In this data dive, I examine the Statistical Performance Indicators dataset from the World Bank to identify unclear elements in the data and documentation. The dataset contains 4,340 rows and 12 columns, with each row representing a country in a specific year. The goal is to critically evaluate what's clear, what's unclear, and what issues might affect analysis.

In this data dive, I will explore how different random samples from the same dataset can produce varying results. This helps demonstrate how sampling variability can influence the conclusions we draw from data.

This notebook explores group-by analysis and probability concepts using a country–year dataset. It examines regions, income levels, population summaries, and region–income combinations to identify rare, common, and missing patterns.

Summary statistics and visual exploration of the dataset