Exploratory Data Analysis on NBA

• Data Source % Tools: Data was extracted from an API converted from JSON to CSV using Python, and analyzed on Jupyter Notebook.
• Focus: NBA 21/22 season standings and team stats, focusing on how to finish the season with a higher positin on a Conference.
• Key Insights:
  • Field Goals Made (fgm) and Defensive Rebounds (defReb) are significant indicators of a team’s success at home and away games.
  • Defensive stats are less correlated but still relevant, suggesting the need for more detailed defensive data.
  • Three-Point Percentage (tpp) and Field Goal Percentage (fgp) are highly correlated with winning, emphasizing shot efficiency.
  • Home Wins: High defensive rebounds correlate with more home victories, especially for teams like the Celtics and the Bucks.
  • Away Wins: Efficiency in scoring, particularly through three-point shots, correlates with away wins, as seen with teams like the Sixers and the Heat.
  • Team Comparisons: The Miami Heat and the Phoenix Suns, top of their conferences, show different playstyle. The Suns excel in scoring, while the Heat’s ball movement and capitalization on turnovers stand out.
  • This summary encapsulates the multifaceted aspects of basketball performance, highlighting the importance of both offensive efficiency and defensive plays in securing wins.

Read more on my Medium article or view the repository instead!