Weather Forecast analysis
This project performs end‑to‑end analysis and forecasting on a multi‑year daily weather dataset. It cleans and transforms the raw Excel data with Python (Weather_Analysis (1).py), exports a structured CSV (weather_dataset_stage.csv), and then uses SQL (HiCounselor3.sql) to answer analytical questions such as temperature trends, cold/hot day classification, humidity and windspeed summaries, and extreme‑weather conditions. A Power BI dashboard (weather forecasting analysis Dashboard.pbix) and a detailed report document visualize key metrics and provide insights, including extended forecast predictions for future years (2034–2035). Overall, the project demonstrates a complete data pipeline from raw data to cleaned dataset, SQL‑based exploration, and interactive BI reporting for weather forecasting.