To discover why the rate of change in diabetes’ percentages was lower from 2010-2019, I am calculating the average rate of change for each individual year in this time frame. I will then plot these averages to see what years see peaks and what years see dips in the percentages.

Statistical Difference

The distributions for the rate of change for each 9-year period are close to normal. This allows for a t-test to be done to test for statistical difference between the two means. The t-test returned a p-value of 0.000237442. This means that there is a statistically significant difference between the average for 2001/2010 and 2010/2019.

The heatmaps showed some states with a fluctuating rate of change, where they have a great increase over 9 years and then a decrease over another 9 years. I plan to key in on these states and perhaps what year sees the most change.

I have found the rate of change for the diabetes percentages for each state from 2001 to 2010, and then again from 2010 to 2019. I plan to plot these ratios to show which states show the greatest increase/decrease for these time spans.

More Data

The CDC has data from 2000 to 2020 on the percentage of adults diagnosed with diabetes by state as well as by county. I will be using this additional data in my analysis. The data can be found here: https://gis.cdc.gov/grasp/diabetes/diabetesatlas-surveillance.html#

New Dataset

For the second half of the semester, I will be studying the incidence of diagnosed Type II Diabetes found here: https://www.dropbox.com/s/c1frbp04bcrzhdv/DiabetesAtlas_CountyData.xlsx?dl=0