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Malnutrition across the globe – EDA Dashboard with Power BI

Power BI Visual Link : https://colorstech.net/type-of-practice-file-needed/

Dataset Link : Click Here

This Power BI dashboard titled “Malnutrition across the globe – EDA Dashboard” provides a comprehensive visual exploration of malnutrition indicators across various countries, segmented by income categories.

📊 Overview of Dashboard Components (Power BI Tutorial Style):

1. Key Indicators (Cards) – Left Panel

  • Purpose: Display high-level summary metrics.
  • Implementation: Power BI Cards are used to show average values like stunting, wasting, underweight, overweight, etc., helping users quickly grasp critical statistics.

2. Distribution Charts (Histogram Visuals) – Top Center

  • Purpose: Show how malnutrition indicators (Overweight & Underweight) are distributed across population samples.
  • Implementation:
    • Bar charts (histograms) display frequency distribution.
    • Sliced by Income Category (High, Low) using color legends.
    • These visuals help analyze prevalence patterns across economic segments.

3. Scatter Plot – Underweight vs Overweight – Top Right

  • Purpose: Explore the relationship between underweight and overweight metrics.
  • Implementation:
    • Scatter plot visual with each point representing a sample group.
    • Color-coded by income categories for comparison.

4. Donut Chart – Bottom Left

  • Purpose: Show survey sample distribution by income category.
  • Implementation:
    • Donut chart visual with dynamic labeling and percentages.
    • Useful to understand the representativeness of the data by income level.

5. Line & Area Chart – Bottom Center

  • Purpose: Display trends over time for various malnutrition indicators.
  • Implementation:
    • Area/line chart showing averages of stunting, overweight, underweight, and severe wasting from 1980 to 2020.
    • This helps visualize changes and long-term trends.

6. Slicers – Right Panel

  • Purpose: Provide interactivity for filtering visuals.
  • Implementation:
    • Slicers for Income Category, Year, and Country.
    • Clicking any slicer dynamically updates all charts to reflect filtered data.

7. Branding/Footer

  • Purpose: Add branding and call-to-action.
  • Implementation:
    • A button or text box linking to a Power BI learning resource (Slidescope).

🔍 Tutorial Tips for Power BI Learners:

  • Use cards to summarize KPIs.
  • Combine categorical slicers with color legends for easy comparisons.
  • Layer line and area charts for showing multiple metrics over time.
  • Add scatter plots to explore relationships between two metrics.
  • Always provide filters/slicers for interactivity and drill-down capability.
  • Use consistent colors and labels across visuals for clarity.