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Retail Dashboard example

Trends

  • Revenue
  • No. of customers

Customers

  • Age, Sex, Location
  • Spending (average purchase value & distribution)
  • Frequency, recency

Products

  • Top/bottom selling
  • time of the day bought
  • season bought
  • data mining: support, lift, confidence

Stores

  • Sales per square meter
  • Conversion rate (No of transactions / Customer traffic)
  • Average sale
  • Number of visits
  • New/recurring visitors

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A Retail Dashboard using R Shiny.

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