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ReserarchID
CSTITUE7OO
Data set is collected for colleges of United States. We would like to analyze different dimensions like SAT scores, ear-ning after graduation, net price and grant financial aids which is a great analyzation for the students. Big Data platform and BI tool such as Spark and tableau are adopted for data analy-zation and visualization. It is found that the top colleges for mean earnings are from medical field, mean earnings with respect to states, detailed comparison of average net price of California and New York, SAT scores for different colleges and also average undergraduates receiving Pell Grant in each colle-ges which will help students to select a college which meets their requirement.
Kunal Pritwani. 2017. \u201cHistorical College Scorecard Big Data Analysis using In-Memory Processing\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 17 (GJCST Volume 17 Issue H1).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 134
Country: United States
Subject: Global Journal of Computer Science and Technology - H: Information & Technology
Authors: Kunal Pritwani, Atinder Singh, Dharmesh Soni, Mounika Vallabhaneni and Jongwook Woo (PhD/Dr. count: 0)
View Count (all-time): 330
Total Views (Real + Logic): 6718
Total Downloads (simulated): 1763
Publish Date: 2017 03, Mon
Monthly Totals (Real + Logic):
This study aims to comprehensively analyse the complex interplay between
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