leeprout Goto Github PK

california-wildfire-analysis

California Wildfire Incidents 2013-2019

datapane

emp-survey

etl-project

Team project performing ETL on 2020 U.S. Election data, using jupyter notebook, PostgreSQL, and quickDBD.

flight-trends

greek-gods

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.

leaflet-challenge

Visualizing United States Geological Survey (USGS) data with Leaflet and Mapbox, in JavaScript, HTML/CSS.

leaflet-heroku

leeprout.github.io

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.

montauk-camping

mta-ridership

Analysis of MTA ridership data from March 1, 2020 to March 1, 2021 for subway, bus, and vehicular traffic, using Python.

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-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.

python-egg

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.

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.

travel-trends

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-analytics-demo

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.

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.