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Name: Melissa Monroe
Type: User
Bio: Data Engineer | Creative problem solver interested in insights and storytelling based on data.
Location: San Diego, CA
Name: Melissa Monroe
Type: User
Bio: Data Engineer | Creative problem solver interested in insights and storytelling based on data.
Location: San Diego, CA
Provides color names and HTML/RGB mappings in various output formats.
JavaScript and D3 were used to analyze and visualize 2014 U.S. Census Bureau and the Behavioral Risk Factor Surveillance System. The data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for "margin of error."
Using historical and current API data pulled from https://data.sandiego.gov/datasets/get-it-done-311/ this dashboard dynamically displays service request count by year and council district, service request type, and interactive mapbox cluster map of service request locations. Target audience city of San Diego leadership.
20 years of NHL data was used to determine player position based on machine learning models. Machine learning models were built using the average summary of statistics across multiple features (goals, assists, shots, etc.). The machine learning models predict the actual primary position of the player with an average accuracy of 85%.
A modern alternative to CSS resets
Data found in the Citi Bike Trip History Logs was aggregated to find unexpected phenomena. (Jersey City Data in 2016 and 2017)
Tip calculator for calculating the check based on check amount, number of people and tip percentage
What's the weather like as we approach the equator? In this project, python and API calls were used to compile weather data in order to create visualizations that demonstrate the increase temperatures near the equator.
UCSD Bootcamp ETL Group Project - In this group project we used python and beautiful soup to web scrape craigslist.org rental listings in San Diego. The goal of the project is to show number of listings, average rental listing price by zip code and category, highest and lowest rental listings and discover new insights. Web scrape data is stored in cloud MongoDB Atlas database.
In this group project, we've utilized Python requests, APIs, and JSON traversals to answer a question: "Who plays chess on chess.com?"
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.