Celeste Muñiz - Lithgow's repositories
citi-bike-tableau
Utilizing Tableau Public, I've created an interactive visual story of my observations of the latest Citibike trip history data (December 2020) for Jersey City and New York City.
leaflet-js
Used Leaflet.js, D3, HTML and CSS to visualize current earthquake data from USGS. Plots locations of tectonic plates and earthquake data from the last 7 days.
machine-learning
Used Scikit-Learn, GridSearchCV, and Pandas to create machine learning models capable of classifying candidate exoplanets from a raw dataset.
Web-Design-Challenge
Utilized HTML, CSS, Java, Python, and Matplotlib to create a visualization dashboard website using data from OpenWeatherMap API.
celeste1030.github.io
*Under Construction* My professional dashboard connecting all I do.
D3_data_journalism
Applied D3, HTML, CSS, and Java to create an inteactive chart that compares US census data.
javascript-challenge
Applied Java, HTML, CSS, D3.js, and Java to created table of data from UFO sightings that allows users to filter for specific values.
Matplotlib_challenge
Used Matplotlib, Python, and Jupyter Notebook to analyze and visualize pharmaceutical data.
music-trends-2020
Observing trends in the top pop songs of 2020 by using D3, HTML, CSS, and Bootstrap to analyze Spotify data.
pandas_challenge
Utilized Pandas to analyze the data fantasy game Heroes of Pymoli.
plotly-challenge
Used HTML, CSS, Java, Bootstrap and Plotly to create an interactive dashboard analyzing bellybutton biodiversity.
python-api-challenge
Used Citipy and OpenWeatherMap API to create a representative model of weather across world cities. Applied jupyter-gmaps and the Google Places API to anaylze and plot ideal vacation locations. 🌴
python-challenge
Used Python to analyze sample financial and election records.
sql-challenge
Used Sql, Pandas, and Jupyter Notebook to model, engineer and analyze employee data. Database created with PgAdmin4.
sqlalchemy-challenge
Designed a Flask API based on queries developed with Sqlalchemy. Use queries, Python and Matplotlib to analyze weather station and precipitation data.
VBA-Challenge-2020
Created a script that will loop through stock data and output yearly changes.