Lee Prout's repositories
mta-ridership
Analysis of MTA ridership data from March 1, 2020 to March 1, 2021 for subway, bus, and vehicular traffic, using Python.
california-wildfire-analysis
California Wildfire Incidents 2013-2019
ETL-project
Team project performing ETL on 2020 U.S. Election data, using jupyter notebook, PostgreSQL, and quickDBD.
leaflet-challenge
Visualizing United States Geological Survey (USGS) data with Leaflet and Mapbox, in JavaScript, HTML/CSS.
python-api-challenge
Analyzed weather data from OpenWeather API to generate a list of locations with ideal vacation weather. Created a heatmap to visualize humidity and Google Places API to map hotels in desirable locations.
sqlalchemy-challenge
Analysis of temperature and precipitation data from Hawaii. Queried data with sqlalchemy and created plots with matplotlib. Created a Flask API with several routes to reflect queries.
web-scraping-challenge
Created an app with Flask to display data retrieved by web scraping with Pandas, Beautiful Soup, and Splinter using Jupyter Notebook and stored in mongoDB. End user can easily retrieve the latest information with a simple click.
javascript-challenge
Using JavaScript, HTML/CSS to render a table dynamically for a dataset of UFO sightings. Users can filter the table on multiple parameters.
kickstarter_analysis
Analysis of Kickstarter data and visualizations, using Excel.
machine-learning-challenge
Applying machine learning models to NASA data from the Kepler mission to determine classification of exoplanets.
maternal-mortality-project
Explore the maternal mortality dataset and create the dashboard to interpret the dataset by visualization. Applied Machine Learning to predict future events based on various factors.
matplotlib-challenge
Analyzing drug trial data with scipy and numpy, and visualizing findings with matplotlib.
notepad-2020
Experiment for Flask application
pandas-challenge
Analysis of purchasing and demographic data on customers, using pandas in jupyter notebook.
Plotly-belly-button
Interactive dashboard for exploring a dataset that catalogs the microbes found in human navels, using JavaScript, D3, Plotly, and HTML.
python_challenge
Financial analysis and election analysis, using Python.
sql-challenge
Data modeling, engineering, and analysis of employee data. Created an ERD and table schema, then loaded and analyzed data using PostgreSQL.
US-Maternal-Mortality
Personal repo for data cleaning and experimenting to prep for contributing to team project on maternal mortality: https://github.com/abpuccini/project2-maternal-mortality
Web-Design-Challenge
Dashboard deployed to GitHub Pages displaying plots of weather data corresponding to Latitude. Used HTML/CSS to create a site for the user to easily navigate through several pages of visualizations and a data table.