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This Power Bi dashboard analyzes employee attrition trends in a company based on age, salary, department, gender, job role, years of service and job satisfaction. The Goal is to identify key factors influencing employee turnover and provide data-driven insights for HR decision-making.
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Sales has the highest attrition, while R&D has a lower rate.
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Low salaries (upto 5k) see the most attrition.
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Most employess leave within the first two years.
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Mid-career employees (26-35 years) have the highest turnover.
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Lab technicians and Sales Executives experience the most attrition.
The dataset was cleaned and prepared using the following steps :
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Removed duplicates to ensure accuracy
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Handled null values by appropriate imputation or removal
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Standardized categorical values for consistency
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Ensured data integrity for meaningful Analysis
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Interactive visualizations to explore attrition trends
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Filters for deeper insights ( e.g., by department, gender, salary, age)
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Dynamic KPIs to track attrition rates across various dimensions
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Power BI - Data cleaning, visualization and dashboard creation
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CSV file - Data source used for Analysis