R interface to access, explore and visualize CEPALSTAT indicators
CEPALSTAT Portal · Paper (LACCEI 2024) · Report Issue
CepalStatR is an R package that provides a reproducible and user-friendly interface to access data and metadata from CEPALSTAT, the statistical portal of the Economic Commission for Latin America and the Caribbean (ECLAC/CEPAL).
The package is designed to simplify the interaction with the CEPALSTAT API, allowing users to:
It is particularly useful for researchers, analysts, and students working with Latin American and Caribbean statistics.
Install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("Henry-Osorto/CepalStatR")library(CepalStatR)
# Interactive indicator browser
viewer.indicators()
# Download the indicator hierarchy as a data frame
indicators <- call.indicators()
# Download indicator data
df <- call.data(id.indicator = 1)
# Available countries
countries()
# Population pyramids
pyramids(country = "Honduras", years = c(1, 5, 10, 15))
# SDG ranking
ranking.sdg(id.indicator = 3682)
# Interactive thematic map
topic_map()call.indicators() — downloads the thematic structure of
CEPALSTAT indicatorsviewer.indicators() — displays the indicator hierarchy
in an interactive HTML tabletopic_map() — creates an interactive thematic tree of
indicatorscountries() — returns the list of available countries
from CEPALSTAT dimensionscall.data() — downloads indicator data and returns an
analysis-ready data framepyramids() — generates population pyramids using
CEPALSTAT demographic indicatorsranking.sdg() — creates ranking plots for indicators
associated with the Sustainable Development Goals
All data and metadata are obtained from CEPALSTAT:
https://statistics.cepal.org/portal/cepalstat/
CEPALSTAT provides a rich statistical infrastructure for Latin America and the Caribbean, but direct use of its API may be cumbersome for many users. CepalStatR simplifies that process by offering a consistent R interface for metadata discovery, reproducible data acquisition, tidy outputs, and built-in visual tools for exploratory and applied analysis.
This makes the package especially suitable for:
If you use CepalStatR in academic work, please cite the conference paper that documents the package:
Osorto, H. (2024). CepalStatR: a package in R for access to ECLAC statistics. 22nd LACCEI International Multi-Conference for Engineering, Education, and Technology. https://doi.org/10.18687/LACCEI2024.1.1.1473
@inproceedings{Osorto2024CepalStatR,
author = {Henry Osorto},
title = {CepalStatR: a package in R for access to ECLAC statistics},
booktitle = {22nd LACCEI International Multi-Conference for Engineering, Education, and Technology},
year = {2024},
doi = {10.18687/LACCEI2024.1.1.1473}
}The package currently includes a CRAN-ready structure, interactive exploration tools, indicator retrieval functions, and built-in visualization features. Future development may extend the package with additional metadata utilities, thematic graphics, and analytical workflows.
Bug reports, suggestions, and feature requests are welcome through the GitHub issue tracker:
https://github.com/Henry-Osorto/CepalStatR/issues