Speak-up analytics: a voice activation system for data analytics / Mohammad Nasir Abdullah ... [et al.]

Abdullah, Mohammad Nasir and Mohamed Ariff, Mohamed Imran and Md Jelas, Imran and Arsad, Roslah (2022) Speak-up analytics: a voice activation system for data analytics / Mohammad Nasir Abdullah ... [et al.]. In: UNSPECIFIED.

Abstract

Speak-up analytics was developed by using R programming under R-Studio. This project proposed a simple interactive web base system to help users to do better performance in data analysis. This system allows any users to do data analytics without any hand gestures, but they just speak up and tell the machine to do the analytics. Some basic functions were developed in this system, such as sorting, arrange, filtering, grouping, counting and basic plotting. With Speak-up Analytics, the users only need to give instructions to the machine, and the machine will execute it to perform the analysis. For example, for arranging year descending, the machine will pick up the word, and arrange the year by descending order. The goal of this project is to manipulate the data using voice-activated commands. The list of commands used to instruct this system to manipulate tables dan data is sort, table remove, group by, filter and arrange. For plotting, this project has also successfully applied voice activation command to plot several graphs such as histogram and scatter diagram. This system will benefit non-analytic person to screen and handle data without prior knowledge in programming and query language.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Abdullah, Mohammad Nasir
UNSPECIFIED
Mohamed Ariff, Mohamed Imran
UNSPECIFIED
Md Jelas, Imran
UNSPECIFIED
Arsad, Roslah
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Chief Editor
Wan Ismail, Wan Nurul Fatihah
UNSPECIFIED
Editor
Mohd Fuat, Nor Hazirah
UNSPECIFIED
Editor
J Z Nun Ramlan, Noor Fazzrienee
UNSPECIFIED
Editor
Anuar, Nuramira
UNSPECIFIED
Editor
Abdullah, Shazila
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analytic mechanics
Divisions: Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Academy Of Language Studies (APB)
Journal or Publication Title: The 11th International Invention, Innovation & Design Exhibition 2022 (INDES 2022)
Page Range: pp. 230-232
Keywords: Speak-Up; Data Analytics; RStudio; Shiny
Date: 2022
URI: https://ir.uitm.edu.my/id/eprint/112427
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