Predicting future pandemic cases and pollution based on inputted key factors. If you would like to run the Julia file and you do not have Julia installed, please use this: https://mybinder.org/v2/gh/23saumyar/covidData/master . Please note you may have to install additional features in the .toml files in order for the jupyter notebook to run as desired.
CovidPollutionOverTimeJulia.ipynb is the main Julia Jupyter Notebook that asks for user input and produces 3 visuals on COVID-19 cases and NO2 pollution numbers using nearest neighbor.
Mainfest.toml and Project.toml and environment.yml allows you to run Julia on https://mybinder.org/v2/gh/23saumyar/covidData/master
SDGData.xlsx contains key factor and COVID-19 cases data for each country.
codePredictSimilarCountry.py and codePredictSimilarCountry.ipynb are the python script called by the julia Jupyter notebook and contains details on the nearest neighbor process.
covid_data.csv and covid_data_no2.csv are created by the Julia file when current covid-19 data is downloaded from a separate repo.
no2csvData.csv contains NO2 data for each country.
input.txt and request.txt is used to store the inputs and nearest neighbor request, respectively.