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county-covid-analysis's Introduction

Covid County Analysis

This git repository contains the code for covid analysis of USA counties. We have an etl script which loads data every day and an exposed api that provides details at zipcode and day level

Environment

  • Python version used is 3.7
  • Pipenv is used for python package management
  • Python Packages required our specified in Pipfile

Running Instructions -

Running ETL for current load

bash docker_start.sh etl.py or python etl.py

Running ETL for historical load

bash docker_start.sh "etl.py history" or python etl.py history

Running api

bash docker_start.sh covid_api.py or python covid_api.py

Test cases

Test Case 1 - one_to_one_mapping:

We find an exact match to county mapping and zip belongs to only one county. Observe that esitmated cases is
less than cases in counties because it is divided by number of zipcodes in the county to estimte zipcode level data

Test Case 2 - test_unsuccessfull_county_match:

We find no match to county mapping and cannot find the populatin and therefore rate is null. Zip belongs to only one county. Observe that esitmated cases is
less than cases in counties because it is divided by number of zipcodes in the county to estimte zipcode level data

Test Case 3 - no_mapping:

When we find no mapping for counties or no mapping because respective dates are missing, then estimated cases and rate values are null

Test Case 4 - multiple_counties_zip:

When we find a zip lies in multiple counties, we multiply and sum over the tot_ration to get estimated counts

county-covid-analysis's People

Contributors

sohiljain avatar

Watchers

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