Vachanamrut Visualization

2021 ◽  
pp. 139-157
Author(s):  
Chintan M. Bhatt ◽  
Bhishm Daslaniya ◽  
Ghanshyam Patel ◽  
Divyesh Patel
Keyword(s):  
Data Visualization ◽  
Main Idea ◽  
Graphical Interface ◽  
Ancient Text ◽  
Visualization Techniques ◽  
The Mind ◽  
Gujarati Language

The authors discuss their interaction with data using various data visualization techniques, which are a quick, easy way to convey concepts universally. Currently, data has become more and more important; it is also important how one can visualize that data in the mind. This chapter is based on extracting important information from one of the holy Swaminarayan scriptures. The authors explore the content of the Vachanamrut, a unique work of prose in the Gujarati language, which contains discourses of Lord Swaminarayan and his conversation with saints and devotees. They convert the data in graphical interface using some libraries of the R tool. So, one can get the main idea of that data quickly, without a need to explain more about that data. Summing it up, this chapter examines the techniques of describing data of any ancient scripture or ancient text in any language by visualizing that data.

scholarly journals Combining Text Mining and Data Visualization Techniques to Understand Consumer Experiences of Electronic Cigarettes and Hookah in Online Forums

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Annie T. Chen ◽  
Shu-Hong Zhu ◽  
Mike Conway
Keyword(s):  
Text Mining ◽  
Data Visualization ◽  
Electronic Cigarettes ◽  
Discussion Forums ◽  
Online Forums ◽  
Textual Data ◽  
Consumer Experiences ◽  
Visualization Techniques

Our aim in this work is to apply text mining and novel visualization techniques to textual data derived from online health discussion forums in order to better understand consumers experiences and perceptions of electronic cigarettes and hookah.

Representing the Self Through the Visualization of Personal Data

2021 ◽  
Vol 12 (1) ◽  
pp. 1-12
Author(s):  
Catarina Sampaio ◽  
Luísa Ribas
Keyword(s):  
Digital Media ◽  
Data Visualization ◽  
Personal Data ◽  
Physical Reality ◽  
Digital Footprint ◽  
Identity Based ◽  
The Common ◽  
Project Data ◽  
Visualization Techniques

The representation of identity in digital media does not necessarily have to be conceived on the basis of criteria that mimic physical reality. This article presents a model for representing individual identity, based on the recording of human experience in the form of personal data, as an alternative to the common forms of mimetic portraiture. As such, the authors developed the project Data Self-Portrait that aims to explore the creative possibilities associated with the concept of data portrait. It can be described as a means of representing and expressing identity through the application of data visualization techniques to the domain of portraiture, according to an exploratory design approach, based on visualizing the digital footprint. It thus seeks to develop design proposals for representing identity that respond to the growing dematerialization of human activities and explores the representational and expressive role of data visualization, according to a creative use of computational technologies.

Visualization of Big Data Sets Using Computer Graphics

2018 ◽  
pp. 578-603
Author(s):  
Anna Ursyn ◽  
Edoardo L'Astorina
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Visual Analysis ◽  
Data Sets ◽  
Arrival Times ◽  
Learning And Teaching ◽  
Knowledge Domains ◽  
Visualization Of Data ◽  
And Mathematics ◽  
Visualization Techniques

This chapter discusses some possible ways of how professionals, researchers and users representing various knowledge domains are collecting and visualizing big data sets. First it describes communication through senses as a basis for visualization techniques, computational solutions for enhancing senses and ways of enhancing senses by technology. The next part discusses ideas behind visualization of data sets and ponders what is and what not visualization is. Further discussion relates to data visualization through art as visual solutions of science and mathematics related problems, documentation objects and events, and a testimony to thoughts, knowledge and meaning. Learning and teaching through data visualization is the concluding theme of the chapter. Edoardo L'Astorina provides visual analysis of best practices in visualization: An overlay of Google Maps that showed all the arrival times - in real time - of all the buses in your area based on your location and visual representation of all the Tweets in the world about TfL (Transport for London) tube lines to predict disruptions.

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.

Availability Estimation of Demand Buses as Human Transportation System, Using Self-Organizing Map

2011 ◽  
Vol 2 (3) ◽  
pp. 49-60
Author(s):  
Toyohide Watanabe ◽  
Kentaro Uesugi
Keyword(s):  
Cost Management ◽  
Main Idea ◽  
Transportation System ◽  
Self Organizing Map ◽  
Trade Off ◽  
Alternative Transportation ◽  
Visualization Techniques ◽  
Self Organizing

The demand bus is a new transportation means, which is timely planned and runs order by order in accordance with independent requests of individual customers. Demand buses are alternative transportation vehicles, replacing traditional routing-oriented buses. In this paper, the authors address the characteristic issues, attend to the practical operations, and estimate and evaluate the trade-off strategies between usage convenience and cost management. The main idea, which is established from the features among parameters interpretatively, is to make use of visualization techniques and apply a self-organizing map (SOM) to this visualization. The authors display the co-related classification results computed individually from several selected parameters to keep their meaningful correspondence.

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