How do I spend my day? This project tracks and visualizes my activities and sleep trends from February 5th to February 24th, 2025

Berisi hasil eksplorasi dan visualisasi data kategorik menggunakan bahasa R dan paket ggplot2. Dataset yang digunakan adalah "infert", yang berisi informasi tentang wanita yang mengalami atau tidak mengalami infertilitas, serta beberapa variabel lainnya seperti tingkat pendidikan, jumlah kehamilan sebelumnya, dan riwayat aborsi. Dimana ada beberapa visualisasi yang diterapkan, yaitu : BarChart, Needle Chart, Grouped BarChart, Stacked Chart, Pie Chart, Dan Spasial.

An interactive visualization exploring the relationship between PM2.5 concentrations and asthma burden across California counties. This analysis uses data from the CalEnviroScreen 4.0 dataset to highlight patterns and disparities in air quality and health outcomes. The visualization features dynamic bubble plots, where bubble size represents population, enabling users to explore trends interactively

My culminating project involves building a logistic regression model to predict the likelihood of heart disease based on Gender, Age, Maximum Heart Rate, and Resting Blood Pressure.

Script of data frame edits and conversions to sf format.