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Project1

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Project DESCRIPTION

It all started when a group of 5 hotshots were hired by Mr. Drake Romaro, a billionaire who made his fortune from betting on sports. While his initial bets were lucky hoops, which made him a fortune, now he thinks he needs to develop a calculated wining strategy. Mr. Romaro has started his own analytics company to analyze the 2019 – 2020 basketball season data predicted the winning team. He has recently asked fresh graduates from UT Austin Data Camp to help him win big this season.

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WILL THIS NEW TEAM BE ABLE TO MAKE THE ACCURATE PREDICTION? LETS FIND OUT!

Research QUESTIONS TO ANSWER

  • Q.1. �Which are the top 8 teams for each conference in the current season, till the last data point? What are the scores of the top 8 teams? And their win to loss ratio. For each conference.
  • Q.2. �Does the home team win more or the visitors team win more matches?
  • Q.3. �What are the locations of the game? Heat map indicators of teams with more wins.
  • Q.4. �Calculating correlation between team player stats, team field goal % and other variables against games won by the team.
  • Q.5. �Defining winning parameters to determine a score for “Win Factor” of each team.

Breakdown OF TASKS

  • Importing and merging relevant data files.
  • Create data frame of top 8 teams and their respective win/loss scores and ratio.
  • Make a bar graph with wins in green and losses in red.
  • Calculate the number of win counts by home team and visitors team, and represent them in a pie chart.
  • Use Google API to match venue location and extract their latitude and longitude. Map game location on Google Maps.
  • Heat map indicators of teams with more wins percentage.
  • Extract player points and average their data in new data frame. Sum all the team’s player data and match them to their respective team.
  • Calculating correlation between team player stats and game won by the team.
  • Make scatter plots of Team Win vs. Player Stats and other variables and run regression for each conference to find relationship between variables.
  • Make observation as per analysis results and define winning parameters for win prediction.

Data sources:

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All Rights Reserved

Prensentation made by Umar Farooq, approved by Project Team.

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