smach, 1 month ago Ari Lamstein says his "Visualizing the Impact of Covid-19 on US Counties" blog post may be of interest if you want to "learn how to build data apps in Python, as the entire project is released under a permissive license (MIT), and is publicly available on GitHub." Post: https://arilamstein.com/blog/2024/05/04/visualizing-the-impact-of-covid-19-on-us-counties/ Streamlit app: https://census-explorer.streamlit.app/ GitHub repo: https://github.com/arilamstein/censusdis-streamlit/tree/main #Python #Streamlit #Covid19 #dataviz #ddj #USCensus @python
Ari Lamstein says his "Visualizing the Impact of Covid-19 on US Counties" blog post may be of interest if you want to "learn how to build data apps in Python, as the entire project is released under a permissive license (MIT), and is publicly available on GitHub." Post: https://arilamstein.com/blog/2024/05/04/visualizing-the-impact-of-covid-19-on-us-counties/ Streamlit app: https://census-explorer.streamlit.app/ GitHub repo: https://github.com/arilamstein/censusdis-streamlit/tree/main
#Python #Streamlit #Covid19 #dataviz #ddj #USCensus @python
failedLyndonLaRouchite, 1 month ago @smach @python I may be totally wrong, but I thin @charlesgaba was the 1st person to do county level data sorted by vote share for Trump or Biden, with the astonishing finding that red (trump) counties had more covid at least after intro of vaccines
@smach @python
I may be totally wrong, but I thin @charlesgaba was the 1st person to do county level data sorted by vote share for Trump or Biden, with the astonishing finding that red (trump) counties had more covid at least after intro of vaccines
smach, 1 month ago @failedLyndonLaRouchite @python It's definitely not a new discovery. I think the code is probably of more interest.
@failedLyndonLaRouchite @python It's definitely not a new discovery. I think the code is probably of more interest.
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