Visualization on Attrition Dataset

A Power BI dashboard is a dynamic and interactive data visualization platform that compiles and presents key insights from complex datasets in a visually appealing and easy-to-understand manner. It allows users to explore data, track performance metrics, and gain actionable insights quickly. Power BI dashboards are powerful tools for decision-makers, enabling data-driven decision-making and fostering a deeper understanding of business or organizational data.

At the top of our Power BI dashboard, we have the following key insights:

• The total count of employees in the company is 1,470.
• We've experienced attrition with 237 employees leaving, resulting in an attrition rate of 16.12%.
• Currently, there are 1,233 active employees contributing to the workforce.
• The average age of our employees is approximately 37 years old.

These figures provide an essential overview of our workforce, attrition rate, and average employee age, which are crucial metrics for HR and management decision-making.

In the pie chart, attrition is categorized by department. Key findings include:

• The 'Research & Development' department contributes the most to the total attrition, accounting for 56.12% of attrition cases, with a total of 133 employees who have left.
• The 'Sales' department follows with 38.82% of the attrition cases, totaling 92 employees.
• The 'Human Resources' department has the lowest attrition contribution, at 5.06%, with 12 employees attriting.

This visual offers a clear distribution of attrition across departments, helping HR and management understand where attrition challenges may need specific attention and strategies.

    

   The matrix provides insights into employee satisfaction levels across different job roles. Each cell represents the number of employees from a specific job role who have expressed their satisfaction on a scale of 1 to 4. This data allows HR and management to pinpoint areas of high or low satisfaction within various roles, helping to tailor improvements and initiatives to enhance overall job satisfaction and employee retention.

This stacked column graph visually represents the distribution of employees based on their gender (male and female) and marital status (married, single, and divorced). Each column is divided into segments, with each segment corresponding to a specific combination of gender and marital status. This visualization helps us understand the composition of our workforce across different marital statuses within each gender category, providing insights into our organization's diversity and demographics.

        

This stacked bar graph visualizes the educational backgrounds of employees who have attrited. Each bar represents the total count of attrited employees, and it's segmented by their educational fields. This visualization offers insights into which educational backgrounds are more prevalent among employees who have left the company, helping HR and management understand attrition patterns and potentially identify areas for improvement or retention efforts.

Insight from Visualization:

In analyzing the data presented in the Power BI dashboard, we have identified several key insights:

• Our organization currently has 1,470 employees, with an attrition rate of 16.12%, resulting in 237 employees leaving.
• The majority of attrition (56.12%) occurs in the 'Research & Development' department, followed by the 'Sales' department (38.82%).
• Employee satisfaction levels vary across different job roles, providing an opportunity to address satisfaction disparities and improve overall morale.
• The distribution of marital status among attrited employees is visible, helping us understand the personal dynamics of those leaving the company.

These insights empower us with valuable information for HR decision-making, enabling us to focus on specific areas of concern such as attrition reduction, job satisfaction enhancement, and better understanding our workforce demographics.