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Spark Big Data Analysis of World Development Indicators

§ California State University
‡ California State University, Los Angeles

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Abstract

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.

References

12 Cites in Article
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  2. 2. Worldbank (2013). Life expectancy at birth, total population 2013/1. Life expectancy at birth, total population 2013/1
  3. 3. J Woo,Y Xu (2011). Market Basket Analysis Algorithm with Map/Reduce of Cloud Computing. The 2011 international Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2011)
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-C Classification H.3.m
Version of record
v1.2

Issue date
July 27, 2018

Language
English
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Spark Big Data Analysis of World Development Indicators

Kunal Pritwani
Kunal Pritwani California State University
Knox Wasley
Knox Wasley <p>California State University</p>
Jongwook Woo
Jongwook Woo <p>California State University, Los Angeles</p>