A code tutorial to accompany https://link.springer.com/article/10.3758/s13428-023-02098-1

Categorization of world countries using socio-economic and health factors

Analysis of BMI and its relationship with sleep disorders, blood pressure, and smoking using the NHANES 2017-2018 dataset, with R for statistical Modeling.

Correlation Analysis between Singapore's GDP & Graduate Employment

Repo for Manzano Analytics HTML website

A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms

Proyecto

Poland social-political consumption research

This project conducts a thorough market analysis of Airbnb listings, encompassing various aspects such as market trends, property types, pricing, occupancy rates, host distribution, and regulatory impacts.

Curso de adquisición y análisis de datos con técnicas multivariadas, teoría de gráficas, y redes.

This project carried out in R applies PCA for dimensionality reduction and K-Means for clustering on the IRIS dataset. It includes EDA, PCA variance analysis, and cluster evaluation using ggplot2 and factoextra. Additionally, it visualizes the impact of reducing dimensions on clustering.

Bitcoin vs marchés traditionnels : corrélations dynamiques et visualisations interactives. M2 — MSc DAB (KEDGE), 2025-2026

Handling Categorical Columns or Variables for Correlation Analysis

Detecting fraud in credit card transactions using a linear regression model on PCA-transformed features. Highly imbalanced data with 492 frauds out of 284,807 transactions.

Continuation of QVI_customer_analytics. This analysis seeks to find out the effect of product layouts on purchase behavior and sales

This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.

The project focuses on a critical and timely theme: assessing the impact of micromobility infrastructure on property values in London. This study sits at the intersection of urban planning, real estate economics, and sustainable transportation, reflecting a growing interest in how emerging mobility solutions contribute to urban life quality.

Exploratory Data Analysis project on the Forecasting of Air Cargo Demand for Southeast Asia. Uses R, Python, and SQLite.

Hesitancy data from CDC was explored for correlational relationships to US Census Bureau Covid19 impact data, and 2020 election data.

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.