Abstract
The main task of this paper is to describe the form of large data amount obtaining, its processing and a chart visualization. In order to get required information, charts need to have the interactive character with many setting parameters and properties. For these reasons, many visualization libraries exist that simplify the developer’s work. In this paper there, most used chart visualization web libraries are described. In the next part, the new software solution was designed. Its development and realization was based on the real data from the industrial environment.
Keywords
- Visualization
- Application
- Data
- Processing
- Charts
This is a preview of subscription content, access via your institution.
Buying options




References
Murray, S.: Interactive data visualization for the web. O’Reilly Media, CA (2013)
French, C.S.: Data Processing and Information Technology. Thomson, London (2004)
Yuk, M., Diamond, S.: Data Visualization for Dummies. Wiley, New York (2014)
Graph types - definitions and examples. http://www.typesofgraphs.com/
W3C contributors: HTML5 - a vocabulary and associated APIs for HTML and XHTML. http://www.w3.org/TR/html5/
Pilgrim, M.: HTML5: Up and Running. O’Reilly Media, CA (2010)
Stefanov, S.: Object-Oriented JavaScript. Packt Publishing Ltd., Birmingham (2008)
Karavirta, V., Shaffer, C.A.: JSAV: the JavaScript algorithm visualization library. In: Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education, pp. 159–164 (2013)
Charts - Interactive charts for browsers and mobile devices. https://developers.google.com/chart/
Chart.js - Open source HTML5 Charts for your website. http://www.chartjs.org/
D3- Data Driven Documents. https://d3js.org/
Flot - Attractive JavaScript plotting for jQuery. http://www.flotcharts.org/
Geary, D.: Core HTML5 Canvas – Graphics, Animation and Game Development. Prentice Hall, US (2012)
Rischpater, R.: JavaScript JSON Cookbook. Packt Publishing Ltd., Birmingham (2015)
Acknowledgments
The created application was developed in collaboration with Incinity Company, which develops complex integrated platform for smart cities. This company also provided data source that was processed.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Pokorný, P., Stokláska, K. (2017). Chart Visualization of Large Data Amount. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-57141-6_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57140-9
Online ISBN: 978-3-319-57141-6
eBook Packages: EngineeringEngineering (R0)