Covid Trends Mapping with NYT's Github and Visualizations

With Covid on everyone's mind, this dataset looks at the cases and death trends.

Visualizations of trends in cases/deaths
Analysis on what 'wave' we are on
Adding different metrics, such as daily changes, percent change, 7/14/42 SMA,
I have also included a simple linear prediciton model that uses scikit learn (at present, it is very simple but gives some estimate of what deaths might do).

I have been slowly looking through PBL (Project-based learning) where I do exploratory data analysis. I am sourcing my data from NYT's github.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
Covid_Social_Mobility.ipynb		Covid_Social_Mobility.ipynb
Covid_Social_Mobility_update.ipynb		Covid_Social_Mobility_update.ipynb
README.md		README.md
SMA_with_visualizations.ipynb		SMA_with_visualizations.ipynb
USA_MD_Covid_Mapping_Short_Project.ipynb		USA_MD_Covid_Mapping_Short_Project.ipynb
USA_MD_Covid_Mapping_Short_Project_update.ipynb		USA_MD_Covid_Mapping_Short_Project_update.ipynb
Updated Covid Data.csv		Updated Covid Data.csv
cleaned_covid_visualizations.ipynb		cleaned_covid_visualizations.ipynb
cleaned_covid_visualizations_update_3.ipynb		cleaned_covid_visualizations_update_3.ipynb
cleaned_covid_visualizations_v2.ipynb		cleaned_covid_visualizations_v2.ipynb
covid_data_clean.py		covid_data_clean.py
covid_dataset_creation.ipynb		covid_dataset_creation.ipynb
covid_visualizations_county.ipynb		covid_visualizations_county.ipynb
covid_visualizations_county_MD.ipynb		covid_visualizations_county_MD.ipynb

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