This project and the data explores the relationship between Social Media, Salary, Influence, Performance and Team Valuation in the NBA. This is covered in Chapter 6 of Pragmatic AI
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What is the relationship between social influence and the NBA
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Slides on What is the relationship between social influence and the NBA
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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/
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Exploring the individual NBA players: https://www.ibm.com/developerworks/analytics/library/ba-social-influence-python-pandas-machine-learning-r-2/
You can also see Kaggle Notebooks here:
This notebook has the following data legend:
- TEAM: Name of the NBA Team
- GMS: Games Played
- PCT_ATTENDANCE: Average % Attendance of capacity (note some teams were over capacity as an averag)
- WINNING_SEASON: If the team won over 50% of their games, it was 1, otherwise 0.
- TOTAL_ATTENDANCE_MILLIONS: Total season attendance in the millions.
- VALUE_MILLIONS: Valuation of the team in millions
- ELO: https://en.wikipedia.org/wiki/Elo_rating_system
- CONF: Eastern or Western Conference
- COUNTY: The county where the team is located
- MEDIAN_HOME_PRICE_COUNTY_MILLIONS: Median Home Price
- COUNTY_POPULATION_MILLIONS: The Population of the county in Millions
- cluster: A cluster created by KMeans clustering (shown in notebook)
- PLAYER: NBA Player Name
- TEAM: NBA Team
- SALARY_MILLIONS: Salary paid to player in Millions
- ENDORSEMENT_MILLIONS: Endorsements paid to player in Millions
- PCT_ATTENDANCE_STADIUM: Average % attendance in stadium
- ATTENDANCE_TOTAL_BY_10K
- FRANCHISE_VALUE_100_MILLION
- ELO_100X: https://en.wikipedia.org/wiki/Elo_rating_system/100
- CONF: Eastern or Western Conference (Even split between all teams between both conferences)
- POSITION: Position of the player
- AGE
- MP: Minutes/Games Average
- GP: Games played
- MPG: Minutes/Games Average
- WINS_RPM: Wins attributed to individual player performance. One of the best metrics of overall impact on team.
- PLAYER_TEAM_WINS: Wins for the team the playes is on.
- WIKIPEDIA_PAGEVIEWS_10K: Pageviews of player divided by 10 thousand TWITTER_FAVORITE_COUNT_1K: Twitter favorites of player profile divided by 1 thousand.
Social Power in the NBA (Comparing on the court performance with Social Influence)
Juypter Noteboooks Social Power
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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
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