Employee Overtime: A Real-World Data Analysis Tutorial in Power BI | HR Analysis | MiTutorials

In this video, we dive into a real-world scenario to analyze employee overtime patterns. Using a dataset that simulates the number of days employees have worked overtime, we'll guide you through:

Preparing the dataset for analysis
Creating visualizations to display the number of overtime working days on the X-axis and the number of employees on the Y-axis
Interpreting the results to understand workload trends.

This tutorial is perfect for HR professionals, data analysts, and anyone interested in data visualization. By the end of this video, you'll have the skills to create your own insightful analysis of employee overtime.

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0:00 Introduction & Dataset
2:00 Tutorial Begings
7:55 Creating Visualizations

[sr]

Thank you !
No Of Employees =
VAR emp_OT =
ADDCOLUMNS(
SUMMARIZE( Overtime, Overtime[EmployeeID]),
)
RETURN
CALCULATE(
DISTINCTCOUNT(Overtime[EmployeeID]),
FILTER(
emp_OT,
)
)

[nariroeplal]

U were right, is indeed a bit complex 😢😅 but well explained. Thanks!

[nkechiizeji]

This is too complex. Don't really understand.