Public sample Data files
NFL Player Data: Remember Ike Peterson from '35? Neither do we!
The data was scraped using a Python code. The code can be located at Github: https://github.com/kendallgillies/NFL-Statistics-Scrape, the data then became available here. With this dataset, we can look at the characteristics of existing (and past) NFL players to have a better understanding of the sport. With this information, we can also predict the positioning or quality of new players. Lastly, this information could be used for fantasy football, by having a better understanding of how players rank in comparison to other players in the same position.
Unlock the full potential of your large-scale data with Gigasheet's self-service analytics, offering a real-time, spreadsheet-like interface for enterprise databases, warehouses, and lakes. Empower teams to securely analyze, manage, and visualize massive datasets—no SQL expertise, steep learning curves, or extra infrastructure required. Facilitate governed access, streamline collaboration, and maintain compliance effortlessly across your organization.
Discover why over 150,000 users trust Gigasheet for data analytics. Learn more about our Enterprise Solutions or sign up to try it today with the data above.
More Sample Data Files
Engagement Insights: Analyzing the Top 1000 Posts from the Writing Prompts Subreddit
War on the Water: A Comprehensive Review of WWII U-boats and Their Naval Engagements
The Dynamics of Home Valuation: Understanding Square Footage and Neighborhood Quality
100,000+ people use Gigasheet.
