GBADs Data Quality Insights

Census Data Quality Research By Ian McKechnie For the Global Burden of Animal Diseases Check us out! GBADsKE Description of this roject As the saying goes, "Garbage in, Garbage out". This project is to evaluate the quality of data from the FAOSTAT, WOAH, UN Census, and individual country data for future modelers to understand the quality of the data before they use it in their models. You can read the report on the findings from using the tools in this repo. Findings from this tool are currently pending review before being published. Stay tunned on the GBADsKE website for more information. Project Requirements Python V3.10   To use this project Run these commands in the project folder you must be using python3 with a version <3.11. (I used python3 version 3.10 for development) cd src pip3 install -r requirements.txt python3 app.py Data sources FAOSTAT and WOAH/OIE come from the API Census data from countries is in the S3 bucket (on AWS) National data needs to be harvested from Stats agencies of countries Counties Ethiopia Canada USA Ireland India Brazil Botswana Egypt South Africa Indonesia China Australia New Zealand Japan Mexico Argentina Chile Possible species that can be viewed (depends on country) Cattle, Beef Cattle, Dairy Cows, Sheep, Goats, Pigs, Chickens, Horses, Buffaloes, Ducks, Turkeys, Ostrichs, Asses and Mules, Mules, Asses, Wild Boars, Boar, Bison, Elks, Llamas/Alpacas, Alpacas and Llamas, Ostriches and Emus, Alpacas, Llamas, Deer, Minks, Foxes, Rabbits, Other Fowls, Geese, Guinea Pigs, Poultry, Camels, Pigeons, Geese and Ducks, Bees, Beehives, Mithuns (Bovine), Equines, Broilers, Laying hens, Hen, “Mules, Asses”,