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ColombiAPI  

Access Colombian Data via APIs and Curated Datasets
View on CRAN: Click here


Download and install ColombiAPI package within the R console
Install from CRAN:
install.packages("ColombiAPI")

Install from Github:
library("remotes")
install_github("cran/ColombiAPI")

Install by package version:
library("remotes")
install_version("ColombiAPI", "0.3.1")



Attach the package and use:
library("ColombiAPI")
Maintained by
Renzo Caceres Rossi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-09
Latest Update: 2025-02-16
Description:
Provides a seamless interface to access diverse public data about Colombia through the 'API-Colombia', a RESTful API. The package enables users to explore various aspects of Colombia, including general information, geography, and cultural insights. It includes five API-related functions to retrieve data on topics such as Colombia's general information, airports, departments, regions, and presidents. Additionally, 'ColombiAPI' offers a built-in function to view the datasets available within the package. The package also includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, and malls in Bogota, making it a comprehensive tool for exploring Colombia's data. For more details on the 'API-Colombia', see <https://api-colombia.com/>.
How to cite:
Renzo Caceres Rossi (2025). ColombiAPI: Access Colombian Data via APIs and Curated Datasets. R package version 0.3.1, https://cran.r-project.org/web/packages/ColombiAPI. Accessed 14 Mar. 2026.
Previous versions and publish date:
0.1.0 (2025-01-09 16:00), 0.1.1 (2025-02-16 07:10), 0.2.0 (2025-09-17 21:20), 0.3.0 (2025-09-30 00:00)
Other packages that cited ColombiAPI R package
View ColombiAPI citation profile
Other R packages that ColombiAPI depends, imports, suggests or enhances
Complete documentation for ColombiAPI
Functions, R codes and Examples using the ColombiAPI R package
Full ColombiAPI package functions and examples
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