Easy web publishing from R
Write
R Markdown
documents in RStudio.
Share them here on RPubs.
(It’s free, and couldn’t be simpler!)
Get Started
Recently Published
Quiz 2
Quiz 2
NOAA Storm Database Analysis: Health and Economic Impacts of Severe Weather
This report analyzes the U.S. National Oceanic and Atmospheric Administration (NOAA) Storm Database to determine which severe weather events cause the greatest harm to public health and the economy.
Document
Este trabalho apresenta uma análise estatística de uma base de dados de vendas de restaurante utilizando RMarkdown (Rmd) no RStudio. Foram realizados carregamento, tratamento e organização dos dados da planilha `.xlsx`, além da criação de tabelas estatísticas e gráficos. O objetivo é analisar as vendas e demonstrar a aplicação da análise de dados na tomada de decisão.
Final Project
Final Project DATA 101 Spring 2026.
Project question: How do number of hours worked per week, commute time to work, and education level explain an individual’s annual income?
DocumentUnderstanding Operational Performance in Background Verification Services
This study applies exploratory and inferential analytics to real operational data extracted from the activity ledger of a Nigerian background verification firm. The dataset comprises 553 verified transactions across 43 corporate clients and 6 verification categories — Guarantor, Address, Criminal, Education/Credential, Credit, and Identity — spanning 2019 to 2025, with the bulk of activity in 2024.
Aging - AP
Aging, Afghanistan Pakistan
Neglected Tropical Diseases (NTD) Burden in Kenya
This report presents the sub-county level distribution of Neglected Tropical Diseases (NTDs) across Kenya’s 47 counties and 290 sub-counties. Kenya bears a significant NTD burden, with diseases such as Schistosomiasis, Lymphatic Filariasis (LF), Soil-Transmitted Helminths (STH), Visceral Leishmaniasis (Kala-azar), Trachoma, and Onchocerciasis disproportionately affecting populations in coastal, western, and arid/semi-arid regions.
Plot Identify signaling groups based on structure similarity
Identify signaling groups based on structure similarity
¿Por qué algunos hoteles pierden reservas antes de que el huésped llegue?
Storytelling visual sobre patrones de cancelación en reservas hoteleras reales. El análisis explora cómo el tipo de hotel, la anticipación de la reserva, la estacionalidad y el segmento de mercado influyen en el riesgo de cancelación.