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We would like to analyze different development indicators such as life expectancy of a country, patent applications by residents, and trademark of applications which serves as great analyzation for the Business Analysts, Financial Analysts, and Data Scientists. Data set is collected from the World Bank websites, for this analysis, which has world development indicators with respect to the country. The data is analyzed based on the yearly timeline, geographical locations on the map and also top 10 countries for a particular world development indicator. Moreover, it has found that the countries where the life expectancy is high the people are more creative and the patent applications are created on a huge scale. Also, the trademark applications are more where the life expectancy is higher. This analysis provides insights on the world development indicators. In the paper, data analysis is done on a huge dataset by using Spark on Hadoop Big Data cluster and its visualization charts are presented.
Kunal Pritwani, Knox Wasley, Jongwook Woo. 2018. "Spark Big Data Analysis of World Development Indicators". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 18 (GJCST Volume 18 Issue C3).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 133
Country: United States
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: Kunal Pritwani, Knox Wasley, Jongwook Woo (PhD/Dr. count: 0)
View Count (all-time): 438
Total Views (Real + Logic): 1829
Total Downloads (simulated): 132
Publish Date: 2018 01, Mon
Monthly Totals (Real + Logic):
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