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Elizabeth Bolin's Projects

amazon_vine_analysis icon amazon_vine_analysis

Use PySpark to perform the ETL process to extract the dataset, transform the data, connect to an AWS RDS instance, and load the transformed data into pgAdmin. Next, use PySpark, Pandas, or SQL to determine if there is any bias toward favorable reviews from Vine members in the dataset.

crowdfunding-etl icon crowdfunding-etl

Extract, Transform and Load data using Python, Pandas, pgAdmin and jupyter notebook

mapping_earthquakes icon mapping_earthquakes

Show the differences between the magnitudes of earthquakes all over the world for the last seven days using GeoJSON earthquake data from the USGS website

pyber_analysis icon pyber_analysis

Use descriptive statistics to analyze and visualize ride-sharing data with Python, Pandas and the Matplotlib library

surfs_up icon surfs_up

Business Analysis for hypothetical surf & shake shack, analyzing weather using SQLite, SQLAlchemy, and Flask database structures and querying methods. Python code is written and executed in a Jupyter notebook and graphs are created using Python.

ufos icon ufos

Build a table using data stored in a JavaScript array, create filters to make this table fully dynamic, reacting to user input, and then place the table into an HTML file for easy viewing. Customize a webpage using Bootstrap, and equip the table with several fully functional filters that will allow users to interact with visualizations.

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