The deployment branch contains code for the corresponding Heroku website (https://brick-house-identifier.herokuapp.com/). The code for the model development can be found at https://github.com/gitgr…

Uses VBA to analyze stock market data from 2014 to 2016. For each year, identifies the percentage change from opening price to closing price for each stock, as well as its total volume. Identifies …

Used JavaScript Leaflet library to visualize earthquake data.

This is an interactive website that displays information from UFO sightings that occurred in North America between the years 1906 and 2014. Data were supplied to visualizations via Python Flask API…

Created PostgreSQL database and performed SQL queries on employee information. Performed additional analysis with Pandas via SQLAlchemy.

This research suggests that implementation of a phased retirement program may be used as a tool to retain dedicated workers.

Used Jupyter Notebook, Pandas, and Matplotlib to visualize regression analysis on data extracted from Open Weather API. Used Google Maps API to visualize differences in humidity between cities, and…

Investigated the influence of economic, birth, and health factors on Chicago neighborhood homicide rates using correlation, simple regression, and multiple regression analyses. Created a heatmap to…

Analyzing budget and election data for a class assignment.

Investigated the effects of four cancer treatments on tumor size in mice using correlation and regression. Used Pandas to merge and clean data; used Matplotlib to visualize data.

Using Pandas to compute descriptive statistics on student and school data.