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GNI = []
Internet_use = []
International_tourism = []
Life_expectancy = []
Physicians = []
with open ("wdi_wide.csv") as file:
  _, _, _, _, gn, iu, it, le, p = line.split(",")
  International_tourism.append(float(gn))
  Interned_use.append(float(iu))
  International_tourism.append(float(it))
  Life_expectancy.append(float(le))
  Physicians.append(float(p))
gni_min = min(GNI) 
gni_max = max(GNI) 
gni_avg = sum(GNI) / len(GNI)

internet_use_min = min(Internet_use)
internet_use_max = max(Internet_use)
internet_use_avg = sum(Internet_use) / len(Internet_use) 

international_tourism_min = min(International_tourism)
international_tourism_max = max(International_tourism)
international_tourism_avg = sum(International_tourism) / len(International_tourism)

life_expectancy_min = min(Life_expectancy)
life_expectancy_max = max(Life_expectancy)
life_expectancy_avg = sum(Life_expectancy) / len(Life_expectancy) 

physicians_min = min(Physicians)
physicians_max = max(Physicians)
physicians_avg = sum(Physicians) / len(Physicians)

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wdi_wide.csv.xls

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