Our weekly review of the current COVID data and country comparisons as well as other oddities such as Mask Litter, Trash Cans, and Shoes being unintended spreaders. All this under the guise of Amateur Python Analytics. Brief CSV File Request Code below (Pandas). That will allow you to pull Oxford University Data up to the current date. Enjoy 😉
This is a long one, next week I will make it A LOT shorter.
#covid19 #sarscov2 #data
Code Snippet:
import pandas as pd
import csv
import requests
younameit = pd.read_csv(‘https://covid.ourworldindata.org/data/owid-covid-data.csv’)
https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/deathsduetocoronaviruscovid19comparedwithdeathsfrominfluenzaandpneumoniaenglandandwales/deathsoccurringbetween1januaryand31august2020
https://wwwnc.cdc.gov/eid/article/26/7/20-0885_article
https://www.eurekalert.org/pub_releases/2020-10/uoh-rci100120.php#.X3fUGZsAGM0.wordpress
https://www.cidrap.umn.edu/news-perspective/2020/04/commentary-masks-all-covid-19-not-based-sound-data
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Categories: Misc....
Tags: Alchepharma, Alternative, bias, biostatistics, corona, corona virus, covid, current, Data, data analytics, dr, dr fauci, failed lockdowns, fauci, Health, is it working, John Hopkins, lockdowns, mask failure, mask spread, mask vector, matploblib, medical, newsom, other countries, Oxford, PANDAS, Pandemic, pandemic failure, peer reviewed, physical distance, published, Python, Ralph Turchiano, Rand Paul, sar cov 2, Scandinavian, social distancing, starvation, study, Sweden, Tuberculosis