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Learn Challenge: Compare Regional Performance | Automating Reports and Visual Insights
Python Automation for Reports and Visual Insights
Section 1. Chapter 16
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bookChallenge: Compare Regional Performance

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Task

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Create a function compare_regional_performance() that builds a regional sales DataFrame, computes key metrics, and prints a formatted summary.

  • Create a DataFrame with columns "Region" and "Sales" containing at least four regions and their sales values
  • Calculate total sales — the sum of the Sales column
  • Identify the region with the highest sales and its value
  • Identify the region with the lowest sales and its value
  • Print a summary that includes:
    • A header: Regional Sales Summary:
    • Total sales as: Total Sales: {value}
    • Highest performing region as: Highest Sales: {region} ({value})
    • Lowest performing region as: Lowest Sales: {region} ({value})
    • A label All Regions: followed by a table of all regions and their sales

Solution

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Section 1. Chapter 16
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