Weather Data Analysis & Time Calculator Utility in Python

Project Overview:

This project showcases python-based data analysis and utility scripting, handling real-world climate data processing and custom time calculations.

Key Features & Capabilities:

Climate Data Analysis (Pandas & Matplotlib):

Extracted and structured 5 years of historical weather data from NASA POWER CSV files.

Converted Julian dates (DOY) into standard datetime formats and cleaned missing values (-999).

Identified extreme weather events (hottest day, coldest day, and maximum rainfall).

Visualized multi-year daily temperature trends using customized line plots in matplotlib.

Time Calculator Utility Script:

Built a custom function to add duration (days, hours, minutes) to starting timestamps.

Handles 12-hour/24-hour clock conversions, weekday tracking, and relative day counters.

Tech Stack: Python | Pandas | Matplotlib | Data Cleaning | Data Visualization