Analysis and Design of Visualization of Educational Institution database using Power BI Tool

Mandava Geetha Bhargava; Kuppa Tara Phani Surya Kiran; Duvvada Rao

Analysis and Design of Visualization of Educational Institution database using Power BI Tool

Mandava Geetha Bhargava * §

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Kuppa Tara Phani Surya Kiran §

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Duvvada Rajeswara Rao

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§ KL University

Analysis and Design of Visualization of Educational Institution database using Power BI Tool

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Abstract

Visualization of data set is a process of making understand the significance of data through visual context and part of data analytics where it’s executed after the data correction. Nowadays visualization is more useful in business intelligence and Analytics in every field, There are different techniques for visualizing the datasets, it may be in dynamic or interactive nature, and datasets can be visualized in different types of visuals insights, This paper deals with the interactive visualization of educational institution database using Microsoft Power BI Tool with different modules and this paper focuses on process model, operations of Microsoft Power BI, types of data sources available in Tool and its different related types of visual insights or context.

References

14 Cites in Article

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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

Mandava Geetha Bhargava, Kuppa Tara Phani Surya Kiran, Duvvada Rajeswara Rao. 2018. "Analysis and Design of Visualization of Educational Institution database using Power BI Tool". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 18 (GJCST Volume 18 Issue C4).

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GJCST Volume 18 Issue C4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification I.6.8

Submission ReceivedDecember 14, 2017
Peer Review Double Blind
Handling Editor
Accepted January 5, 2018
Published October 4, 2018

Version of record

v1.2

Issue date

October 4, 2018

Language

English

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Mandava Geetha Bhargava, Kuppa Tara Phani Surya Kiran, Duvvada Rajeswara Rao (PhD/Dr. count: 0)

View Count (all-time): 540

Total Views (Real + Logic): 2432

Total Downloads (simulated): 129

Publish Date: 2018 01, Mon

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Total Views: 2.4K

Total Downloads: 129

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