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This Power BI dashboard titled “Global Air Pollution Data – AQI Analysis” is a comprehensive visualization of air quality index (AQI) metrics across cities and countries. Here’s a simple tutorial-style overview to help you understand its components and functionality:

Dataset Link : Click Here


🔷 Dashboard Title and Theme

  • Title: Global Air Pollution Data – AQI Analysis
  • The dashboard focuses on analyzing global AQI indicators like CO, NO2, Ozone, and PM2.5.

🔢 KPI Summary Cards (Top Row)

These cards display the global average values:

  1. Average of AQI Value – 72.01
  2. Avg of CO AQI Value – 1.37
  3. Avg of NO2 AQI Value – 3.06
  4. Avg of Ozone AQI Value – 35.19
  5. Avg of PM2.5 AQI Value – 68.52

These KPIs give a quick glance at overall air quality across pollutants.


📊 Visualizations Explained

1. Count of City by AQI Category (Pie Chart)

  • Categories: Good, Moderate, Unhealthy, etc.
  • Majority of cities fall in Moderate and Unhealthy categories.

2. Count of City by CO AQI Category (Bar Chart)

  • Most cities show Good CO levels (over 23,000).
  • Very few cities are in other categories.

3. Count of City by Ozone AQI Category (Donut Chart)

  • Dominated by Good Ozone levels (89.8%).

4. Count of City by PM2.5 AQI Category (Bar Chart)

  • Shows varying PM2.5 levels across AQI categories.
  • Good and Moderate are most common; Hazardous is rare.

🌍 Country-wise Analysis

5. Top 10 Countries by Higher Avg AQI (Bar Chart)

  • Republic of Korea, Bahrain, and Pakistan have high average AQI values.
  • Republic of Korea tops with 500 AQI.

6. Top 5 Countries by Higher Avg CO AQI (Donut Chart)

  • Shows contribution of countries like:
    • Republic of Korea
    • South Africa
    • Nigeria, etc.

7. Top 10 Countries by Higher Avg NO2 AQI (Tree Map)

  • Republic of Korea and Kuwait have highest NO2 levels.

8. Bottom 5 Countries with Lower PM2.5 AQI (Bar Chart)

  • Cleanest air (lowest PM2.5):
    • Norway
    • Iceland
    • Maldives
    • Palau
    • Solomon Islands

🔍 Filter Controls (Top-Right)

  • Country Dropdown – Filter data by selected country.
  • City Dropdown – Further drill down into city-level analysis.


    📝 Summary

    This Power BI dashboard offers a multi-angle view of global air pollution data:

    • It’s useful for comparing air quality across countries and cities.
    • The use of various visual types (bar, pie, donut, treemap) enhances clarity.
    • Filters help users perform customized exploration.