README.Rmd

---
title: "Air Quality Data Analysis Script"
output: md_document
date: "2023-10-18"
---

# Air Quality Data Analysis Script

This R script is designed to clean and analyze air quality data. It performs various operations such as calculating average solar radiation for each month, determining correlations between Ozone and Solar Radiation for each month, saving plots for each month, and saving cleaned data. The script uses the `ggplot2` and `dplyr` packages for data visualization and manipulation.

## Usage

To use the script, follow these steps:

1.  Make sure you have R and the necessary packages installed (ggplot2, dplyr).
2.  Download or clone the script file `script.R`.
3.  Run the script using an R environment.

``` r
# Load the necessary libraries
library(ggplot2)
library(dplyr)

# Run the script
source("script.R")
```

## Functionality

The script provides the following functionalities:

-   **Data Cleaning:** Removes rows with missing values from the air quality data.
-   **Calculating Averages:** Calculates the average solar radiation for each month and prints the results to the console.
-   **Calculating Correlations:** Determines the correlation between Ozone and Solar Radiation for each month and prints the results to the console.
-   **Plot Generation:** Generates plots for each month, visualizing the relationship between Solar Radiation and Ozone.
-   **Data Saving:** Saves the cleaned data to a CSV file.

## Author

This script was created by [Your Name].

## License

This project is licensed under the [MIT License](https://opensource.org/licenses/MIT).

Feel free to modify and use the script according to your requirements.

## Acknowledgements

This script was developed as part of a data analysis project. We would like to thank the R community for their invaluable contributions and support.

Please feel free to reach out with any questions or suggestions!