{"id":30184370,"url":"https://github.com/visvav/hr-analytics-dashboard","last_synced_at":"2026-02-26T01:13:52.661Z","repository":{"id":308862989,"uuid":"1018113362","full_name":"VisvaV/HR-Analytics-Dashboard","owner":"VisvaV","description":null,"archived":false,"fork":false,"pushed_at":"2025-08-08T09:15:11.000Z","size":288,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-08T11:23:57.978Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/VisvaV.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-07-11T16:18:14.000Z","updated_at":"2025-08-08T09:15:15.000Z","dependencies_parsed_at":"2025-08-08T11:25:29.453Z","dependency_job_id":"d66e559e-860c-4ecd-8007-15a90b507e2f","html_url":"https://github.com/VisvaV/HR-Analytics-Dashboard","commit_stats":null,"previous_names":["visvav/hr-analytics-dashboard"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/VisvaV/HR-Analytics-Dashboard","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VisvaV%2FHR-Analytics-Dashboard","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VisvaV%2FHR-Analytics-Dashboard/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VisvaV%2FHR-Analytics-Dashboard/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VisvaV%2FHR-Analytics-Dashboard/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VisvaV","download_url":"https://codeload.github.com/VisvaV/HR-Analytics-Dashboard/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VisvaV%2FHR-Analytics-Dashboard/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279019124,"owners_count":26086679,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-14T02:00:06.444Z","response_time":60,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-08-12T12:07:15.278Z","updated_at":"2025-10-14T14:15:29.836Z","avatar_url":"https://github.com/VisvaV.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# HR Analytics Dashboard (Power BI)\n\nThis project presents a **comprehensive and interactive HR Analytics Dashboard** built using **Power BI**, leveraging the `HRDataset_v14` dataset. The dashboard helps analyze employee attrition, department-wise distribution, salary trends, and hiring sources — enabling **data-driven decision-making** for HR professionals.\n\n---\n\n## Dashboard Highlights\n\n- **Total Headcount**: 135 employees  \n- **Total Salary Paid**: ₹70.63K  \n- **Total Attritions**: 44 employees  \n- **Attrition Rate**: 32.59%  \n- **Average Age**: 46.29 years  \n\n---\n\n## Dataset Overview\n\n**Dataset Used**: `HRDataset_v14`  \n**Key Attributes**:\n- `EmployeeID`\n- `Department`\n- `Position`\n- `EmpStatus`\n- `Gender`\n- `DateofHire`\n- `RecruitmentSource`\n- `Salary`\n- `Age`\n- `Attrition`\n\n---\n\n## Key Visuals\n\n- **Headcount by Department**  \n- **Headcount by Age Bucket \u0026 Marital Status with Gender**  \n- **Attrition Trends by Date of Hire**  \n- **Recruitment Source Analysis**  \n- **Cumulative Hiring Curve**  \n- **Attrition by Time Series**\n\n---\n\n## Filters \u0026 Interactivity\n\nThe dashboard includes **interactive slicers** to drill down into the data:\n- Department  \n- Position  \n- Employment Status  \n- State  \n- Gender  \n\nThese filters allow for customized, slice-and-dice analysis.\n\n---\n\n## Insights Derived\n\n-  **Production** has the highest headcount.  \n-  **Age group 26–35** dominates the workforce.  \n-  Majority of employees are **married males**.  \n-  Most hiring happens via **LinkedIn and Indeed**.  \n-  Hiring has steadily increased since **2010**, with some **attrition spikes** around certain years.  \n\nThese findings can guide **recruitment strategies**, **retention plans**, and **future workforce planning**.\n\n---\n\n## Tools \u0026 Technologies Used\n\n- **Power BI Desktop**\n- **DAX Measures** \u0026 Calculated Fields  \n- **Custom Visuals**\n- **Color-Themed UI for Clean Layout**\n\n---\n\n## How to Use\n\n1. Clone or download this repo  \n2. Open `HR-Analytics-Dashboard.pbix` in Power BI Desktop  \n3. Ensure `HRDataset_v14.xlsx` is placed in the same directory  \n4. Refresh the data → Explore the visuals and insights\n\n---\n\n## Future Enhancements\n\n- **Attrition Forecasting** with ML models  \n- **Employee Sentiment Analysis** if satisfaction data is added  \n- Integration with **Python/R scripts** in Power BI  \n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvisvav%2Fhr-analytics-dashboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvisvav%2Fhr-analytics-dashboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvisvav%2Fhr-analytics-dashboard/lists"}