Power BI Project on Indian Kids Screen Time
Indian Kids Screen Time Dataset
Problem Statement :
To analyze the impact of screen time on children in India, focusing on their primary devices, educational-to-recreational balance, and associated health issues, and to derive insights for parents, educators, and policymakers using Power BI visualization and analytics
Step-by-Step Workflow in Power BI
1. Data Upload
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Open Power BI Desktop → Home → Get Data → CSV/Excel → load your dataset.
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Verify column data types:
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Age → Whole Number
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Gender, Primary_Device, Health_Impacts, Urban_or_Rural → Text
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Avg_Daily_Screen_Time_hr, Educational_to_Recreational_Ratio → Decimal
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Exceeded_Recommended_Limit → Boolean
2. Data Transformation (Power Query)
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Go to Transform Data → Power Query.
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Clean column names (rename for readability):
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Avg_Daily_Screen_Time_hr
→Screen Time (hrs)
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Educational_to_Recreational_Ratio
→Edu/Rec Ratio
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Handle Health_Impacts:
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Split column by delimiter (comma
,
) → results in multiple impacts (Poor Sleep, Eye Strain, Anxiety). -
Optionally create a Health Count column → number of issues per child.
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Derived columns:
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Age Group (Conditional Column):
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<=12
→ Kids -
13-15
→ Early Teens -
16-18
→ Late Teens
-
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Screen Category:
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<2 hrs
→ Low -
2–4 hrs
→ Moderate -
>4 hrs
→ High
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Apply and Close.
3. New Measures (DAX in Power BI)
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Average Screen Time:
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