Report for T-MSIS-Analytic-File-Generation-Python

This graph provides an overview of the statuses of issues and pull requests in the repository. It categorizes them into open issues, open pull requests, and closed and merged pull requests, helping track progress and worklad distribution.

This line graph represents contributor activity over time by showing the number of commits made each month. It provides insights into trends in developement and periods of high and low activity.

This graph measures the complexity of the codebase over time by analyzing the number lines, blank line and commented lines.

This timeline graph visualizes the age of dependencies in the repository in terms of 'libyears.' It highlights how up-to-date the dependencies are and the potential risk of outdated libraries.

This graph measures the 'Don't Repeat Yourself' (DRY) principle compliance in the repository. It calculates the percentage of duplicate versus unique code, indicating the overall efficiency of the codebase.

This graph provides an estimation of the developement cost and corresponding value of the project.

This graph estimates the time required to develop the project.