{"id":28256232,"url":"https://github.com/veronsheva/hr_dashboards","last_synced_at":"2026-01-24T07:32:37.927Z","repository":{"id":293637227,"uuid":"984667275","full_name":"VeronSheva/HR_dashboards","owner":"VeronSheva","description":"Interactive HR dashboard using Tableau \u0026 MySQL – explore employee trends, performance, attrition, and salary insights.","archived":false,"fork":false,"pushed_at":"2025-05-20T17:53:46.000Z","size":8972,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-16T13:52:10.106Z","etag":null,"topics":["calculated-fields","charts","cte","dashboards","data-analysis","data-cleaning","design","eda","mysql","queries","tableau","window-functions"],"latest_commit_sha":null,"homepage":"https://public.tableau.com/views/HRDashboards_17473175745560/HRSummary?:language=en-US\u0026:sid=\u0026:redirect=auth\u0026:display_count=n\u0026:origin=viz_share_link","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/VeronSheva.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":"2025-05-16T09:57:26.000Z","updated_at":"2025-05-20T18:05:25.000Z","dependencies_parsed_at":"2025-05-16T11:33:36.842Z","dependency_job_id":null,"html_url":"https://github.com/VeronSheva/HR_dashboards","commit_stats":null,"previous_names":["veronsheva/hr_dashboards"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/VeronSheva/HR_dashboards","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VeronSheva%2FHR_dashboards","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VeronSheva%2FHR_dashboards/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VeronSheva%2FHR_dashboards/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VeronSheva%2FHR_dashboards/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VeronSheva","download_url":"https://codeload.github.com/VeronSheva/HR_dashboards/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VeronSheva%2FHR_dashboards/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28718960,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-24T05:53:42.649Z","status":"ssl_error","status_checked_at":"2026-01-24T05:53:41.698Z","response_time":89,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["calculated-fields","charts","cte","dashboards","data-analysis","data-cleaning","design","eda","mysql","queries","tableau","window-functions"],"created_at":"2025-05-19T22:16:15.521Z","updated_at":"2026-01-24T07:32:37.923Z","avatar_url":"https://github.com/VeronSheva.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tableau HR Dashboard 👥📈\n\n![HR Summary Preview](preview/HR_Summary.png)\n![HR Details Preview](preview/HR_Details.png)\n\nThis project is an interactive Tableau dashboard designed to analyze employees data. \nThe dashboard highlights trends, performance metrics, and key insights\nacross multiple years.\n\n🔗 [View the Dashboard on Tableau Public](https://public.tableau.com/views/HRDashboards_17473175745560/HRSummary?:language=en-US\u0026:sid=\u0026:redirect=auth\u0026:display_count=n\u0026:origin=viz_share_link)\n\n### 🛠 Tools Used\nTableau Public – Data visualization and dashboard development\nMysql - Data cleaning and EDA\n\n### 📁 Dataset\n- [Data with Baraa Pratice Dataset](https://www.datawithbaraa.com/tableau/tableau-hr-project-thank-you/)\n- The dataset was generated using ChatGPT prompts and the Python Faker library. \n- It simulates realistic HR data, including demographics, job details, salary, performance evaluations, and attrition data. \n\n### 📈 HR Summary Dashboard Features\n- KPIs Overview: Trends in hiring, terminations, and active employee counts\n- Bar chart: Hired \u0026 terminated employees by department\n- Map: Geographic distribution of hires (state and city), HQ vs. branches\n- Heatmaps: Age vs. education level, education vs. performance rating\n- Barbell chart: Salary comparison by gender and education level\n- Scatter plot: Average age and salary for role\n- Interactive Filters: Gender, employment status, location and hire date\n\n\n### 👥 HR Details Dashboard Features\n- Employee List: View individual details such as:\n  - Demographics\n  - Role\n  - Location\n  - Salary\n  - Employment Status\n  - Length of employment\n- Column Filters: Easily filter and sort by any attribute\n\n### 🔧 Dashboard Interactivity\nUsers can:\n- Use filters and charts to drill into specific segments\n- Interactive charts double as filters for enhanced user experience\n- Navigate seamlessly between Summary and Details dashboards\n\n### 🔍 Insights\n\n- Hiring Trends: Peak in 2017 (1,560 hires), lowest in 2021 (422)\n- Terminations: Highest in 2023 (174 employees)\n- Headquarters: 70% of employees\n- Top Salaries:\n  - Finance Manager ($149,377)\n  - Sales Manager ($135,055)\n  - IT Manager ($133,425)\n- Termination-to-Hire Ratio by Education:\n  - Highest: Bachelor's degree (12.6%)\n  - Lowest: PhD (10.4%)\n- By Department:\n  - Highest: Finance (16.2%), HR (13.2%), Customer Service (12.4%)\n  - Lowest: Marketing (10.8%), IT (11.2%)\n- Performance Ratings by Age:\n  - Under 25: Lowest \"Excellent\" (15.0%), highest \"Needs Improvement\" (14.0%)\n  - 55+: Highest \"Excellent\" (19.9%), lowest \"Needs Improvement\" (11.8%)\n- Performance Ratings by Department:\n  - Best: Sales (23.7% \"Excellent\", 7.0% \"Needs Improvement\")\n  - Worst: Customer Service (13.6% \"Excellent\", 19.7% \"Needs Improvement\")\n- Gender Pay Gap by Education:\n  - At lower levels (High School, Bachelor), males earn more\n  - At higher levels (Master's, PhD), females earn more, with a ~$13K gap at PhD level \n- Other Notable Stats:\n  - Highest average salary \u0026 age: Finance Manager ($125,123; 50 years old)\n  - Youngest average role: HR Manager (33 years old)\n  - Lowest average salary: HR Assistant ($60,645)\n\n### 💡 What I Learned\nThis project helped me practice:\n- SQL-based data cleaning and exploration \n- Designing interactive dashboards in Tableau \n- Creating user-friendly visual stories \n- Extracting meaningful business insights from raw data\n\nFeel free to explore it and reach out with feedback!\n\nThank You!\n\nVeronika Shevchenko\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fveronsheva%2Fhr_dashboards","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fveronsheva%2Fhr_dashboards","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fveronsheva%2Fhr_dashboards/lists"}