This report analyzes data from 187 countries to understand what drives overall statistical performance. Using the World Bank Statistical Performance Indicators (SPI) dataset from 2023, we explore which data capability dimensions -- such as data use, data products, and data infrastructure -- are most strongly associated with a country's overall score.

This report analyzes data from 187 countries to understand what drives overall statistical performance. Using the World Bank Statistical Performance Indicators (SPI) dataset from 2023, we explore which data capability dimensions – such as data use, data products, and data infrastructure – are most strongly associated with a country’s overall score. The analysis includes exploratory data visualizations, a hypothesis test comparing income groups, and regression models to identify the strongest predictors. The findings are intended to help international development organizations decide where to focus their investments when supporting countries with weak data systems.

explores data and builds models to predict algae blooms in rivers based on environmental data

Different frog species have different calls that they rely on, especially during breeding season. Many species call during specific times of the year, while others call year‑round. Understanding these seasonal patterns can help biologists keep an eye on populations, environmental change, and identify species that may be vulnerable to climate‑driven shifts. In this project, we use the FrogID dataset (2025 TidyTuesday) to determine if different frog species have distinct calling seasons.