Abalone Age Prediction Project
In my fourth group project in my Data Analytics boot camp, my group chose a dataset containing various macroscopic physical measurements of abalone and ran it through various machine learning models, to see if they could be used to consistently and accurately determine the age of a particular specimen, which would be much easier and more convenient than the method that is currently used to determine the age of a specimen.
Tableau Citibike Dashboard
In unit 18's challenge I was tasked with using data from citibike and tableau public to create a dashboard to showcase interesting phenomena that I found in the dataset.
Leaflet Earthquake Visualization
In unit 15's challenge of my data analytics boot camp, I was tasked with creating an earthquake data visualization dashboard using leaflet and a dataset from the 'USGS GeoJSON Feed'.
US Police Shooting Visualization Dashboard
In project number three, my group was tasked with picking a dataset to then perform the ETL process on, create visualizations, and then make a dashboard for using a flask app.
Belly Button Biodiversity Dashboard
For challenge #14 in my data analytics bootcamp, I was tasked with creating an interactive dashboard to explore a dataset containing data on the various microbes found in peoples belly buttons.
Mars Web Scraping App Challenge
For challenge #12 in my data analytics bootcamp, I was tasked with scraping various data about the the planet Mars and then using PyMongo and Flask to load the data into a database and visualize it on a Flask app that can also update the data by scraping the sites again.
Data Analytics Project 2: ETL
For project 2 in my data analytics bootcamp, my group was tasked with extracting, transforming, and loading datasets into a PostgreSQL database.
Web Design Challenge
For challenge #11 in my data analytics bootcamp, I was tasked with creating a data dashboard website for showcasing data that was generated in a previous challenge.
Data Analytics Project #1: Poverty's Effect on Mental Health
In project 1 of my data analytics boot camp, we were tasked with creating a hypothesis and research proposal, and then finding our own datasets to be used in our hypothesis testing. My group chose to look at different economic factors and compare them with suicide rates to see if there is any correlation between various economic factors and people's mental health.