Inclusion of mini projects with explanation in R language

[CheetahCodes21]

Title: Inclusion of Data Analytics and Visualization Mini Projects in R with Detailed Code Explanations

Description: Become a contributor, make a mini project in R with any difficulty level do not hesitate I will ensure you that I will accept your PR and make your contribution vital

Objective:

Enhance the GitHub repository by adding mini projects in R that focus on data analytics and data visualization. Each project should come with clear and efficient code explanations to help learners understand the concepts and techniques involved.

Scope:

1. Project Selection: Curate projects in the fields of data analytics and data visualization using R, ensuring they cover a range of data sources and complexities.

2. Code Explanation: Provide comprehensive code explanations in each project, guiding users through the code's logic, techniques, and use of R packages.

3. Quality: Ensure high-quality, well-structured R code following best practices, and maintain consistent code formatting.

4. Structure: Organize the repository with separate directories for each project, complete with informative README.md files.

Expected Benefits:

• Learning Hub: Offer a valuable resource for those seeking to learn or improve their data analytics and visualization skills in R.

• Efficient Learning: Focus on efficient code explanations to accelerate the learning process.

• Community Involvement: Encourage collaboration and contributions from the R community, creating a dynamic learning platform.

Steps to Implement:

1. Select diverse data analytics and visualization projects for inclusion.

2. Populate the repository with code and documentation, emphasising clear, efficient explanations.

3. Maintain well-structured code and directory organisation.