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amazon_vine_analysis

Project to analyze reviews written as part of the Amazon Vine program. PySpark and Python are used to create dataframes and clean the raw data. Cleaned data is loaded into an AWS RDL for analysis. The relationships between paid and free reviews were then investigated.

bikesharing

Repo showing a Tableau story I created using Citi Bike data. Visualizations were created in Tableau showing rental duration, popular days/times to travel, and user breakdowns by gender/age.

buspi

Project using Python, Raspberry Pi 3 A+, and an LED matrix to display next bus times for a specified MTA bus stop

covid-19-vaccine-hesitancy

A machine learning project exploring which factors are more likely to contribute to an individual’s hesitancy of getting (or not getting) the Covid-19 vaccine

credit_risk_analysis

Testing various supervised machine learning models to predict a loan applicant's credit risk.

election_analysis

A Python script built to analyze specific election's results, and be re-purposed to analyze the results of other elections. The script provides you with different breakdowns of the vote based on candidate and county,

kickstarter-challenge

Basic analysis of a dataset using Microsoft Excel. Created while participating in a Data Analytics Bootcamp.

kickstarter-data

Basic analysis of a dataset using Microsoft Excel. Created while participating in a Data Analytics Bootcamp.

mapping_earthquakes

Project using Javascript and Leaflet to create an interactive visualization of earthquakes across the world over the past 7 days.

mission-to-mars

A webscraper written in Python that pulls news updates, images, and facts about NASA's Mars Exploration Program. A basic webpage written in JavaScript displays the scraped items. Flask is used to demo the website.

movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

pewlett-hackard-analysis

An analysis of a mock employee database at a large company performed using postgreSQL. Tables are created breaking down employees by title, hire date, and identify employees who meet certain criteria for retirement or mentoring.

plotly_deployment

This project uses JavaScript, Plotly, and HTML to create an interactive dashboard on a webpage. The data is from a fictional study examining bacteria cultures in the subject's navels. The dashboard allows you to filter between participants and shows different information about their samples.

pyber_analysis

Analysis of ride share data using Matplotlib and pandas, executed in Jupyter Notebook. Breakdowns are provided based on the city size, average fare, and number of rides taken.

school_district_analysis

Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.

stock-analysis

A VBA script that performs basic stock analysis. Created while participating in a Data Analytics Bootcamp.

surfs_up

Project to perform analysis of weather data in Hawaii, including a Flask app to view the findings.

ufos

A JavaScript/HTML project that creates a webpage with a table filter element, allowing you to view UFO sightings based on date, city, state, country, or UFO shape.

world_weather_analysis