Air Quality Data Analysis

This project analyzes air quality data, providing insights and visualizations on key parameters such as CO levels, benzene concentrations, and more.

Introduction

This project focuses on cleaning and exploring air quality data to gain insights into trends and patterns.

Data Preprocessing

• Removed missing data.
• Formatted date and time.
• Created a day of the week column.
• Removed duplicates.

Exploratory Data Analysis

• Calculated average values.
• Analyzed temperature, humidity, and absolute humidity.
• Explored parameter relationships using pair plots.

Visualization

• Created various visualizations for effective data communication.

For detailed information, refer to the code and documentation within the project files.