Difference between revisions of "Team Shooting Stars: Proposal"

From Visual Analytics for Business Intelligence
Jump to navigation Jump to search
Line 141: Line 141:
  
 
==<div style="background: #000000; padding: 13px; font-weight: bold; text-align:center; line-height: 0.3em; text-indent: 20px;font-size:26px; font-family:Britannic Bold"><font color= #ffffff> PRIOR WORK & REFERENCES </font></div>==
 
==<div style="background: #000000; padding: 13px; font-weight: bold; text-align:center; line-height: 0.3em; text-indent: 20px;font-size:26px; font-family:Britannic Bold"><font color= #ffffff> PRIOR WORK & REFERENCES </font></div>==
*#* Success Factors in NBA:
+
*# Success Factors in NBA:
*# http://www.basketball-reference.com/about/factors.html
+
*#* http://www.basketball-reference.com/about/factors.html
*#* The length and success of NBA careers:
+
*# The length and success of NBA careers:
*# Coates, Dennis; Oguntimein, Babatunde. International Journal of Sport Finance 5.1  (Feb 2010): 4-26.
+
*#* Coates, Dennis; Oguntimein, Babatunde. International Journal of Sport Finance 5.1  (Feb 2010): 4-26.
*#* Racial Discrimination among NBA referees:  
+
*# Racial Discrimination among NBA referees:  
*# http://ww2.amstat.org//Chapters/boston/nessis07/presentation_material/Justin_Wolfers.pdf
+
*#* http://ww2.amstat.org//Chapters/boston/nessis07/presentation_material/Justin_Wolfers.pdf

Revision as of 16:02, 9 October 2016

Project Description

The aim of this project is to get deeper knowledge into the current trend in NBA and what makes a team succeed, so the questions we are going to answer are:
1. Is the role of centre becoming less and less important NBA?
2. Are 3-point-shooting teams more likely to win through the past ten years?
3. What is the most important quality of a championship team?
4. Is there a indicator of a player’s best performance in career?
5. What make 2011 Dallas mavericks and 1996 Houston Rockets win the championship?



Schedule

Academic Studying Week Task Done By Status
Week 7
1 Brainstorm project topic and scope Everyone Completed
Week 8
1 Formulate ideas Everyone Completed
2 Consulting Prof Everyone Completed
3 Deciding on tools/techniques to use Everyone Completed
4 Upload detail project proposal Everyone Completed



Week 9
1 Data preparation, consolidation, preprocessing and cleaning Everyone Not Completed
Week 10
1 Update Wiki page Everyone Not Completed
2 Study Treemap Not Completed
3 Study Multi-Series Line Chart Not Completed


Week 11 & 12
1 Web App Developer Everyone Not Completed
Week 13
1 Do poster, presentation preparation Everyone Not Completed
Week 14
1 Presentation Everyone Not Completed
Week 15
1 Submission of project poster Everyone Not Completed
2 Submission of final project paper and artifacts Everyone Not Completed
Week 16
1 Visual Analytics Poster Night Everyone Not Completed

TOOLS

Our team decided to use the following tools for analysis:

    1. Tableau:
      • Treemap
      • Sunburst Charts
      • Parallel Plots
    2. QGIS:
      • Geospatial Analysis: To see if there’s any correlation between
    3. JMP:
      • Clustering Analysis
      • Logistic Regression: The outcome of the analysis will usually be based on a success or failure of the game. Hence to do a regression analysis on factors for success of a game, we need to use logistic regression as the dependent variable is categorical in nature
      • Time Series Analysis: Basketball Reference consists of 5 years’ worth of dataset. Thus it’s worth doing a time series analysis on player performance, team performance, change in player’s role and several other factors

PRIOR WORK & REFERENCES