This repository analyzes post-performance data for the Harris County Houston Sports Authority from December 8, 2022, to December 9, 2023. The project leverages R, a powerful statistical programming language, to uncover insights from the data, guiding future communication and engagement strategies.

The Harris County Houston Sports Authority is pivotal in promoting sports and related activities within the region. This project analyzes the performance of their posts across various platforms over a year, providing valuable insights into audience engagement, content effectiveness, and overall communication strategy.

To analyze post-performance data from 12-08-22 to 12-09-23. To identify trends and patterns in audience engagement and interaction. To provide recommendations for optimizing future post strategies. Data Description The dataset includes information from various social media and digital platforms the Harris County Houston Sports Authority uses. Key data points include:

Platforms (LinkedIn, Twitter, Facebook, Instagram) Post content (text, images, videos, impressions, Engagement metrics (likes, shares, comments, views) Audience demographics (where available)

. ├── html/ # Raw html of R markdown ├── R/ # R scripts for analysis ├── requirements.R # R package dependencies └── README.md # Overview and guide to the repository

R: Primary programming language for analysis.

dplyr: For data manipulation. ggplot2: For data visualization. gapminder: For sample data (if used for demonstration). openxlsx: For reading and writing Excel files. plotly: For interactive plots. htmlwidgets: For rendering HTML widgets. Setup and Installation

bash Copy code git clone https://github.com/your-username/HCHSA_Post_Performance.git Navigate to the project directory: bash Copy code cd HCHSA_Post_Performance Install R and RStudio, if not already installed. Open RStudio and install the required packages:R Copy code install.packages(c("dplyr", "ggplot2", "gapminder", "openxlsx", "plotly", "htmlwidgets"))

To run the analysis:

Open the R scripts located in the R/ directory with RStudio. Execute the scripts in the provided order to perform the analysis. Contributing I want you to know that contributions to this project are welcome. Please follow these steps:

Fork the repository. Create a new branch for your feature (git checkout -b feature/AmazingFeature). Commit your changes (git commit -m 'Add some AmazingFeature'). Push to the branch (git push origin feature/AmazingFeature). Open a pull request. License This project is licensed under the MIT License - see the LICENSE file for details.

Link to the html file: https://jtyran.github.io/HCHSA_Post_Performance/

Contact For any questions or discussions, please reach out to the project maintainers:

Tyran Johnson Acknowledgments Harris County Houston Sports Authority