RuthLD's Projects
An analysis of Amazon product reviews from the Amazon Vine program.
Use data from the Citi Bike program in New York City to create visualizations in Tableau for an investor presentation.
An overview of Columbia Data Analysis Bootcamp projects and the toolsets used.
Evaluate several machine learning models to asses credit card risk.
Use unsupervised machine learning to determine patterns in cryptocurrencies.
Learning to use Python by analyzing election data.
Uncovering trends in Kickstarter data through excel analysis
Using APIs to create interactive maps displaying location and magnitude of earthquakes using GeoJSON data
Statistical analysis of MechaCar vehicles and a study designed to compare the MechaCar vehicles to competitors.
Using Web Scraping to gather the most recent news articles about the planet Mars.
Using the ETL process to clean and merge data.
Use machine learning and neural networks to help a non-profit predict where to make investments.
Employee Databases with PostgreSQL
Use Plotly and JavaScript to create a webpage showing the samples from a Belly Button Biodiversity Study for each volunteer's individual ID.
Use SciPy and NumPy to analyze rideshare data from January to early May of 2019 and use Matplotlib to create a compelling visualization.
Config files for my GitHub profile.
Learning to use Python Libraries with school district data.
Using Python to determine the most common state plants for New York State. USDA, NRCS. 2021. The PLANTS Database (http://plants.usda.gov, 3 March 2021). National Plant Data Team, Greensboro, NC 27401-4901 USA.
learning how to use VBA in Excel to analyze and predict stock
Analysis climate data for a business venture.
A word cloud of the 100 most common words from my Master's thesis.
Use JavaScript to create a dynamic webpage for UFO sighting data.
Analysis of the Mortality and DataPanel from the 2021 World Happiness Report.
Analysis of weather data using APIs and statistics to create visualizations and recommendations for a travel company.