The article introduces the 'ggstatsplot' package, which is designed to integrate statistical analysis results into ggplot2-based visualizations in R. This package aims to streamline the process of data exploration and reporting by providing a one-line syntax that embeds statistical details within informative graphics. The benefits of this approach include producing charts that display both raw data and numerical summaries, enhancing reproducibility, highlighting effect sizes, and facilitating the evaluation of statistical assumptions. The package supports various statistical tests and visualizations, making it a valuable tool for researchers and data analysts. It is licensed under the GNU General Public License (v3.0) and is available on GitHub. The article also discusses the future scope of the project and acknowledges the contributions of various individuals and projects that have influenced its development.The article introduces the 'ggstatsplot' package, which is designed to integrate statistical analysis results into ggplot2-based visualizations in R. This package aims to streamline the process of data exploration and reporting by providing a one-line syntax that embeds statistical details within informative graphics. The benefits of this approach include producing charts that display both raw data and numerical summaries, enhancing reproducibility, highlighting effect sizes, and facilitating the evaluation of statistical assumptions. The package supports various statistical tests and visualizations, making it a valuable tool for researchers and data analysts. It is licensed under the GNU General Public License (v3.0) and is available on GitHub. The article also discusses the future scope of the project and acknowledges the contributions of various individuals and projects that have influenced its development.