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.
- Combine the datasets for different files into a single file for Stock price database and Robinhood popularity stock.
- Get the average of prices of those 3 stocks for trend and comparison.
- Compare the weekly transaction volume of the 3 stocks and see how that fluctuate based on the Covid19 case weekly total.
- Get user change for a given day for Robinhood user stock holding data.
- 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