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The World Bank dataset provided by eSpatial mapping software was obtained from the World Bank. This dataset can be used to analyse and examine countries in relation to a number of different interesting topics. This dataset can be used in conjunction with the eSpatial mapping software to create reports which investigate population, GDP, CO2 emissions, life expectancy and net migration levels across the world. You can also link and connect your own personal or commercial data to these datasets. World population, GDP, CO2 emissions, life expectancy and net migration can also therefore be analysed in relation to your own data. Below is an example of a simple World Bank data report. This report was designed by eSpatial to illustrate how to get the most out of the eSpatial mapping software and the data it provides.

A simple report was created using the eSpatial mapping software and the World Bank Data dataset it provides. This report examines the levels of GDP and GDP per Capita across the world.

Countries are colored and categorized according to their level of GDP per capita. The graduated color scheme adopted by eSpatial mapping software allows for a quick and easy analysis of this data. It is evident from the map that yellow colored countries (e.g. Ethiopia) have the lowest levels of GDP per Capita, less than 1,000 (US$) while red colored countries (e.g. United States) have the highest levels at over 20,000 (US$). It is also therefore easy to surmise that the GDP per capita levels of the light orange (e.g. Nigeria), orange (e.g. China) and dark orange (e.g. Russia) colored countries lie somewhere between 1,000 and 20,000 (US$) respectively.

Firstly the topic reflected in the map can be changed quickly and easily simply by selecting the map this field option. Once this option has been selected the map will change to reflect the values in this topic (e.g. select the map this field option on GDP 2009 (US$) to see these values mapped in relation to the World). Secondly the report can be sorted in ascending or descending order. This is useful when trying to decipher quickly which areas have the highest/lowest values (e.g. select sort descending on GDP per Capita 2009 (US$) to see which country has the highest GDP per capita). Finally the report can also be filtered by specific values. This is useful when trying to quickly search for areas with specific values (e.g. select filter results on GDP per Capita 2009 (US$) so that countries with GDP per Capita levels between 30,000 and 100,000 are only displayed on the map).

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