Weather Analysis

Description

Weather data analysis is a critical component in understanding climate patterns and making informed decisions in various sectors like agriculture, transportation, and urban planning. This project focuses on analyzing historical weather data to extract meaningful insights and trends. The analysis involves processing large volumes of weather data using AWS services like S3, Glue, Lambda, and Athena to build an efficient ETL pipeline.

The project leverages Python for data processing and visualization, with Tableau used for creating interactive dashboards. The insights derived from this analysis help in understanding seasonal variations, extreme weather events, and long-term climate trends.