Abstract
The purpose of this study is to describe the usage of textual-based visualization methods as an alternative method in qualitative researches and especially in content analysis process. Qualitative researches –like social media analysis, linguistic or communicational studies that statistical methods can not be applied directly- necessitate usage of special techniques to determine patterns and structures. Textual based visualization techniques allows researcher to analyze the unstructured corpus, explore the inner relations and thus provide meaning to these texts. Decoding this structure can be achieved with content analysis method, and findings can be represented by using matrices or diagrams. However, cases of multidimensional data requires advanced visualization techniques. Data visualisation is graphical edition and common product of the fields of statistics, information technologies, broadcasting and visual communication design. Data of the qualitative research findings about determining the effectiveness and further user expectations of Kastamonu University Kuzeykent Campus wayfinding system were used for analysis and visualization. The assessments of 20 participants are collected by using a semi-structured interview form developed by the researcher. The findings have been subjected to content analysis and displayed with matrice table. These process steps were repeated with three different web-based/online visualization tool.
Highlights
Data visualization is regulating the numerical or verbal data with graphical representation methods such as charts, maps, graphs, diagrams and tables
“When content is illustrated with pictures or figures, the information can be maintained in the mind of the viewer over a period of time” (Fountas and Pinnell, 2001). Arrangements such as timelines, Venn diagram, periodic table; are the best-known examples of data visualization.“Many useful graphical displays result from application of multidimensional statistical analysis techniques such as factor analysis and clustering” (Zinovyev, 2011)
Descriptive research data gathered during 20142015 Fall-Winter Semester are evaluated with content analysis, and organized with application of visualization methods
Summary
Data visualization is regulating the numerical or verbal data with graphical representation methods such as charts, maps, graphs, diagrams and tables. “When content is illustrated with pictures or figures, the information can be maintained in the mind of the viewer over a period of time” (Fountas and Pinnell, 2001). Arrangements such as timelines, Venn diagram, periodic table; are the best-known examples of data visualization.“Many useful graphical displays result from application of multidimensional statistical analysis techniques such as factor analysis (including principal components analysis) and clustering” (Zinovyev, 2011). In addition to the direct involvement of the user, the main advantages of visual data exploration over automatic data mining techniques from statistics or machine learning are:
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Online Journal of Communication and Media Technologies
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
