Final Graduate Statistics project,spring 2016
This is the final project that was completed in my last quarter at Cal Poly Pomona. The question that was asked was, “given that data would it be possible to predict which wine would be most likely to win an award. This project took many steps to include importing data and data cleaning, exploring analysis, and lastly, building a GLM model. One part of this project that stands out is being able to find one additional variable by seeing that two other variables made a made a linear relationship. To read to the full project, please click on the link below.
Data visualization for Dietetic Technicians in Practice publication,Spring 2018
I was requested to create 4 data visualization for Dietetic Technicians in Practice (DTP). The first was to show the total number of DTR who are registered from 1991 to 2015. This was needed to show the number of registered DTR has increased from 2009 on due to the creation of an alternative pathway for DTR eligibility. The next two data visualization was to show the distribution of District in practice group (DPG) across the continental US, and the second being the distribution of DTRs and NDTRs across the continental US. Lastly was a bar chart to show what areas of practice the members of the DPG group fell into. See the two publications in the link below.
Analysis of Current NDTR JoB Opportunities on indeed,Fall 2019
Completed an analysis of NDTR job opportunities on Indeed.com and identifying with states have the biggest demand of NDTR job. The are then comparing the information gathered with data found on the US Bureau of Labor Statistics (BLS) and EatRightPro website to see if the current demand is still reflecting the data from BLS and EatRightPro. Lastly, making recommendations of how to grow membership for the DPG of NDTR. This was published for the Fall Newsletter.