report applies unsupervised learning methods, specifically association rule mining, to European Social Survey (ESS Round 10) data to explore social, political, and attitudinal patterns associated with low trust in parliament in Greece. The analysis emphasizes methodological justification, validation, and interpretation of associations.

Exploratory analysis of ski jumping performance using dimension reduction and clustering to identify athlete performance profiles beyond simple ranking.

This project aims to analyze music playlist data to explore the "hidden associations" between different artists. In this study, each user's playlist or listening record is treated as a "Transaction," while the artists are treated as "Items." By utilizing association rule algorithms (Apriori and Eclat), this research seeks to answer the following questions: 1.The "Genre Anchor" Query: Do fans of modern alternative icons like Coldplay exhibit a statistically significant probability of also following The Killers? 2.The Overlap Mapping: Which artist clusters exhibit the highest degree of fanbase overlap, and do these clusters transcend traditional genre boundaries (e.g., Grunge vs. Metal)? 3.Algorithmic Discovery: How does the Apriori algorithm effectively uncover "hidden bridges" between artists—such as the link between Muse and Radiohead—that simple popularity charts might overlook?

Clasificación y estudio inferencial de los miembros geológicos finales de los pozos en Brasil. Se categorizan los datos en grupos ambientales (Continental, Marino, Deltaico) para establecer un modelo de probabilidad empírica y valor esperado.

Analizar el rendimiento académico de los estudiantes de la Costa y Sierra, en sus diferentes niveles asociados y comprobar brechas estructurales mediante el uso de técnicas de estadística descriptiva e inferencial

Estudio estadístico de la litología encontrada al finalizar las perforaciones en Brasil. Incluye procesamiento de datos con forcats, agrupación de formaciones predominantes y un modelo de probabilidad para estimar el tipo de roca en nuevas exploraciones.

Reporting Flexdashboard – Analyse des vols NYC 2013