https://github.com/veronsheva/hr_dashboards
Interactive HR dashboard using Tableau & MySQL – explore employee trends, performance, attrition, and salary insights.
https://github.com/veronsheva/hr_dashboards
calculated-fields charts cte dashboards data-analysis data-cleaning design eda mysql queries tableau window-functions
Last synced: 5 months ago
JSON representation
Interactive HR dashboard using Tableau & MySQL – explore employee trends, performance, attrition, and salary insights.
- Host: GitHub
- URL: https://github.com/veronsheva/hr_dashboards
- Owner: VeronSheva
- Created: 2025-05-16T09:57:26.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-20T17:53:46.000Z (about 1 year ago)
- Last Synced: 2025-06-16T13:52:10.106Z (about 1 year ago)
- Topics: calculated-fields, charts, cte, dashboards, data-analysis, data-cleaning, design, eda, mysql, queries, tableau, window-functions
- Homepage: https://public.tableau.com/views/HRDashboards_17473175745560/HRSummary?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link
- Size: 8.56 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Tableau HR Dashboard 👥📈
This project is an interactive Tableau dashboard designed to analyze employees data.
The dashboard highlights trends, performance metrics, and key insights
across multiple years.
🔗 [View the Dashboard on Tableau Public](https://public.tableau.com/views/HRDashboards_17473175745560/HRSummary?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link)
### 🛠 Tools Used
Tableau Public – Data visualization and dashboard development
Mysql - Data cleaning and EDA
### 📁 Dataset
- [Data with Baraa Pratice Dataset](https://www.datawithbaraa.com/tableau/tableau-hr-project-thank-you/)
- The dataset was generated using ChatGPT prompts and the Python Faker library.
- It simulates realistic HR data, including demographics, job details, salary, performance evaluations, and attrition data.
### 📈 HR Summary Dashboard Features
- KPIs Overview: Trends in hiring, terminations, and active employee counts
- Bar chart: Hired & terminated employees by department
- Map: Geographic distribution of hires (state and city), HQ vs. branches
- Heatmaps: Age vs. education level, education vs. performance rating
- Barbell chart: Salary comparison by gender and education level
- Scatter plot: Average age and salary for role
- Interactive Filters: Gender, employment status, location and hire date
### 👥 HR Details Dashboard Features
- Employee List: View individual details such as:
- Demographics
- Role
- Location
- Salary
- Employment Status
- Length of employment
- Column Filters: Easily filter and sort by any attribute
### 🔧 Dashboard Interactivity
Users can:
- Use filters and charts to drill into specific segments
- Interactive charts double as filters for enhanced user experience
- Navigate seamlessly between Summary and Details dashboards
### 🔍 Insights
- Hiring Trends: Peak in 2017 (1,560 hires), lowest in 2021 (422)
- Terminations: Highest in 2023 (174 employees)
- Headquarters: 70% of employees
- Top Salaries:
- Finance Manager ($149,377)
- Sales Manager ($135,055)
- IT Manager ($133,425)
- Termination-to-Hire Ratio by Education:
- Highest: Bachelor's degree (12.6%)
- Lowest: PhD (10.4%)
- By Department:
- Highest: Finance (16.2%), HR (13.2%), Customer Service (12.4%)
- Lowest: Marketing (10.8%), IT (11.2%)
- Performance Ratings by Age:
- Under 25: Lowest "Excellent" (15.0%), highest "Needs Improvement" (14.0%)
- 55+: Highest "Excellent" (19.9%), lowest "Needs Improvement" (11.8%)
- Performance Ratings by Department:
- Best: Sales (23.7% "Excellent", 7.0% "Needs Improvement")
- Worst: Customer Service (13.6% "Excellent", 19.7% "Needs Improvement")
- Gender Pay Gap by Education:
- At lower levels (High School, Bachelor), males earn more
- At higher levels (Master's, PhD), females earn more, with a ~$13K gap at PhD level
- Other Notable Stats:
- Highest average salary & age: Finance Manager ($125,123; 50 years old)
- Youngest average role: HR Manager (33 years old)
- Lowest average salary: HR Assistant ($60,645)
### 💡 What I Learned
This project helped me practice:
- SQL-based data cleaning and exploration
- Designing interactive dashboards in Tableau
- Creating user-friendly visual stories
- Extracting meaningful business insights from raw data
Feel free to explore it and reach out with feedback!
Thank You!
Veronika Shevchenko