feat: Analytics and Metrics Chapter

[BekahHW]

Introduction to Analytics and Metrics

• Explain the importance of analytics and metrics in open source projects.
• Differentiate between various types of metrics: code metrics, community metrics, and project health metrics.

Setting Goals and Objectives

• Discuss how to set clear, measurable goals for the project.
• Explain how metrics can help in achieving these goals.

Types of Metrics

Code Metrics:

• Code Quality: Lines of code, code complexity, documentation coverage.
• Code Activity: Number of commits, pull requests opened/closed, time to merge.

Community Metrics:

• Contributor Growth: Number of new contributors, frequency of contributions.
• Engagement: Number of active contributors, discussion threads, comments.

Project Health Metrics:

• Issue Metrics: Time to respond to issues, issue resolution time.

Analyzing and Interpreting Data

• Guide on interpreting the data collected.

• Understanding trends and patterns in the metrics.

• Identifying areas of improvement based on data.

• Making Data-Driven Decisions

• How to use metrics to make informed decisions about the project's direction.

• Balancing quantitative data with qualitative feedback from the community.

• https://docs.opensauced.pizza/maintainers/maintainers-guide-to-open-sauced/

• Bus factor

[adiati98]

Completed in #68