Historical College Scorecard Big Data Analysis using In-Memory Processing

Kunal Pritwani; Atinder Singh; Dharmesh Soni

Historical College Scorecard Big Data Analysis using In-Memory Processing

Kunal Pritwani * §

Contact

Atinder Singh

Contact

Dharmesh Soni

Contact

California State University, Los Angeles

Historical College Scorecard Big Data Analysis using In-Memory Processing

Article Fingerprint

ReserarchID

CSTUE7OO

Historical College Scorecard Big Data Analysis using In-Memory Processing Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

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.

References

11 Cites in Article

Reference Format

Kaggle (2016). Unknown Title.
(2016). Federal Student Aid.
Ran Liu,Kenneth Koedinger (2016). Going Beyond Better Data Prediction to Create Explanatory Models of Educational Data.
Nathaniel Scharping (2016). Which Countries Are Paying the Highest Price for Particulate Air Pollution?.
Atinder Singh (2016). CollegeScorecardAnalysis." Github -Atinder03.
Kunal Pritwani (2016). College-Historical-Analysis.
(2011). Special technical session on high performance computing for pattern recognition at the 1998 international conference on parallel and distributed processing techniques and applications (PDPTA'98), July 13–16, 1998, Las Vegas, Nevada, USA Call for Papers.
Jongwook Woo (2013). Market Basket Analysis algorithms with <scp>MapReduce</scp>.
(2016). Best Graduate Schools by Salary Potential.
(2016). Announcements from APPAM.
Michael Hurwitz,Jonathan Smith (2016). Student Responsiveness to Earnings Data in the College Scorecard.

Download References

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, Atinder Singh, Dharmesh Soni. 2017. "Historical College Scorecard Big Data Analysis using In-Memory Processing". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 17 (GJCST Volume 17 Issue H1).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 17 Issue H1

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-H Classification H.3.4

Submission ReceivedDecember 11, 2016
Peer Review Double Blind
Handling Editor
Accepted December 31, 2016
Published January 15, 2017

Version of record

v1.2

Issue date

March 13, 2017

Language

English

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 174

Country: United States

Subject: Global Journal of Computer Science and Technology

Authors: Kunal Pritwani, Atinder Singh, Dharmesh Soni, Mounika Vallabhaneni and Jongwook Woo (PhD/Dr. count: 0)

View Count (all-time): 515

Total Views (Real + Logic): 2160

Total Downloads (simulated): 140

Publish Date: 2017 01, Sun

Monthly Totals (Real + Logic):

Month 1: 54 views
Month 2: 65 views
Month 3: 57 views
Month 4: 30 views
Month 5: 19 views
Month 6: 27 views
Month 7: 42 views
Month 8: 30 views
Month 9: 27 views
Month 10: 48 views
Month 11: 37 views
Month 12: 29 views
Month 13: 37 views
Month 14: 18 views
Month 15: 36 views
Month 16: 31 views
Month 17: 44 views
Month 18: 21 views
Month 19: 31 views
Month 20: 31 views
Month 21: 40 views
Month 22: 33 views
Month 23: 20 views
Month 24: 12 views
Month 25: 38 views
Month 26: 26 views
Month 27: 46 views
Month 28: 44 views
Month 29: 13 views
Month 30: 41 views
Month 31: 28 views
Month 32: 48 views
Month 33: 15 views
Month 34: 21 views
Month 35: 28 views
Month 36: 16 views
Month 37: 30 views
Month 38: 22 views
Month 39: 29 views
Month 40: 43 views
Month 41: 26 views
Month 42: 15 views
Month 43: 34 views
Month 44: 39 views
Month 45: 18 views
Month 46: 49 views
Month 47: 23 views
Month 48: 30 views
Month 49: 19 views
Month 50: 32 views
Month 51: 39 views
Month 52: 28 views
Month 53: 27 views
Month 54: 37 views
Month 55: 24 views
Month 56: 29 views
Month 57: 16 views
Month 58: 33 views
Month 59: 27 views
Month 60: 46 views
Month 61: 36 views
Month 62: 39 views
Month 63: 38 views
Month 64: 42 views
Month 65: 45 views
Month 66: 29 views
Month 67: 29 views
Month 68: 22 views
Month 69: 18 views
Month 70: 17 views
Month 71: 17 views
Month 72: 41 views
Month 73: 25 views
Month 74: 33 views
Month 75: 32 views
Month 76: 30 views
Month 77: 32 views
Month 78: 39 views
Month 79: 30 views
Month 80: 23 views
Month 81: 27 views
Month 82: 25 views
Month 83: 29 views
Month 84: 10 views
Month 85: 39 views
Month 86: 48 views
Month 87: 25 views
Month 88: 24 views
Month 89: 42 views
Month 90: 38 views
Month 91: 14 views
Month 92: 31 views
Month 93: 19 views
Month 94: 17 views
Month 95: 30 views
Month 96: 22 views
Month 97: 22 views
Month 98: 15 views
Month 99: 44 views
Month 100: 31 views
Month 101: 37 views
Month 102: 49 views
Month 103: 34 views
Month 104: 38 views
Month 105: 17 views
Month 106: 21 views
Month 107: 31 views
Month 108: 41 views
Month 109: 43 views
Month 110: 64 views
Month 111: 60 views
Month 112: 20 views
Month 113: 28 views
Month 114: 51 views
Month 115: 76 views
Month 116: 28 views

Total Views: 2.2K

Total Downloads: 140

All Trends