This interactive dashboard presents key performance indicators (KPIs) for a microfinance institution based on a sample of operational data from 2024. The analysis explores trends in membership growth, borrower activity, loan distribution, income and deposit balances, and portfolio at risk (PAR) across regions, provinces, and branches. The dashboard aims to support strategic decision-making by visualizing performance across time and geography. Data shown here is based on a 20% random sample of the full dataset to ensure compatibility with R Pubs and preserve privacy, while maintaining statistical representativeness.

The dataset used in this analysis originates from a microfinance institution’s operational records and captures a range of key performance indicators (KPIs) relevant to financial services and outreach activities. Each record typically represents performance metrics at a branch level for specific dates, with the data spanning across different regions, provinces, and branches. The dataset enables monitoring of organizational performance across multiple levels—branch, province, and region—helping to identify trends in membership, lending, income generation, and credit risk.

This exploratory data analysis (EDA) examines the Breast Cancer Wisconsin dataset to identify key cellular features—such as clump thickness, bare nuclei count, cell size, and cell shapes—that distinguish between malignant and benign cases of tumors. Using statistical tests and interactive visualizations, we assess their diagnostic potential and relationships. Findings confirm these features are strong predictors of malignancy.