Context: This is a standalone fisheries data analysis project using WCPFC tuna bycatch data. It is related to the thesis domain (fisheries economics) but is not the main thesis output.

Tuna Bycatch Data Analysis

Multi-phase analysis of Western and Central Pacific Fisheries Commission (WCPFC) tuna bycatch data using Jupyter Notebooks.

Notebooks

Notebook	Description
WCPFC_NB1_Data_Diagnostics	Phase 1-2: Data loading, cleaning, and diagnostics
NB2_Phase3_Phase4_Transparent_Metrics	Phase 3-4: Transparent metrics calculation
NB3_Phase5_Phase6_Bayesian_Sensitivity	Phase 5-6: Bayesian sensitivity analysis

Data Source

Data from the Western and Central Pacific Fisheries Commission (WCPFC).

Methods

• Data diagnostics and quality checks
• Transparent metrics calculation
• Bayesian sensitivity analysis

Requirements

jupyter
pandas
numpy
matplotlib