scholarly journals End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence

2018 ◽  
Vol 9 (3) ◽  
pp. 383-395 ◽  
Author(s):  
Jianlong Zhou ◽  
Syed Z. Arshad ◽  
Xiuying Wang ◽  
Zhidong Li ◽  
Dagan Feng ◽  
...  
Keyword(s):  
Data Analytics ◽  
End User ◽  
Interactive Data

Visualizing Sixteen Years of Data About Portuguese Leisure-Cultural Activities

2012 ◽  
Vol 3 (2) ◽  
pp. 8-22
Author(s):  
Clarissa Rodrigues ◽  
Elizabeth Carvalho
Keyword(s):  
Data Visualization ◽  
Visual Cues ◽  
Leisure Time ◽  
Visual Representations ◽  
End User ◽  
Cultural Activities ◽  
Interactive Data ◽  
Visualization Techniques ◽  
Visualization Application

This paper describes an interactive data visualization application that aims to show how the Portuguese people spent culturally their leisure time between 1994 and 2009. The leisure trend is displayed to the end-user through the use of different visualization techniques and visual cues. The authors developed the visual representations based on the use of simple and regular visual shapes that could be easily combined, interpreted, memorized and used. To better evaluate their results, the authors tested their prototype against a preselected group of subjects.

scholarly journals Airport Trends Analytics Engine using the ARIMA Model

2018 ◽  
Vol 7 (3.12) ◽  
pp. 239
Author(s):  
Chitransh Rajesh ◽  
Yash Jain ◽  
J Jayapradha
Keyword(s):  
Data Analytics ◽  
Arima Model ◽  
Interactive Visualization ◽  
Database Management System ◽  
Data Sets ◽  
Arima Models ◽  
End User ◽  
Report Generation ◽  
Efficient Data ◽  
Visualization Of Data

Data Analytics is the process of analyzing unprocessed data to draw conclusions by studying and inspecting various patterns in the data. Several algorithms and conceptual methods are often followed to derive legit and accurate results. Efficient data handling is important for interactive visualization of data sets. Considering recent researches and analytical theories on column-oriented Database Management System, we are developing a new data engine using R and Tableau to predict airport trends. The engine uses Univariate datasets (Example, Perth Airport Passenger Movement Dataset, and Newark Airport Cargo Stats Dataset) to analyze and predict accurate trends. Data analyzing and prediction is done with the implementation of Time Series Analysis and respective ARIMA Models for respective modules. Development of modules is done using RStudio whereas Tableau is used for interactive visualization and end-user report generation. The Airport Trends Analytics Engine is an integral part of R and Tableau 10.4 and is optimized for use on desktop and server environments.  

scholarly journals Interactive Data Analytics for the Humanities

2018 ◽  
pp. 527-549 ◽  
Author(s):  
Iryna Gurevych ◽  
Christian M. Meyer ◽  
Carsten Binnig ◽  
Johannes Fürnkranz ◽  
Kristian Kersting ◽  
...  
Keyword(s):  
Data Analytics ◽  
Interactive Data

Survey and Analysis of Current End-user Data Analytics Tool Support

2019 ◽  
pp. 1-1
Author(s):  
Hourieh Khalajzadeh ◽  
Mohamed Abdelrazek ◽  
John Grundy ◽  
John G. Hosking ◽  
Qiang He
Keyword(s):  
Data Analytics ◽  
Tool Support ◽  
End User ◽  
User Data

End-User-Oriented Tool Support for Modeling Data Analytics Requirements

2020 ◽  
Author(s):  
Hourieh Khalajzadeh ◽  
Andrew J. Simmons ◽  
Mohamed Abdelrazek ◽  
John Grundy ◽  
John Hosking ◽  
...  
Keyword(s):  
Data Analytics ◽  
Tool Support ◽  
End User ◽  
Modeling Data

A Survey of Current End-User Data Analytics Tool Support

2018 ◽  
Author(s):  
Hourieh Khalajzadeh ◽  
Mohamed Abdelrazek ◽  
John Grundy ◽  
John Hosking ◽  
Qiang He
Keyword(s):  
Data Analytics ◽  
Tool Support ◽  
End User ◽  
User Data

A Picture is Worth a Thousand Words: Using Interactive Data Visualization to Assess Fraud Risk

2021 ◽  
Author(s):  
Johan L Perols ◽  
Ann C Dzuranin
Keyword(s):  
Data Visualization ◽  
Data Analytics ◽  
Data File ◽  
Initial Evaluation ◽  
Accounting Firms ◽  
Fraud Risk ◽  
Audit Data ◽  
Interactive Data ◽  
Financial Transactions

Accounting firms are making significant investments in audit data analytics technologies to modernize their audit services and the audit profession is believed to now be on the verge of a transformation (BDO 2016; Deloitte 2016; EY 2015; Forbes Insights 2015; PwC 2015). In particular, the firms are emphasizing newer technologies such as interactive data visualization (BDO 2016; Deloitte 2016; PwC 2016) and they are increasingly expecting students to have data analytics skills (Forbes Insights 2015; PwC 2015). In this case you take on the role of Bryan, an audit senior assigned to Acme. Brian has been tasked with using interactive data visualization to gain an understanding of Acme’s sales and perform an initial evaluation of two fraud risks identified during a fraud brainstorming session.  Brian has been given a data file with over 250,000 financial transactions and five master tables that he is supposed to analyze using interactive data visualization.

Application of Data Analytics in Emerging Fields

2021 ◽  
pp. 91-110
Author(s):  
Sujaritha M. ◽  
Kavitha M. ◽  
Fenila Naomi J.
Keyword(s):  
Time Series ◽  
Logistic Regression ◽  
Data Analytics ◽  
Predictive Analytics ◽  
Information Age ◽  
Statistical Techniques ◽  
End User ◽  
Efficient Manner ◽  
New Era ◽  
Present World

Data, which is available in abundance and in accessible forms, if analyzed in an efficient manner, unfolds many patterns and promising solutions. The present world is moving from the information age to the digital age, entering a new era of analytics. Whatever the end user does is recorded and stored. The purpose of data analytics is to make the “best out of waste.” Analytics often employs advanced statistical techniques (logistic regression, multivariate regression, time series analysis, etc.) to derive meaning from data. There are essentially two kinds of analytics: 1) descriptive analytics and 2) predictive analytics. Descriptive analytics describes what has happened in the past. Predictive analytics predicts what will happen in the future.

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