South African COVID-19 Vulnerability Map by #ZindiWeekendz
Can we infer important COVID-19 public health risk factors from outdated data?
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South Africa
Prediction
Government
About

South Africa is divided into 4,392 wards. We will aggregate the target indicators (households with 5+ members and no on-premises water) and the other predictive variables from the census across all the households within each ward to create an aggregated value of each indicator per ward. Some wards are for training, the remainder are the test set. You may not use external data for this competition.

Files available for download:

  • Train.csv - is the dataset that you will use to train your model.
  • Test.csv - is the dataset on which you will apply your model to. This dataset contains the same variables as the test data except there is no target. This is what you are predicting.
  • SampleSubmission.csv - is an example of what your submission file should look like. The order of the rows does not matter, but the names of the wards must be correct.
  • VariableDefinitions.csv - is the full list of variables and their explanations.
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