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Analysis of Military, Health, and Education Expenditures of Top 10 Countries from 2012 to 2016

Authors: Vu, Trinh; Zahadat, Nima;

Analysis of Military, Health, and Education Expenditures of Top 10 Countries from 2012 to 2016

Abstract

This analysis focuses on visualization of Military, Healthcare, and Educational Spending of the Top 10 Countries from the G-20 group in 2012 - 2016. The purpose is to create a visualization web page representing the data in an organized way so that readers could be able to see differences, similarities, and general trends of how the top 10 countries spend on military, healthcare, and education. All raw data were collected from World Bank Open Data. The selection of countries, data cleanup, and calculations were done using Jupyter Notebook and Excel. The web page was created using HTML, CSS, JavaScript, and Google Visualization API. There are some interesting conclusions drawn from the analysis. The US spends the most in military, healthcare, and education in Billion USD. In terms of percent GDP, the US spends the most in Healthcare, Russia spends the most in Military, and Brazil spends the most in Education. The 10 countries spend the most on Healthcare and the least on Military. Per capita spending in education, healthcare, and military tend to be higher in those countries that have higher per capita GDP. The US is the fastest growing country in healthcare and education in Billion USD, but India is the fastest growing country in percentage.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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