Datasets
Standard Dataset
Data Bandwidth Measurement for Conference Call Data Usage
- Citation Author(s):
-
Dikamsiyochi YoungUDOCHI
COVENANT UNIVERSITYSimon KaranjaHINGACOVENANT UNIVERSITYAderemi A.ATAYEROCOVENANT UNIVERSITY - Submitted by:
- Dikamsiyochi Udochi
- Last updated:
- Fri, 09/18/2020 - 10:53
- DOI:
- 10.21227/g9v0-hm89
- Data Format:
- License:
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- Keywords:
Abstract
During the first half of 2020, the COVID-19 pandemic changed the social gathering lifestyle to online business and social interaction. The worldwide imposed travel bans and national lockdown prevented social gatherings, making learning institutions and businesses to adopt an online platform for learning and business transactions. This development led to the incorporation of video conferencing into daily activities. This data article presents broadband data usage measurement collected using Glasswire software on various conference calls made between July and August. The services considered in this work are Google Meet, Zoom, Mixir, and Hangout. The data were recorded in Microsoft Excel 2016, running on a personal computer. The data was cleaned and processed using google colaboratory, which runs Python scripts on the browser. Exploratory data analysis is conducted on the data set using linear regression to model a predictive model to assess the best performance model that offers the best quality of service for online video and voice conferencing. The data is necessary to learning institutions using online programs and to learners accessing online programs in a smart city and developing countries. The data is presented in tables and graphs
This data article presents broadband data usage measurement collected using Glasswire software on various conference calls made between July and August. The services considered in this work are Google Meet, Zoom, Mixir, and Hangout
Data was collected using GlassWire version 2.2.241 software (https://www.glasswire.com/)
Instruction on Data intepretation
Each data point in the dataset describes a single online meeting. The data fields include:
•Participant Video on - Whether the participant in observation had his/her video on
•Participant Mic on - Whether the participant's microphone was active
•Participant Screen Share - Whether the participants share their screens.
•Others Video on - Whether participants in the call (excluding the one in observation) had their videos on
•Others Screen Share - Whether other participants shared their screen
•Window Minimized - Whether the application window was minimized
•Group - Whether the call was a group conference call
•Download - Total downloaded bytes (Megabytes) in the duration of the meeting.
•Upload - Total upload bytes (Megabytes) in the duration of the meeting.
•Total - Total bytes (Megabytes) transferred
Dataset Files
- Distribution of cleaned and filtered Data dummy_coded.csv (6.53 kB)
- Descriptive Correlation of Linear Regression feature_correlation.csv (10.66 kB)
- Dataset online_meetings_v1.csv (8.34 kB)
- Predictive Modelling Script online_meetings_notebook.py (6.54 kB)
Documentation
| Attachment | Size |
|---|---|
 Read-me Instruction on Data Use | 1.16 KB |
