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Azure Databricks Project with Python, PySpark, dataframes, Databricks SQL, Pandas, numpy, PySpark.SQL, and matplotlib

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Finance CSVs		Finance CSVs
.gitignore		.gitignore
Initial Ingestion Work.ipynb		Initial Ingestion Work.ipynb
README.md		README.md
SQL and Python Exploration.ipynb		SQL and Python Exploration.ipynb

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Azure_Databricks_Finance_Project

Use 2 Highest Market Cap stocks in 4 of these sectors (Consumer Cyclical, Financial Services, Healthcare, and Technology) (8 tables total)

Date Range 1-01-2000 - 1-01-2024

Sector reference: https://finance.yahoo.com/sectors/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAJhPnyBqA3YaoozCNN9qmiVCHl3QosPQAXR5wYOmtQ37cAVQQhCqbaOzwCMsVZxqpdJtY5GGNT1Y-udXrEsvAtLsMfaq7PZ2pFD8rCi4yzjT56HEZplSpkaAHk6iXRdl7MdCIijFLtCKeOUPkBxPakhuVn_9YlO89WjkqBcJNztl

Data reference: https://www.macrotrends.net/stocks/research

Pandas data reader API https://pandas-datareader.readthedocs.io/en/latest/remote_data.html

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Azure Databricks Project with Python, PySpark, dataframes, Databricks SQL, Pandas, numpy, PySpark.SQL, and matplotlib

python azure pyspark databricks databricks-notebooks databricks-sql

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