Using PUMS informed model of rental occupancy to predict tract-level rental occupancy

Data retrieved from DOHMH: https://a816-health.nyc.gov/hdi/epiquery/visualizations?PageType=ts&PopulationSource=Syndromic&Topic=1&Subtopic=39

Using a K-Nearest Neighbor model to predict voting outcomes based on 0-100 self-reported ratings of favorability of various groups (immigrants, feminists, black lives matter, police,christians, etc...)

A sample of some text analysis which requires downloading tweets from twitter using the twitteR api, using word-sentiment association lexicons for sentiment analysis, identifying frequently occurring words and word combinations through visualization of word correlations, etc...

A brief analysis of the National Survey of Drug Use & Health, exploring relationships between type of drug use, and selective absenteeism at work.

This sample requires the merging of missing persons listings (individual-level observations), with state-level demographic data(state-level observations) and mapping coordinates(multiple latitude/longitude coordinates per state). This sample also requires the re-shaping of data from long-format to wide-format for the sake of merge compatibility between datasets.