Global-School-Closures-for-COVID-19
OpenML dataset with id 43554
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102379/Global-School-Closures-for-COVID-19.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 4 (numeric: 0, symbolic: 0 and in total binary: 0 )
Number of instances: 41,714
Number of instances with missing values: 0
Number of missing values: 0
The number of children, youth and adults not attending schools or universities because of COVID-19 is soaring. Governments all around the world have closed educational institutions in an attempt to contain the global pandemic.
According to UNESCO monitoring, over 100 countries have implemented nationwide closures, impacting over half of worlds student population. Several other countries have implemented localized school closures and, should these closures become nationwide, millions of additional learners will experience education disruption.
This data is compiled by the UNESCO and distributed by HDX.
This page was built for dataset: Global-School-Closures-for-COVID-19