Pull Requests Dataset Exploration Report

Gain a comprehensive understanding of pull request data with Keypup's Pull Requests Dataset Exploration Report. This indispensable tool investigates how pull request data from Git sources is precisely imported, normalized, and integrated into Keypup. By familiarizing yourself with the detailed structure and organization of your pull requests dataset, you can attain clearer insights into your development processes, contributing to more effective code integration, improved team collaboration, and elevated project outcomes.

Explore Your Pull Requests Dataset Now!

Optimize Your Pull Request Processes

with the

Pull Requests Dataset Exploration Report

Gain a comprehensive understanding of pull request data with Keypup's Pull Requests Dataset Exploration Report. This indispensable tool investigates how pull request data from Git sources is precisely imported, normalized, and integrated into Keypup. By familiarizing yourself with the detailed structure and organization of your pull requests dataset, you can attain clearer insights into your development processes, contributing to more effective code integration, improved team collaboration, and elevated project outcomes.

Explore Your Pull Requests Dataset Now!
Pull Requests Dataset Exploration ReportPull Requests Dataset Exploration ReportPull Requests Dataset Exploration Report

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Deep Dive Into Your Pull Requests Data

To build the PR Dataset Exploration Report, we apply two filters on the report from the Issues and PRs Dataset: one date filter and one filter on the “Type” field to isolate pull requests only.

We then offer 20 columns with populated or calculated fields to facilitate your PR data exploration. These columns include:

  • Created at: The date/time at which the PR was created.
  • Title: The title, summary, or name of the PR.
  • Author: The username of the person who created the PR. Note that usernames are app specific.
  • Assignees: The list of people usernames declared as being assigned to the PR. Note that usernames are app specific.
  • Body: The body of the PR in source format.
  • Labels: The list of labels tagged to the PR. Labels are app-specific and case-sensitive.
  • URL: The PR URL in the source application.
  • First commit at: The date/time at which the first commit was made on a pull request. 
  • Due on: The due date of the PR. This due date takes into account resolved issues (e.g., a pull request resolving multiple issues will have a due on value equals to the earliest due date).
  • Project: The name of the project associated with the PR
  • State: The open/close state of the PR. Possible values are: CLOSED: The pull request was closed without being merged, DRAFT: The pull request is currently being worked on and is not ready to be looked at by others, MERGED: The pull request was merged, OPEN: The pull request is still active.
  • Build status: The state of the Continuous Integration (CI) as exposed by the code management platforms (e.g., GitHub, GitLab). Possible values are: NONE: No builds detected, IN_PROGRESS: The build is pending or currently running, FAILURE: The build failed to complete due to an error, a timeout or because it was canceled, SUCCESS: The build completed successfully or was skipped, ACTION_REQUIRED: The build requires a manual action from the user.
  • Merge at: The date/time at which the pull request was merged. The field will be null for pull requests which have been closed without merge.
  • Merge by: The username of the person who merged the pull request. Note that usernames are app specific.
  • Closed at: The date/time at which the PR was merged or closed.
  • Line changed: This calculated field provides the number of lines of code added or deleted in the pull request (additions + deletions).
  • Requested reviewers: The list of people usernames assigned as reviewers on the pull request. Note that usernames are app specific.
  • Updated at: The date/time at which the PR was last updated.
  • Head ref | branch: The branch of the head ref (source branch).
  • Base ref | branch: The branch of the base ref (destination branch).

Key Benefits of the Pull Requests Dataset Exploration Report

Efficient Pull Request Management

Uncover the nuances of how pull request data is structured and utilized within your development projects. This report reveals the complexities of pull request management, offering insights into enhancing the efficiency and effectiveness of your code review and integration processes.

Deep Understanding of Development Dynamics

Through an in-depth analysis of the pull request data, identify key trends and patterns in your development activities. This understanding is crucial for recognizing and overcoming potential obstacles in your coding and reporting practices.

Seamless Workflow Integration

Employ the insights from this report to effectively integrate pull request data into your development workflow. Understanding the detailed data mapping and processing allows for the creation of more streamlined and productive development practices and metrics.

Data-Driven Development Enhancements

Use the comprehensive insights provided by the report to construct and monitor impactful metrics and make informed decisions regarding code reviews, team collaboration, and project timelines. The granularity of the data analysis equips you to customize your strategies to align with your project's specific requirements.

Leverage the Power of the Pull Requests Dataset Exploration Report

The Pull Requests Dataset Exploration Report is an essential asset for any team seeking to deepen their trust in and understanding of their pull request data. With this report, you can refine your code review strategies, enhance collaboration, and improve overall project development and reporting.

Ready to elevate your development processes? Explore the Pull Requests Dataset Exploration Report and begin transforming your pull request management today.

Explore Your Pull Requests Dataset Now!