Consumes the UIS Bulk Data Download System (BDDS): get, select, subset, merge metadata/labels, search, other utilities
uisdata is a library for easy data access and manipulation of the datasets offered by the UNESCO Institute for Statistics (UIS).
uisdata.bdds is the first module developed to consume the dataset archives of the Bulk Data Download System (BDDS) repository.
The test version of the source code is currently hosted on PyPi at:
https://pypi.org/project/uisdata/
uisdata requires a python 64-bit version. It has not been tested extensively to find the minimal viable version, but it will work on: python >=3.6 (64-bit)
pip install -i https://pypi.org/simple/ uisdata
uisdata.bdds has not been tested extensively to find the minimal viable versions for its dependencies.
It requires the following libraries:
requests - a standard for making HTTP requests in Python. It abstracts the complexities of making requests behind a simple API.
pandas - an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures.
numpy - NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.
MIT License
Work on uisdata started in 2021 for facilitating programmatic access to the UIS datasets. It is still under development, and I will be adding features in future iterations.
.bdds Use-case is provided through dataLore.
Clone the notebook to your dataLore account (sign-up required).
Note that the library will self-update to the latest version.
FAQs
Consumes the UIS Bulk Data Download System (BDDS): get, select, subset, merge metadata/labels, search, other utilities
We found that uisdata demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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