feat: Introduce Most Productive Day and Time Features

[awcodify]

Changes Made

In this pull request, I've introduced new features to calculate the most productive day and time for a user's GitHub profile. This enhancement leverages advanced algorithms to provide users with insightful information about their coding activity patterns.

Purpose

The purpose of this change is to empower users with a deeper understanding of their GitHub profile. By determining the most productive day and time, users can optimize their workflow and gain valuable insights into their coding habits.

Features

1. Most Productive Day: Discover the day of the week when the user is most active based on commit history.
2. Most Productive Time: Identify the specific hour of the day when the user is most engaged in coding activities.

Benefits

• Efficiency: Users can quickly obtain valuable insights into their GitHub activity, facilitating a more streamlined workflow.
• Enhanced Understanding: Knowing the most productive day and time allows users to optimize their time and collaborate more effectively.
• User-Friendly Experience: These features enrich the GitHub profile summarization, providing a holistic view of the user's commitment patterns.

Testing

I have thoroughly tested these new features in various scenarios to ensure accurate calculations and a seamless user experience. Testing includes both small and large GitHub profiles to verify the reliability and performance of the added functionality.

Related Issues

Additional Notes

• The implementation ensures the accuracy of the most productive day and time calculations.
• These enhancements contribute to a more comprehensive and user-friendly GitHub profile summarization.

Checklist

• I have tested these new features thoroughly.
• The code adheres to coding standards.
• Documentation has been updated to reflect the introduction of the most productive day and time calculations.
• Changes have been approved by at least one reviewer.

Reviewer Guidance

Please review the new features related to calculating the most productive day and time, ensuring accuracy and a positive user experience.