melissamonroe Goto Github PK

app_pet_pals

big-data

bootcamp

color-names

Provides color names and HTML/RGB mappings in various output formats.

d3-data-journalism

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."

excel-challenge

frog

get-it-done-sd

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.

ivweb

javascript-challenge

leaflet-challenge

machine-learning

matplotlib-challenge

melissamonroe.github.io

nhl-machine-learning

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%.

normalize.css

A modern alternative to CSS resets

pandas-challenge

plotly-challenge

python-challenge

sql-challenge

sqlalchemy-challenge

tableau-citibike

Data found in the Citi Bike Trip History Logs was aggregated to find unexpected phenomena. (Jersey City Data in 2016 and 2017)

tip-calculator

Tip calculator for calculating the check based on check amount, number of people and tip percentage

vba-challenge

weather-python-api

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.

web-design-challenge

web-scrape-craigslist-etl

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.

web-scraping-challenge

who-plays-chess

In this group project, we've utilized Python requests, APIs, and JSON traversals to answer a question: "Who plays chess on chess.com?"