Data Visualization Admin Dashboard using Full Stack MERN Web Application

Registration ID: IJNRD_222610

Published ID: IJNRD2405814

DOI: Click Here to Get

R.Dhakshina Murthy , R.K.Shanmuga Priya

Full Stack MERN, Data Visualization

Data visualization involves presenting data in graphical or pictorial form which makes the information easy to understand. It helps to explain facts and determine courses of action. It will benefit any field of study that requires innovative ways of presenting large, complex information. The advent of computer graphics has shaped modern visualization. Data visualization is the presentation of quantitative information in a graphical form. In other words, data visualizations turn large and small data-sets into visuals that are easier for the human brain to understand and process. This paper is an attempt to create Data visualizations application using MERN stack using various tools available. In the front end React js Library is used to create to render UI Components and Redux toolkit is used for state management. Along with React Js other libraries such as material ui and nivo js chart is used to render various types of visualization tools. In the back end the project is implemented using Node js & Expess Js frameworks for server side operations. The project used MongoDB as a backend to store data.

Published Paper   E-Certificate

R.Dhakshina Murthy & R.K.Shanmuga Priya (May-2024). Data Visualization Admin Dashboard using Full Stack MERN Web Application. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), I116-I124. https://ijnrd.org/papers/IJNRD2405814.pdf

Volume 9 Issue 5, May-2024

Pages : I116-I124

Paper Reg. ID: IJNRD_222610

Published Paper Id: IJNRD2405814

Downloads: 000121980

Research Area: Computer Science & Technology 

Country: Tirupur, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405814.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405814

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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