unesco-reader 0.1.2

Tools to extract and work with UNESCO Institute of Statistics (UIS) data

unesco_reader

unesco_reader is a python package to explore and extract data from UNESCO Institute of Statistics (UIS).

Motivation

Currently there is so API service to query UIS data (as of 23 June 2020). The only way to download UIS data is through the explorer or through their bulk download services, by downloading a zipped folder for each dataset locally. This package allows you to explore UIS datasets programmatically. The other motivation is to actively learn python development, packaging, and testing.

Installation

unesco_reader can be installed from PyPI: from the command line:

pip install unesco-reader

Usage

Basic Usage

Use with Python

To use, import the uis module from unesco_reader

from unesco_reader import uis

You can see available datasets or retrieve information for a particular dataset

To see all available datasets from UIS, run the following function:

print(uis.available_datasets()

>>> ['SDG', 'OPRI', 'SCI', 'SDG11', 'DEM']

Optionally you can return available datasets as names, and see available datasets that belong to a particular category.

print(uis.available_datasets(as_names=True, category='education'))

>>> ['SDG Global and Thematic Indicators' 'Other Policy Relevant Indicators']

To see details about a particular dataset, call the dataset_info() function passing in either the dataset code or name.

uis.dataset_info('SDG')

>>> ----------------  ----------------------------------------------------------------------------------------
    dataset_name      SDG Global and Thematic Indicators
    dataset_code      SDG
    dataset_category  education
    regional          True
    link              https://apimgmtstzgjpfeq2u763lag.blob.core.windows.net/content/MediaLibrary/bdds/SDG.zip
    ----------------  ----------------------------------------------------------------------------------------

To exctract and explore the data in a particular dataset, use the UIS class. A UIS object allows a user to

• extract the data, either from directly from UIS bulk download services, or from a zipped file downloaded locally
• explore the data easily and retrieve relevant information about the data

To use, create an instance of UIS, passing either the dataset code or name. Here we create an object for the "SDG" dataset.

from unesco_reader.uis import UIS
sdg = UIS("SDG")

Once instantiated, you can retrieve relevant information about the dataset

sdg = UIS("SDG")
print(sdg.name)

>>> 'SDG Global and Thematic Indicators'

To load the data to the object, use the load_data method. If you already downloaded the zipped file from UIS, you can pass a path to the file, and the data will be read from this local path. Otherwise, the data will be exctracted directly from the web.

sdg = UIS("SDG")
sdg.load_data()

To retrieve the data as a dataframe, use the get_data method.

sdg = UIS("SDG")
sdg.load_data()
df = sdg.get_data()
print(df)

The above code would result in a dataframe similar to this:

INDICATOR_ID	INDICATOR_NAME	COUNTRY_ID	COUNTRY_NAME	YEAR	VALUE
ADMI.ENDOFLOWERSEC.MAT	Administration of a nationally-representative...	ABW	Aruba	2014	0.0
ADMI.ENDOFLOWERSEC.MAT	Administration of a nationally-representative...	ABW	Aruba	2015	0.0
ADMI.ENDOFLOWERSEC.MAT	Administration of a nationally-representative...	ABW	Aruba	2016	0.0
ADMI.ENDOFLOWERSEC.MAT	Administration of a nationally-representative...	ABW	Aruba	2017	0.0
ADMI.ENDOFLOWERSEC.MAT	Administration of a nationally-representative...	ABW	Aruba	2018	0.0

You can pass in additional parameters specifying to return regional data (if available in the dataset) and to include metadata in the dataframe

sdg.get_data(grouping="regional", include_metadata=True)

To see additional information about the dataset use the info method

sdg.info()

>>> --------------------  ----------------------------------------------------------------------------------------
    code                  SDG
    name                  SDG Global and Thematic Indicators
    url                   https://apimgmtstzgjpfeq2u763lag.blob.core.windows.net/content/MediaLibrary/bdds/SDG.zip
    category              education
    available indicators  1609
    available countries   241
    time range            1950 - 2022
    available regions     179
    --------------------  ----------------------------------------------------------------------------------------

Several other tools to explore the data exist (full documentation coming soon) and additional tools will be added as this package is in active development Any suggestions for new features or improvements are welcome!

• Free software: MIT license
• Documentation: https://lpicci96.github.io/unesco_reader

Credits

This package was created with Cookiecutter and the giswqs/pypackage project template.