Margaret Thorpe's Projects
Interactive dashboard for exploring microbial diversity. Built using Plotly, Javascript, D3.js and HTML, the dashboard visualizes a dataset that catalogs the microbes colonizing human navels from the Belly Button Biodiversity project.
A dashboard to analyze & visualize historical California wildfire incident data and identify trends, using our Wildfire 1.0 API. Created using csv2json, PostgreSQL, NodeJS, Plotly, Leaflet, Bootstrap, Javascript, HTML and CSS.
Extracts, transforms and loads COVID-19 vaccination data from multiple sources into a consolidated PostgreSQL database using Python, Pandas, Psycopg, Jupyter Notebook and SQL Alchemy.
Analyzes & visualizes current COVID-19 vaccination and infection rates across the US to better understand state level trends.
A robot powered training repository :robot:
This project uses Javascript, HTML and CSS to dynamically generate a searchable table of UFO sightings.
Table of Contents extension for JupyterLab
Analysis & visualization of Kickstarter campaign data: what are the characteristics of a successful campaign?
This study compares the performance of Pymaceuticals' drug of interest, Capomulin, versus several other treatment regimens.
Analyzes School District data and reports on key trends in school performance.
Worldwide weather analysis & vacation destination selection. Creates & visualizes a world weather model using Python, Pandas, Matplotlib and the Open Weather Map API. Locates ideal vacation destinations using Google Places API and Jupyter-gmaps.
Contains both the PyBank and PyPoll projects.
Data engineering & analysis of historical employee data.
Climate analysis and data exploration of a climate database. Analysis is done using Python Pandas, Matplotlib and SQLAlchemy. API for querying climate data is built using Flask.
This VBA script loops through several years of stock data summarizing each stock's activity for the year & identifying stocks with extreme performance profiles.
Website showcasing the findings of the "Anxiety and Depression in the time of COVID-19" project, where we explored the relationship between COVID-19 and mental health in the US.
Scrapes various websites for data related to the mission to Mars using Splinter and Beautiful Soup, stores it in a MongoDB database, and displays it on a consolidated web page.
This project creates a convolutional neural network (CNN) to monitor PTZ fire camera images in real-time and detect early signs of wildfire. Created using Keras-Tensorflow, Flask, OpenCV, Pillow, Python, JavaScript, Bootstrap, HTML and CSS.