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ForestQuery, a fictitious non-profit organization, is on a mission to reduce deforestation around the world and to raise awareness about the importance of this environmental subject.

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Deforestation Exploration

ForestQuery, a fictitious non-profit organization, is on a mission to reduce deforestation around the world and to raise awareness about the importance of this environmental subject.

The goal of this project is to help ForestQuery management understand the global deforestation overview between 1990 and 2016. Three tables of data have been found online: forest area, land area, and regions.

The task is to present a report to ForestQuery management about the global situation, regional outlook, and country-level details of deforestation as well as recommendations. In the appendix, all SQL queries should be presented according to the SQL formatting guidelines.

Steps to Complete

  • Create a View called “forestation” by joining all three tables - forest_area, land_area, and regions in the workspace.
  • The forest_area and land_area tables join on both country_code AND year.
  • The regions table joins these based on only country_code.
  • In the ‘forestation’ View, include the following:
  • All of the columns of the origin tables
  • A new column that provides the percent of the land area that is designated as forest.
  • Keep in mind that the column forest_area_sqkm in the forest_area table and the land_area_sqmi in the land_area table are in different units (square kilometers and square miles, respectively), so an adjustment will need to be made in the calculation you write (1 sq mi = 2.59 sq km).

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ForestQuery, a fictitious non-profit organization, is on a mission to reduce deforestation around the world and to raise awareness about the importance of this environmental subject.

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