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Cloud Computing
Data Visualization (Team 30)
Sambuddha Basu - Mohit Jain - Prithvi Deep Chawla - Sourabh Dhanotia
201301141 201202164 201405620 201405605
Introduction
Web-application which enables the users to visualize different kinds of Data.
Functionalities
It takes input data from user
present different kinds of visualizations as requested by the user
store them persistently for future references.
Allows users to view the visualizations in different perspectives of each type of
data
Flow
Features
Supports various kinds of data formats
Allows user to mention all the details of visualizations required, within the data
file itself.
Converts all formats into one unified JSON format
Stores the data as well as the visualizations details in NOSQL database
MongoDB.
Supports Field based queries for retrieving previously drawn graphs
Screenshot1 : Upload File
Screenshot 2 : Plotted graph
Screenshot 3: Different fields of graph can be viewed
Screenshot 4: Query Section
Screenshot 5:Result of query retrieved and plotted
Technology Stack
Python with Flask framework
Charting APIs (c3.js , d3.js)
MongoDB for persistent storage
References
D3.js : http://d3js.org/
C3.js : http://c3js.org/
Python Flask : http://flask.pocoo.org
MongoDB : https://www.mongodb.org/
Thank You

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Data Visualization from JSON

Editor's Notes

  1. GitHub Link : https://github.com/NightFury13/DataVisualization