The purpose of this challenge was to analyze ETF data from a SQL database. Use SQL queries to pull data from the database
This project leverages python 3.7 specifically and assumes that jupyter lab has been installed. In additon, you would need to have the following modules installed:
- pandas
- hvplot
- sqlalchemy
- Data provided by Columbia FinTech program.
Historical data and challenge questions provided by Columbia FinTech progam. Analysis, code, and conclusions completed by Sean Senhouse
- First initialze the dev environment and the Jupyter lab by typing the following at the command prompt:
conda activate dev
jupyter lab
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Open the Jupter Notebook titled: etf_analyzer.ipynb
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Run all of the code