Business Understanding- After find a data set about obesity, correlating diseases, and habits amongst Americans collected by the CDC, my team and I decided to to visually show what the raw data contains numbers showing an association between chronic diseases, high BMI's, and obesity rates. 
Data Understanding- We looked at our raw data, and while there was a lot of good information provided we decided to bring in other data sets also from the CDC from the same time and areas. The other data sets also included information about obesity but also food and exercise habits, more diseases, and demographics.  All our data sets, contained null values and seemingly no outliers. 
Data Preparation- I took our data sets through Tableau Prep builder, I deployed the data interpreter. I got rid of null values. From there I took our prep flow sent it to my other team mates and sent the flow into Tableau Desktop.
Modeling- Our team and made visuals in Tableau that demonstrated the numbers between BMI and diseases, and diseases and healthy habits. My effort being mostly making the habits and BMI visuals.
Evaluation: The group and I double checked our visuals. Made sure everything made sense, and that they answered the question we set out to answer in our business understanding step. Had it not we would have returned to data understanding to see what we could do to make our data make sense.
Deployment- From there we put our visuals in power point show case and recorded a video discussing our finding with in our data.