job9 completed

job9.sql

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+-- Étudiez au moins 6 autres variables de world afin d’obtenir des insights pertinents (Literacy, Net migration, Birthrate, Deathrate, Infant mortality, Arable, Crops, …)
+
+
+-- Literacy Rate Insights:
+
+SELECT AVG(Literacy_Rate) AS average_literacy_rate,
+       MAX(Literacy_Rate) AS max_literacy_rate,
+       MIN(Literacy_Rate) AS min_literacy_rate
+FROM world;
+
+
+-- Net Migration Insights:
+
+
+SELECT AVG(Net_Migration) AS average_net_migration,
+       SUM(Net_Migration) AS total_net_migration
+FROM world;
+
+
+
+
+-- Birthrate and Deathrate Insights:
+
+
+SELECT AVG(Birthrate) AS average_birthrate,
+       AVG(Deathrate) AS average_deathrate
+FROM world;
+
+
+
+
+-- Infant Mortality Insights:
+
+SELECT MAX(Infant_Mortality) AS max_infant_mortality_country,
+       MIN(Infant_Mortality) AS min_infant_mortality_country
+FROM world;
+
+
+
+-- Arable and Crops Insights:
+
+SELECT AVG(Arable_Percent) AS average_arable_percent, AVG(Crops_Percent) AS average_crops_percent FROM world;
+
+
+
+-- Average and Total Crops Percentage:
+
+SELECT AVG(Crops_Percent) AS average_crops_percent,
+       SUM(Crops_Percent) AS total_crops_percent
+FROM world;
+