Intuit AI Scientist Technical Phone Screen - Weather Data Analysis Task

AI Science TPI: Weather Data Analysis You are given a dataset with temperature and precipitation data for a single city over a period of three years. The dataset has the following columns: • date — th

AI Science TPI: Weather Data Analysis You are given a dataset with temperature and precipitation data for a single city over a period of three years. The dataset has the following columns: • date — the date of the observation • maxt — the maximum temperature • mint — the minimum temperature • avgt — the average temperature • Precip — the average precipitation Goal: Help customers estimate their energy costs from heating and cooling based on the weather. Task: Rank the days by likely energy usage, in descending order.

Notes: • You may use common libraries. • You may use library API and syntax references. • The input data is available in the file input.csv in the Jupyter Notebook application and must be used to solve the task. Do you also want me to draft the Python notebook solution that: 1. Loads input.csv 2. Defines a proxy formula for heating/cooling energy usage (e.g., based on deviation of avgt from a comfort temperature like 65°F) 3. Ranks the days by estimated energy usage?