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