Introduction

This project and the data explores the relationship between Social Media, Salary, Influence, Performance and Team Valuation in the NBA.

IBM Developerworks Articles on Project

• Explore valuation and attendance using data science and machine learning: https://www.ibm.com/developerworks/library/ba-social-influence-python-pandas-machine-learning-r-1/

• Exploring the individual NBA players: https://www.ibm.com/developerworks/analytics/library/ba-social-influence-python-pandas-machine-learning-r-2/

Kaggle Version of Project

You can also see Kaggle Notebooks here:

• Kaggle Kernel NBA Player Influence, Salary and Performance

• Kaggle Kernel Team Valuation Performance

Social Power, Influence and Performance in the NBA

Social Power in the NBA (Comparing on the court performance with Social Influence)

Data Exploration

Player Impact Estimation

Social Power, Performance and Salary

Valuation vs Attendance

ELO vs Attendance

ELO Correlation Heatmap

REAL PLUS MINUS Wins, POINTS and SALARY

ALL Data Correlation Heatmap

Explore Juypter Notebooks

Juypter Noteboooks Social Power

Social Money

Social Power and Performance

Explore Raw Data Here

• NBA 2016-2017 REAL PLUS MINUS Wins, POINTS, SALARY, Wikipedia, Twitter
  • This data was collected from multiple sources: ESPN, Basketball-Reference, Twitter, Wikipedia, and Forbes