Group Members: Prakat Tuladhar, Seong Kang
Date: Fall of 2022
Goal: Use the big data computing tools we cover in this class to analyze and extract useful information from a dataset of your choice. When evaluating your project, I will consider:

• The usefulness of the dataset.
• The selected data analysis tasks.
• Presentation, summarization, and visualization of your results.
• Report writing.

Analysis done over 3 stock tickers, robinhood holding volume and COVID data for interesting trends.

1. Combine the datasets for different files into a single file for Stock price database and Robinhood popularity stock.
2. Get the average of prices of those 3 stocks for trend and comparison.
3. Compare the weekly transaction volume of the 3 stocks and see how that fluctuate based on the Covid19 case weekly total.
4. Get user change for a given day for Robinhood user stock holding data.
5. Comparing relation between Stock Prices and Robihoob user’s holdings over a month’s period. Get how many days over the year the stocks dipped and the number of holders in robinhood increased.

• Hadoop
• Map Reduce
• Oozie
• Pyspark

• Stocks
• Robinhood
• COVID