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WhatsApp Group Data Analysis with R

by Sanchita Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 154 - Number 4
Year of Publication: 2016
Authors: Sanchita Patil
10.5120/ijca2016912116

Sanchita Patil . WhatsApp Group Data Analysis with R. International Journal of Computer Applications. 154, 4 ( Nov 2016), 31-36. DOI=10.5120/ijca2016912116

@article{ 10.5120/ijca2016912116,
author = { Sanchita Patil },
title = { WhatsApp Group Data Analysis with R },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 154 },
number = { 4 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 31-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume154/number4/26482-2016912116/ },
doi = { 10.5120/ijca2016912116 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:59:22.219870+05:30
%A Sanchita Patil
%T WhatsApp Group Data Analysis with R
%J International Journal of Computer Applications
%@ 0975-8887
%V 154
%N 4
%P 31-36
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The means of communication has changed over time according to the situation and advancements in technology. The process of transferring data from one individual to another such as audio, video and images have grown beyond texting and evolved to enable the transmission of media not only between two individuals but also in a group where huge number of people can interact and have a talent to connect worldwide. WhatsApp is such an application which is used widely for transferring media, text, files as well as audio calling. This research paper predicts the level of addiction of an individual to the WhatsApp group as per the age group and gender with the help of R statistics software programme.

References
  1. D.Radha, R. Jayaparvathy, D. Yamini, “Analysis on Social Media Addiction using Data Mining Technique”, International Journal of Computer Applications (0975 – 8887) Volume 139 – No.7, pp. 23-26, April 2016.
  2. Sanchita Patil,“ Big data analytics using R”, International Research Journal of Engineering and Technology (IRJET) Volume 3, Issue 7 July 2016,pp. 78-81.
  3. Sagar Deshmukh, “Analysis of WhatsApp Users and Its Usage worldwide”, International Journal of Scientific and Research Publications, Volume 5, Issue 8, pp. 1-3,August 2015 1 ISSN 2250-3153.
  4. https://en.wikipedia.org/wiki/Data_analysis#cite_note-O.27Neil_and_Schutt_2014-3
  5. https://www.reference.com/education/purpose-collecting-data-8d8be32cc477eb45#
  6. Tal Galili, “R-bloggers”, December 10, 2015. [Online] Available: http://www.r-bloggers.com/how-to-learn-r-2/ [Accessed: 23- July- 2016]
  7. SSCC (social science computing cooperative), “R for Researchers: Projects”. [Online]Available:http://www.ssc.wisc.edu/sscc/pubs/RFR/RFR_Projects.html [Accessed: 23- July- 2016]
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  9. Jovial, “Exploratory data analysis with R”, [Online] Available: https://rpubs.com/Jovial/R [Accessed: 23- July- 2016]
Index Terms

Computer Science
Information Sciences

Keywords

Data Analysis R Programming Visualization WhatsApp.

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