Natural Selection Skill Ranking and Data Analysis

This project does NS1 Log analysis using statistics and ML.

Requirements:

Use these when running locally on macOS/Linux:

export SPARK_LOCAL_IP=127.0.0.1
export JAVA_HOME="$(/usr/libexec/java_home -v 17)"

Why these are needed:

SPARK_LOCAL_IP Forces Spark to bind to localhost. This avoids hostname/network interface resolution problems (common on laptops and VPN setups) that can cause Spark startup failures or flaky local runs.
JAVA_HOME Pins Spark to Java 17 explicitly. Spark in this project is expected to run with Java 17; pointing to newer JVMs can fail at startup or runtime.
PYTHON_LOGGING_LEVEL (optional) Controls Python logging verbosity in the analysis scripts via ea_common.py. Example:

export PYTHON_LOGGING_LEVEL=DEBUG

Accepted values follow standard Python logging levels, for example DEBUG, INFO, WARNING, ERROR, CRITICAL.

For full-run, execute in a *nix terminal:

bash ./full_analysis.sh

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
.vscode		.vscode
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
data_analysis.py		data_analysis.py
data_analysis_dl.py		data_analysis_dl.py
data_analysis_maps.py		data_analysis_maps.py
data_analysis_mlt.py		data_analysis_mlt.py
data_analysis_os.py		data_analysis_os.py
data_analysis_time.py		data_analysis_time.py
data_ascii_players.py		data_ascii_players.py
data_plot_maps.py		data_plot_maps.py
data_plot_metrics.py		data_plot_metrics.py
data_plot_time.py		data_plot_time.py
ea_common.py		ea_common.py
ea_schema.py		ea_schema.py
full_analysis.sh		full_analysis.sh
init_env.fish		init_env.fish
log_parser.py		log_parser.py
preprocess.sh		preprocess.sh
requirements.txt		requirements.txt