weather_data_analysis_2016

A Python tool to analyze and visualize historical weather data for specific locations, providing detailed reports and yearly trend visualizations.

🌦️ Weather Survey and Visualization Tool

Welcome to the Weather Survey and Visualization Tool! This project is a Python-based tool designed to analyze historical weather data for specific states and cities. Whether you're looking for detailed insights on a particular day or want to visualize the weather trends over a year, this tool has you covered!

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🚀 Features

• Date-Specific Weather Report: Fetches weather data for a specific date, including average, minimum, and maximum temperatures, as well as wind speed.
• Yearly Weather Visualization: Generates clear and informative visualizations of weather trends for the entire year, plotting:
  • Average temperature
  • Minimum temperature
  • Maximum temperature
  • Wind speed
• Location-Based Filtering: Filters weather data based on the selected state and city.

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🛠️ How It Works

1. Date-Specific Query:

Get detailed weather data for a specific date by providing the date, state, and city. The program will print the:

• Average Temperature 🌡️
• Minimum Temperature ❄️
• Maximum Temperature 🔥
• Wind Speed 🌬️

2. Yearly Weather Trends:

If no date is provided, the program generates interactive visualizations for the selected location, showing temperature and wind speed trends for the whole year.

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📝 Usage

1. Install Required Libraries: Make sure you have pandas and matplotlib installed:

   pip install pandas matplotlib