Distribution of Data for Classifying patients based on Biomedical Data

This project findS the best distribution fits of the data taken from a Kaggle dataset  based on distribution in the SCIPY library.  Every distribution is run and the difference between the distributions in scipy vs the distribution of the actual data.  From this we can see that that the sacral slope distribution fits a powernorm distribution best and a more Frequentist method to analyzing the data is best.

LIBRARIES USED: cYCLER, NUMPY, PANDAS, SCIPY.STATS, MATPLOTLIB, MATPLOTLIB,PYPLOT

Distribution Probability and Market Participation(Temporal View)

pRODUCT AND MARKET OVER TIME

The data looks at the difference between the companies proposed market Q1 and Q2 by State and analyzes the changes that the Desk has made on investments.  A new model has been implemented and therefore has made several adjustments overall to the investment strategy by product.  Originally, there are 4 visualizations to this model, but  I have included two samples.