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