wdiexplorer: An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917070810120192 |
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| author | Akinfenwa, Oluwayomi Cahill, Niamh Hurley, Catherine |
| author_facet | Akinfenwa, Oluwayomi Cahill, Niamh Hurley, Catherine |
| contents | The World Development Indicators (WDI) database provides a wide range of global development data, maintained and published by the World Bank. Our \textit{wdiexplorer} package offers a comprehensive workflow that sources WDI data via the \textit{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 \textit{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 \textit{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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_07027 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | wdiexplorer: An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data Akinfenwa, Oluwayomi Cahill, Niamh Hurley, Catherine Computation Applications The World Development Indicators (WDI) database provides a wide range of global development data, maintained and published by the World Bank. Our \textit{wdiexplorer} package offers a comprehensive workflow that sources WDI data via the \textit{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 \textit{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 \textit{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. |
| title | wdiexplorer: An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data |
| topic | Computation Applications |
| url | https://arxiv.org/abs/2511.07027 |