Update #2 - Change of Plans & New Maps!

After seeing that there is not a visually significant relationship between ozone exceedance and population density, I began to think about the data that I was using and if it would  be more interesting to look at other variables.  When looking at the asthma data that I used in my previous course project, I realized that it was not looking at the number of cases of asthma within each county, but rather the number of people who were being hospitalized because of their asthma.  Therefore, the people who were being hospitalized may not even be from that particular county.  This made me think about what factors would influence people requiring hospitalization (other than the obvious severity of their asthma symptoms).  Thus, I decided that I would still look at ozone exceedance and population density, but I would also incorporate income and the number of hospitals within each county.  People who have lower incomes may be less likely to admit themselves to the hospital for their symptoms because they may not have health insurance or be able to afford the hospital bills.  Furthermore, in rural areas some hospitals may be too far away for people to be able to travel to.  The amount of hospitals in each county could also be related to population density, as more people would require more healthcare.  After importing data on medical facilities across the state of California, I narrowed down the facilities to general medical and surgical facilities to match the asthma hospitalization data I had also gathered online from the state of California.  I then used graduated colors to show the population density, and simple dots for the hospitals to show that areas of higher population densities are more likely to have a higher number of hospitals.  I also created a map showing the number of asthma hospitalization in relation to income to visually display how people in lower income areas may have less hospitalizations due to asthma.  I labeled major 4 major counties within California to serve as a location reference.