Display various patient statistics in a visual format

Use pip which is a python package installer to install all the required libraries used in the code. There are not too many and your IDE should let you install via the IDE itself. If not, use the following command:

  pip install

I used FHIRworks_2020 github repo to extract patient data. Carefully read the README instructions and ensure you have installed the correct versions for any required software and correctly setup the FHIR API credentials in appsettings.json. Now that you have the basics, clone this repository.

On the terminal, type

cd FHIRworks_2020\dotnet-azure-fhir-web-api

Then run the following command in the terminal. This should work if everything has been set-up correctly. If not, refer back to the set-up instructions.

dotnet run

As shown in the demo video, run api.py. You can either do this in visual studio or run the following command on the terminal:

python api.py

You can now choose which graph to display by running any of the following three commands:

python Graph1.py
python Graph2.py
python Graph_3.py

Graph 1 - Age Statistics displays a horizontal bar chart of "average ages by gender"
Graph 2 - Marriage Statistics displays a stacked bar chart split by "proportion of married/unmarried females/males"
Graph 3 - Language Statistics dispays a chart of the number of patients who speak a particular language

FHIR-parser by Ethan Wood to simplify parsing patient data
FHIRworks_2020 which we were given by GOSH