CodingPharmer

Showing how to use a simple Python script to parse the CSV files from VAERS and compare COVID19 reports to everything else. Use this link for VCS url: https://github.com/calebwsaunders/VAERS_verification VAERS data: https://vaers.hhs.gov/data/datasets.html Just download the desired zip folder into the directory of main.py file and extract directly in that file.

Using the Python programming language to do a quick analysis of VAERS data. Specifically looking at reported deaths in order to help the national dialogue concerning the COVID-19 vaccines. Copy and paste this link to setup your program: https://github.com/calebwsaunders/VAERSData The data for total number of vaccines given in the video was off by a factor of ten. Per the rest of the site the total number administered should have been 129,137,000. That would mean that the calculated mortality rate would be: 0.0044%

Copy and paste the below URL to clone the program: https://github.com/calebwsaunders/Collateral_Assignments Remember that both Excel files need to end with ".xlsx", but they don't have to be named the way I named them in the video.

URL: https://github.com/calebwsaunders/AutomationOptimization Using python to clean up the dispense report data from MHSG in order to efficiently scrutinize the usage of a site's automation.

Copy the below link into the URL box to clone the code: https://github.com/calebwsaunders/DUR_Excel_Generator Remember that the files you want to combine must be '.xlsx' and that the script will combine all '.xlsx' files together that are in the folder when you hit the 'play' button. So if you are using this repeatedly over years make sure you clean out last years files before running the script again with the most recent years data.