Jason Cristini's repositories
Analyzing-Polling-and-Financial-Data
Using Python to analyze the financial records of a company as well as using Python to analyze the votes for small town.
Anti-Cancer-Drug-Analysis
Analysis of an anti-cancer drug's regimen vs other drug regimens in a mouse study.
Belly-Button-Biodiversity-Dashboard
Javascript and D3 are used to create an interactive dashboard to explore a microbes on human subjects dataset.
Citi-Bike-Analysis
Using summer 2020 Citi Bike Share data to aid city officials on where they will place their next stations.
Earthquake-Visuals
Using JS and mapbox to display this week's earthquakes from the USGS's geojson data. The web page displays color coded and responsive locations of each earthquake.
Employee-Data-Analysis
Data engineered a company's employee information into a PostgreSQL database. Then did SQL queries to investigate the data.
Hawaii-Weather-Analysis
Using SQLAlchemy and Flask API to analyze Hawaii temperature and precipitation observations.
Predicting-World-Happiness
In this project a group of 6 people used Python and Tableau to determine which countries would be the happiest in 5 years. We compiled all the finding into a website.
World-Weather-and-Vacations-Locations
Using an OpenWeatherMap API and Python to pull over 500 cities into a data set to then run visualizations on. Then took some vacation requirements to determine what is the best city to vacation at.
Mobile-Game-User-Analysis
Report that breaks down the game's purchasing data into meaningful insights.
Poverty-vs-Healthcare-Website
Dabbling in D3 to create a scatter plot from 2 variables in a data set about trends in people's lives.
South-Korea-Coronavirus-Dashboard
This dashboard creates an overview of the effects coronavirus has had on South Korea.
UFO-Sightings-Website
Javascript website to display UFO sightings information. Multiple filtering capabilities as well.
Weather-Analysis-Website
This website utilizes bootstrap classes to display the finding from a previous analysis about weather patterns across cities in an intuitive and elegant fashion.