In this project, I preprocessed an HR dataset and created three insightful Tableau dashboards to visualize the data. The objective was to clean and transform the raw data to make it suitable for analysis, and then present key insights in an interactive and user-friendly dashboard.
The dataset was sourced from HR Dataset Kaggle.
| ALL FEATURES | |||
|---|---|---|---|
| Employee_Name | EmpID | MarriedID | MaritalStatusID |
| GenderID | EmpStatusID | DeptID | PerfScoreID |
| FromDiversityJobFairID | Salary | Termd | PositionID |
| Position | State | Zip | DOB |
| Sex | MaritalDesc | CitizenDesc | HispanicLatino |
| RaceDesc | DateofHire | DateofTermination | TermReason |
| EmploymentStatus | Department | ManagerName | ManagerID |
| RecruitmentSource | PerformanceScore | EngagementSurvey | EmpSatisfaction |
| SpecialProjectsCount | LastPerformanceReview_Date | DaysLateLast30 | Absences |
Data cleaning was performed to ensure the dataset was free from errors and inconsistencies.
The following steps were taken:
- Remove Duplicates
- Standardizing data
- Convert data types
- Check Missing/NULL Values
Download SQL queries: ../Data-Cleaning-SQL-Queries.sql
Download as PDF: ../People-Analytics-Dashboard.pdf
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Download and Open the Tableau Workbook file on your own Tableau: ../HR-Data-Analysis-Tableau-Workbook.twbx










