Create R Code that integrates data from targeted websites with my company's databases
Budget: $25 – $50 USD
My company builds ML algorithms that predict the outcome of future events. Our databases are constantly growing as we add sources. Public and private websites can contribute valuable information, and I would like to find a developer who:
1) Has a knack for scraping different types of data from websites.
2) Is proficient enough in R to write scripts that can be integrated into our company databases.
3) Enjoys creating flexible and reusable code intended to be used repeatedly while not breaking completely when a website makes minor changes.
In this project, you will be given the credentials to an Advanced Membership Account at www.pff.com. Here you will have access to advanced metrics for NCAA Football and NFL. While www.pff.com provides aggregation at the "team level" for many metrics in CSV format, we want all the data at the "player-game level." Instead of metrics for each of the 130 teams per year, we want dozens of metrics for the ~12 games for the ~80 players for each of those 130 teams. The data is accessible in their portal, but it will take some time to architect code that will be able to get it all.
If this project is completed at a high level, there will be plenty of data from other websites that we will have you tackle.
1) Has a knack for scraping different types of data from websites.
2) Is proficient enough in R to write scripts that can be integrated into our company databases.
3) Enjoys creating flexible and reusable code intended to be used repeatedly while not breaking completely when a website makes minor changes.
In this project, you will be given the credentials to an Advanced Membership Account at www.pff.com. Here you will have access to advanced metrics for NCAA Football and NFL. While www.pff.com provides aggregation at the "team level" for many metrics in CSV format, we want all the data at the "player-game level." Instead of metrics for each of the 130 teams per year, we want dozens of metrics for the ~12 games for the ~80 players for each of those 130 teams. The data is accessible in their portal, but it will take some time to architect code that will be able to get it all.
If this project is completed at a high level, there will be plenty of data from other websites that we will have you tackle.