Оценка уровня зависимости темпов роста ежегодных относительных приростов налима (lota lota) от условий водности

subtitle: "WQD7004 – Programming for Data Science Project" author: "Group 3 | Occurrence 1" date: "18 January 2026" Project Background : Our organization, a large Infrastructure & Asset Management Firm, manages a diverse portfolio of properties across varying climates. With the increasing frequency of extreme weather events, the Chief Information Officer (CIO) has mandated a 10-week initiative to develop a data-driven Flood Risk Prediction Framework. This project aims to transition our risk management strategy from reactive repairs to proactive asset protection.