What to Do With All Those Open-Ended Responses? Data Visualization Techniques for Survey Researchers

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.

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Representing the Self Through the Visualization of Personal Data

International Journal of Creative Interfaces and Computer Graphics ◽

10.4018/ijcicg.2021010101 ◽

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.

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Visualization of Big Data Sets Using Computer Graphics

Advances in Data Mining and Database Management - Handbook of Research on Big Data Storage and Visualization Techniques ◽

10.4018/978-1-5225-3142-5.ch020 ◽

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.

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Visualizing Sixteen Years of Data About Portuguese Leisure-Cultural Activities

International Journal of Creative Interfaces and Computer Graphics ◽

10.4018/jcicg.2012070102 ◽

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.

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