wdiexplorer: An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data

The World Development Indicators (WDI) database provides a wide range of global development data, maintained and published by the World Bank. Our $\mathit{\text{wdiexplorer}}$ package offers a comprehensive workflow that sources WDI data via the $\mathit{\text{WDI}}$ R package, prepares and explores country-level panel data of the WDI through computational functions to calculate diagnostic metrics and visualise the outputs. By leveraging the functionalities of $\mathit{\text{wdiexplorer}}$ package, users can efficiently explore any indicator dataset of the WDI, compute diagnostic indices, and visualise the metrics by incorporating the pre-defined grouping structures to identify patterns, outliers, and other interesting features of temporal behaviours. This paper presents the $\mathit{\text{wdiexplorer}}$ package, demonstrates its functionalities using the WDI: PM${}_{2.5}$ air pollution dataset, and discusses the observed patterns and outliers across countries and within groups of country-level panel data.