Student Loan Default Data Analysis - Summary

This analysis explores the 2014-15 College Scorecard data and discusses strong predictors associated with student loan default rates. #studentloandebt #studentloandefaults #studentloans

This presentation provides high level information of the Shiny app which predicts the likely next words based on the Katz Backoff model.

Plotting the US emigration data using the KNOMAD open dataset.

Plots comparing S&P500 to risk free investments

The support documenation of the Shiny App featuring the US population maps at https://goo.gl/DcrSYK.

The maps featured in this report provide the US population estimates as of July 1, 2017 based on the data available at US census.gov.

The map of 30 megacities Shepherd Church is praying for.

This map shows community colleges in SoCAL

This project explores a subset of the weather event dataset available at the U.S. National Oceanic and Atmospheric Administration (NOAA). As severe weather conditions cause fatalities, injuries, and substantial economic damages, ascertaining which weather event types are responsible for these threatening populations well-being leads us to effectively allocate limited resources in coping with future weather events.