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Blog posts

Global Internet Usage Trend Analysis

Identifying Traits of Sports Talent in Malaysian Children Through Motor Performance

Manhattan’s Urban Forestry Report, 2015

Patient Characteristics and Readmission Modeling

Student Satisfaction and Academic Performance in Remote Learning

The Anatomy of Baldness: Statistical & Machine Learning Perspectives on Key Factors of Hair Loss

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Global Internet Usage Trend Analysis

Ranking third out of 1,500+ submissions in the How Much of the World Has Access to the Internet? competition, this report analyzes World Bank data from 1990 to 2019 to investigate global internet accessibility. It highlights countries and regions by usage rates and total users and reveals a strong positive correlation between usage and broadband subscriptions.

Identifying Traits of Sports Talent in Malaysian Children Through Motor Performance Permalink

This project—which earned first place in a 24-hour DataCamp challenge—investigates how the Motor Performance Index (MPI), based on four essential motor skills (power, speed, flexibility, and coordination), relates to children’s attributes such as age, gender, weight, and height. Through multiple linear regression, it identifies the most significant predictors of motor performance, offering valuable insights for early sports talent identification.

Manhattan’s Urban Forestry Report, 2015

This analysis of census data on more than 60,000 street trees across Manhattan won first place in Which Tree Species Should the City Plant? competition. It evaluates spatial distribution, biological characteristics, and biodiversity while ranking species by median trunk diameter and health index, presenting evidence-based recommendations for future tree planting.

Patient Characteristics and Readmission Modeling

This report analyzes ten years of hospital data (n ≈ 25,000) from 130 US hospitals to identify high-risk groups for readmission. Using multivariate logistic regression, it measures the effects of variables such as age, diabetes diagnosis or medication, and length of stay on patient readmission, supporting targeted follow-up care after discharge.

The Anatomy of Baldness: Statistical and Machine Learning Perspectives on Key Factors of Hair Loss

In this Crack the Code of Hair Loss first-place entry, survey responses from 999 patients were analyzed to identify factors contributing to hair loss. The report integrates association measures, machine learning models, and feature importance analysis to uncover links between baldness and age, medical history, stress, and lifestyle, offering actionable insights for health management and medical intervention.

Student Satisfaction and Academic Performance in Remote Learning

This report analyzes the remote learning experiences of University of the Philippines students using survey-scale data collected more than a year after the onset of the COVID-19 pandemic. It examines respondent demographics, summarizes satisfaction and academic performance scale ratings, and explores the correlations among scale items. The findings highlight patterns that can inform strategies for enhancing online instruction.

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