covid-19-data
AWS-ETL-Covid-Pipeline
covid-19-data | AWS-ETL-Covid-Pipeline | |
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347 | 1 | |
6,989 | 0 | |
0.0% | - | |
0.0 | 0.0 | |
about 1 month ago | over 3 years ago | |
Python | ||
GNU General Public License v3.0 or later | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
covid-19-data
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Week 6 [Practice Problems] seven-day-average OUTPUT verification
The NY-Times github repository says that the data will no longer be updated after March 24, 2023. (https://github.com/nytimes/covid-19-data)
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CS50 Week 6 Practice Problems: Seven Day Averages
I am trying to do practice problems about 7 day averages according New York Times repository
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Where to Find Sources of Data for Analysis Purposes?
NYTimes Covid Data
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Fastest way to learn
Find blog articles and tutorials. Find sample datasets, like COVID data from NYT or order data from Instacart
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Pre-market brief
Latest Map and Case Count
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Brain has been effectively washed
Covid-19 wasn’t 1% mortality at the start of the pandemic, it was much higher, and today’s daily remains at a .85% mortality rate for today’s US cases only [1] [2]. As for your comparison, it remains today 9 times deadlier than the flu.
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Event-Driven Python on AWS
New York Times repository updated daily
- Pfizer's COVID-19 mRNA Product is 13-Times Less Effective at Preventing Infection With SARS-CoV-2 than Naturally Acquired Immunity! [Byram Bridle, Jul 20]
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[July 12] 535 Estimated Active Cases, Vaccinations per 100k
All data comes from the NYTimes COVID-19 github.
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Best method for relationship that changes over time?
I am looking at state level data in the USA and my dependent variable is a running COVID case tally at the state level (you can find it here: https://github.com/nytimes/covid-19-data/blob/master/us-states.csv).
AWS-ETL-Covid-Pipeline
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Completing the #CloudGuruChallenge – Event-Driven Python on AWS from ACloudGuru
I decided to tackle all of the compute-job-steps together, as one. I essentially created the ETL Python module first, testing that my code could, in fact, extract and transform public data. Once my Python was working as intended, I could easily set up a Lambda job to run and test this module. I also integrated source control at the beginning; I had to go through several re-writes of my scripts, and GitHub helped me keep track of those changes. Speaking of which, my final code and IaC template can be found here.
What are some alternatives?
MaternalBound-Redux - A new version of MaternalBound, complete with New Controls and MSU-1 integration... And a lot more features!
nl-covid19-data-dashboard - The dashboard provides information on the outbreak and prevalence of COVID-19 in The Netherlands
Cartopy - Cartopy - a cartographic python library with matplotlib support
stata-scheme-modern - Better default plots in Stata
covid-19-the-economist-global-excess-deaths-model - The Economist's model to estimate excess deaths to the covid-19 pandemic
covid-19-excess-deaths-tracker - Source code and data for The Economist's covid-19 excess deaths tracker
covid19-event-risk-planner - COVID19 risk planner R-Shiny application
Klayers - Python Packages as AWS Lambda Layers
ncov - Nextstrain build for novel coronavirus SARS-CoV-2
covid-19-data - Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
videospeed - HTML5 video speed controller (for Google Chrome)
configure-aws-credentials - Configure AWS credential environment variables for use in other GitHub Actions.