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Weather-Data-Visualization-Using-Python

Weather Data Analysis Project

This project performs exploratory data analysis (EDA) on a historical weather dataset. It uses Python's powerful data science libraries such as pandas, numpy, matplotlib, and seaborn to explore trends and patterns in weather data.

📁 Dataset

The dataset used in this analysis is:

  • Source: weatherHistory.csv
  • Description: Includes historical weather records with features such as temperature, humidity, wind speed, and weather conditions.

🔧 Technologies Used

  • Python 3
  • Pandas
  • NumPy
  • Seaborn
  • Matplotlib
  • Jupyter Notebook

📊 Project Features

  • Data loading and preprocessing
  • Summary statistics
  • Data visualization (histograms, scatter plots, heatmaps)
  • Initial insights from data patterns

🚀 Getting Started

Prerequisites

Ensure you have the following installed:

pip install numpy pandas matplotlib seaborn jupyter