/CS564-LoL-Personality

Primary LanguageR

Analysis on Human Personality and League of Legends Factors (KAIST CS564 '20 Fall Class Project)

Data Collection & Preprocessing With Python

  • Data Collection/Preprocessing Code: collect_rank_match.py, preprocess.py, prepare-analysis.py
  • Datasets: responses.csv, all_tiers.csv, all_matches.csv
  • Collect League of legends player statistics collection via Riot API.
  • Preprocess lane and role information to generate five lane information.

Mainly written by Jiseong Yang and Taeckyung Lee

Clustering Champion Data

  • Collect League of legends 152 different champions data in JSON Format via Riot API and transform it into a data frame.(Code: lolchampions.py)
  • Clustering champions with Hierarchical Clustering: Main_Analysis.R.

Mainly written by Giyoung Byun and Soohwan Lim

Survey Data Preprocessing & R analysis

  • Preprocessing code: prepare_analysis.py

  • Datasets: Roll_Data.csv

  • Combine collected log data with survey results

  • R analysis code: Main_Analysis.R

  • R analysis of MBTI and LoL, based on clustering results and preprocessed data

Mainly written by Seojin Kim and Soohwan Lim