Business Understanding

Data Understanding

Data Exploration

Data Visualization

Histograms - distribution and dispersion of each numerical variable

Box Plots - variability and potential outliers within the dayaset

Scatter Plots - potential relationships between customer behaviour variables and monetary value

Data understanding & visualization

Data Preparation

Column Filter - feature selection

Duplicate Row Filter - data cleaning

Missing value - data cleaning

Normalizer - data transformation

Clustering: K-Means

FINAL CLUSTERING SOLUTION

Clustering: Hierarchical

Data Preparation

Missing values - data cleaning

Outliers - anomalies handling

Feature engineering - creating value

Normalizer - feature scaling

Feature selection - reducing noise

Predictive Modeling

Foundational Aspects of Information

Spring Semester 2025-2026

NOVA Information Management School

Bianca Ribeiro nº 20251345

Maria Mestre nº 20251347

Sara Cerdeira nº20251341

Sofia Teles nº20251322