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Name: Lee Prout
Type: User
Bio: Data analyst with a passion for creating compelling narratives supported by research.
Location: Brooklyn, NY
Name: Lee Prout
Type: User
Bio: Data analyst with a passion for creating compelling narratives supported by research.
Location: Brooklyn, NY
California Wildfire Incidents 2013-2019
Team project performing ETL on 2020 U.S. Election data, using jupyter notebook, PostgreSQL, and quickDBD.
Using JavaScript, HTML/CSS to render a table dynamically for a dataset of UFO sightings. Users can filter the table on multiple parameters.
Analysis of Kickstarter data and visualizations, using Excel.
Visualizing United States Geological Survey (USGS) data with Leaflet and Mapbox, in JavaScript, HTML/CSS.
Applying machine learning models to NASA data from the Kepler mission to determine classification of exoplanets.
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.
Analyzing drug trial data with scipy and numpy, and visualizing findings with matplotlib.
Analysis of MTA ridership data from March 1, 2020 to March 1, 2021 for subway, bus, and vehicular traffic, using Python.
Experiment for Flask application
Analysis of purchasing and demographic data on customers, using pandas in jupyter notebook.
Interactive dashboard for exploring a dataset that catalogs the microbes found in human navels, using JavaScript, D3, Plotly, and HTML.
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.
Financial analysis and election analysis, using Python.
Data modeling, engineering, and analysis of employee data. Created an ERD and table schema, then loaded and analyzed data using PostgreSQL.
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.
Personal repo for data cleaning and experimenting to prep for contributing to team project on maternal mortality: https://github.com/abpuccini/project2-maternal-mortality
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.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.