NBA-data-analyse
project for NUS summer school 2016, analyse basketball data
Files
Raw Dataset
- player_career.csv
- players.csv
- player_regular_senson.csv
Code
NBA.R
Result
6 images, namely:
- cluster result: Rplot.png or k-means.png
- overall view in one group: overall.png
- detail view in one group: h-w.png
- detail view with time changing in one group: b-year.png
- overall compare amount groups: g_c.png
External Dependencies
Programming Languages
R
R Packages
- ggplot2
- cluster
- fpc
- ploty
- radarchart
- dplyr
- tidyr
- reshape2
Environment Needed
- R installed
- internet connection
References
Data Source
http://www.databasebasketball.com/stats_download.htm
ggplot2
http://tutorials.iq.harvard.edu/R/Rgraphics/Rgraphics.html http://docs.ggplot2.org/current/
Community Detection
https://www.r-bloggers.com/summary-of-community-detection-algorithms-in-igraph-0-6/ http://www.statmethods.net/advstats/cluster.html
What's more
still need to discover other facts, result can be draw in a nicer way.