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Usability of Visualization Libraries for Web Browsers for Use in Scientific Analysis

by Luke Barnard, Matej Mertik
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 1
Year of Publication: 2015
Authors: Luke Barnard, Matej Mertik
10.5120/21501-4225

Luke Barnard, Matej Mertik . Usability of Visualization Libraries for Web Browsers for Use in Scientific Analysis. International Journal of Computer Applications. 121, 1 ( July 2015), 1-5. DOI=10.5120/21501-4225

@article{ 10.5120/21501-4225,
author = { Luke Barnard, Matej Mertik },
title = { Usability of Visualization Libraries for Web Browsers for Use in Scientific Analysis },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 1 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number1/21501-4225/ },
doi = { 10.5120/21501-4225 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:17.262805+05:30
%A Luke Barnard
%A Matej Mertik
%T Usability of Visualization Libraries for Web Browsers for Use in Scientific Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 1
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data visualization is incredibly important in order to make informed decisions about the relationships between different data in a dataset. When datasets are stored in relational databases, they can become complex and it is necessary to build tools that can condense the vast number of possible relationships to a few that are of interest. Navigating a dataset is one challenge; SQL queries are necessary to access the data and can be confusing to those with a non-technical background. Once data is acquired, it should be simple to visually test the relationships between data. This is the common workflow of an ELQA (ELectrical Quality Assurance) engineer at CERN, and a tool is described here that shortens this process based on the experience of the engineers. The currently available software libraries for data access, analysis and visualization were used to create such a tool. The focus of this paper is on data visualization and the libraries that can be used to provide an interactive, web-based solution for multiple members of a data collection team.

References
  1. Guido van Rossum. Python reference manual. Report CS-R9525, April 1995.
  2. K. Jarrod Millman and Michael Aivazis. Python for scientists and engineers. Computing in Science Engineering, 13(2):9–12, March 2011.
  3. Pierre de Buyl and Nelle Varoquaux. Proceedings of the 7th european conference on python in science (euroscipy 2014). CoRR, abs/1412. 7030, 2014.
  4. Fernando Prez and Brian E. Granger. Ipython: A system for interactive scientific computing. Computing in Science & Engineering, 9(3):21–29, 2007.
  5. Michael Bostock. D3. js. Data Driven Documents, 2012.
  6. Enamul Hoque and Giuseppe Carenini. Convisit: Interactive topic modeling for exploring asynchronous online conversations. In Proceedings of the 20th International Conference on Intelligent User Interfaces, IUI '15, pages 169–180, New York, NY, USA, 2015. ACM.
  7. EugeneWu, Leilani Battle, and Samuel R. Madden. The case for data visualization management systems: Vision paper. Proc. VLDB Endow. , 7(10):903–906, June 2014.
  8. Dan Vanderkam. Dygraphs javascript charting library, 2006.
  9. John D. Hunter. Matplotlib: A 2d graphics environment. Computing In Science & Engineering, 9(3):90–95, May-Jun 2007.
  10. MATLAB Users Guide. The mathworks. Inc. , Natick, MA, 5:333, 1998.
  11. Phil Hughes. Python and tkinter programming. Linux J. , 2000(77es), September 2000.
  12. Matplotlib. org. "screenshots matplotlib 1. 4. 2 documentation". "http://matplotlib. org/users/screenshots. html#slider-demo".
  13. Matplotlib. org. "how-to matplotlib 1. 4. 2 documentation". "http://matplotlib. org/faq/howto faq. html#matplotlib-with-django".
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