Next Article in Journal
Trading off Network Density with Frequency Spectrum for Resource Optimization in 5G Ultra-Dense Networks
Previous Article in Journal
Average Load Definition in Random Wireless Sensor Networks: The Traffic Load Case
Article Menu
Issue 4 (December) cover image

Export Article

Open AccessArticle
Technologies 2018, 6(4), 113; https://doi.org/10.3390/technologies6040113

Using the R Language to Manage and Show Statistical Information in the Cloud

1
Statistics and Operations Research Department, Technical University of Catalonia, CA80034 Barcelona, Spain
2
Centre d’Estudis d’Opinió–Generalitat de Catalunya, CA08009 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Received: 11 October 2018 / Revised: 15 November 2018 / Accepted: 20 November 2018 / Published: 30 November 2018
Full-Text   |   PDF [7720 KB, uploaded 13 December 2018]   |  

Abstract

We present a methodology to enable users to interact with the statistical information (survey data) of a public opinion institute which is stored in Cloud infrastructure. Mainly using R, this approach was developed following the open-data philosophy. Also, as we used R, the implementation is mainly based on open-source software. R has several advantages from the point of view of data management and acquisition, as it is becoming a common framework that can be used to structure the processes involved in any statistical operation. It further simplifies the access to data and enables the use of all the power of R in Cloud infrastructure. This methodology was applied successfully to develop a tool to manage the data of the Centre d’Estudis d’Opinió, but it can be applied to other institutions to enable open access to their data. The infrastructure was also deployed to Cloud infrastructure to assure its scalability and 24/7 access. View Full-Text
Keywords: R; open data; API; statistics; DSS; web service R; open data; API; statistics; DSS; web service
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Fonseca i Casas, P.; Tormos, R. Using the R Language to Manage and Show Statistical Information in the Cloud. Technologies 2018, 6, 113.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Technologies EISSN 2227-7080 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top