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MrBookman_LibraryCop OP t1_itz6f9t wrote

I like cheese and data analysis so I made this.

I went with a purchasing power adjusted imports value because I was interested in seeing what the differences in import values are taking into account the widely varying prices across the world. In other words, placing two people from e.g. Guatemala and Germany on equal footing, who imports more cheese? (it's Germany)

Data sources and tools:

  • Imports: Comtrade, noting that I used all 6-digit codes for cheese products in the Harmonised System (HS). They are 040610, 040620, 040630, 040640, and 040690.
  • Population: World Bank Open Data
  • I adjusted imports to account for purchasing power parity based on CEPII's GDP and GDP PPP data.
  • Tools: R – ggplot wrapped in plotly
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