Why Am I Doing This?            
          I have been in Information Technology since 2003, and data analysis is but one of my disciplines.
          I am currently pursuing a PhD in Information Technology with dual emphasis on data analytics and information security (which is my profession).
          I plan on using this data for (in some part) my dissertation with the focus being: 1) pattern-based analytics; 2) differential analytics; 3) trending models used for specialized circumstances (e.g. a global pandemic and predictive modeling).
          I find even the primary data sources to focus too much on rolling totals and big datasets but ignoring the smaller, more intricate and revealing data beneath it all - hence the need for differential analytics.
          I also find there is a great deal of panic and ignorance in simply looking at rolling totals; the media has been sensationalizing this very thing, playing on viewers' fears along the way.
                       
        Methodology            
          I take daily snapshots from 1 primary source: RoyLabs (which pulls directly from CDC, WHO and John Hopkins).
          In order to truly capture trending, in particular, one must capture daily (and weekly) data snapshots.
                       
        Definitions            
          Pattern-based Analytics - an overarching method of capturing and analyzing patterns to detect root-cause (analysis), look for trends, and look for any predictors (if any exist)
          Differential Analytics - calculating differences (in the postivve or the negative) between datasets and calculating the results to show pattern-based behaviours (if any exist)
          Trending Models - visual analytical models that help show trends (flat, peak, valley or plateau, up, down)
                       
        Sources              
          WHO dates https://covid19.who.int/explorer        
          RoyLabs daily stats https://youtu.be/NMre6IAAAiU https://docs.google.com/spreadsheets/d/e/2PACX-1vQuDj0R6K85sdtI8I-Tc7RCx8CnIxKUQue0TCUdrFOKDw9G3JRtGhl64laDd3apApEvIJTdPFJ9fEUL/pubhtml?gid=0&single=true
          KFF state stats https://www.kff.org/health-costs/issue-brief/state-data-and-policy-actions-to-address-coronavirus/
          Tableau state stats https://public.tableau.com/views/KFF-CoronavirusTracker-JHUUpdateRF/Map-Dashboard?:display_count=y&:origin=viz_share_link&:showVizHome=no        
          Worldometer country stats/pop https://www.worldometers.info/coronavirus/country/us/
          CIA World Factbook 2017 population          
          NY Times state covid timeline https://www.nytimes.com/interactive/2020/03/21/us/coronavirus-us-cases-spread.html        
          Jefferson County KY county stats https://kygeonet.maps.arcgis.com/apps/opsdashboard/index.html#/543ac64bc40445918cf8bc34dc40e334        
        Info              
          This is a study that began 3/25/2020 through current.  Why 3/25? This is when I started to notice things were getting much worse, case-wise---especially in the U.S.  As a result, I began my study on that day.
          Unfortunately, there are certain daily snapshots that cannot be traced BACK prior to 3/25.