1. • Connecting Power BI to World Population Data - Web URL Method

     About the Data (Description of the URL)

     The webpage World Population by Country provides real-time data on the population of every country in the world. The dataset includes:

     • Country Name
     • Population (2024 estimates)
     • Yearly % Change
     • Net Change
     • Density (P/Km²)
     • Land Area (Km²)
     • Migrants (net)
     • Fertility Rate
     • Median Age
     • Urban Population %
     • World Share %

     This dataset is useful for analyzing population trends, urbanization, density, migration patterns, and demographic insights across different countries.

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     Steps to Connect Power BI to This Web Data

     1. Open Power BI Desktop
     2. Click on "Home" > "Get Data" > "Web"
     3. In the URL box, enter:
        👉 https://www.worldometers.info/world-population/population-by-country/
     4. Click OK, and Power BI will load the webpage structure.
     5. A Navigator window will open, displaying available tables from the webpage.
     6. Select the table containing the required country-wise population data.
     7. Click Load to import the dataset into Power BI.
     8. If necessary, open Power Query Editor to clean and transform the data:
        • Remove unnecessary columns (e.g., rank columns, repeated fields).
        • Convert data types (e.g., ensure population is numeric).
        • Rename column headers for clarity.
     9. Click Close & Apply to finalize the dataset.
     10. Now, proceed with creating visualizations and reports based on the research questions.

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     Problem Statement

     "How can we analyze global population distribution, urbanization trends, and demographic changes using Power BI? What insights can we gain to predict future trends in global population shifts?"

     This dataset will help explore questions such as which countries have the highest population growth, which regions are more urbanized, and how density varies across different land areas.

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     Research Questions and Steps to Generate Power BI Reports

     1. Which countries have the highest and lowest population densities?

     Steps to Create Report:

     1. Open Power BI Desktop
     2. Select Bar Chart
     3. Drag Country to the X-Axis
     4. Drag Density (P/Km²) to the Y-Axis
     5. Sort the chart in Descending Order to highlight the most densely populated countries
     6. Use Filters or Slicers to analyze by region or urbanization %
     7. Apply Conditional Formatting to highlight extremes

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     2. How does urbanization vary across different countries?

     Steps to Create Report:

     1. Select Map Chart (Filled Map or Bubble Map)
     2. Drag Country to the Location Field
     3. Drag Urban Population % to the Size Field
     4. Adjust Data Colors to differentiate highly urbanized regions
     5. Use Filters to focus on specific continents or high-growth regions

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     3. What is the relationship between population and fertility rate?

     Steps to Create Report:

     1. Select Scatter Plot
     2. Drag Population to the X-Axis
     3. Drag Fertility Rate to the Y-Axis
     4. Add Country as a Legend
     5. Observe how different countries cluster based on their fertility rates

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     4. How does migration impact total population growth?

     Steps to Create Report:

     1. Select Stacked Column Chart
     2. Drag Country to the X-Axis
     3. Drag Net Migration to the Y-Axis
     4. Drag Population Growth Rate as Secondary Y-Axis (in Line and Column Chart)
     5. Analyze which countries gain or lose the most due to migration

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     5. Which countries contribute the most to global population?

     Steps to Create Report:

     1. Select Pie Chart or Donut Chart
     2. Drag Country to the Legend
     3. Drag World Share % to the Values
     4. Use Filters to view only specific continents
     5. Analyze the share of each country in the total world population

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     Final Insights

     Using these reports, students can analyze:
     ✅ Which countries dominate global population trends
     ✅ How urbanization correlates with density and migration
     ✅ How fertility rate and migration affect overall population growth
     ✅ What insights policymakers can use to address demographic challenges

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