Daniel Weiskopf · 2011
A rather recent trend in visualization is to combine traditional scientific visualization methods (such as volume rendering) with information and statistical visualization techniques (such as scatterplots). This combination of techniques is particularly useful for multi-variate data defined on spatial grids because the spatial relationships and the characteristics of the data attributes can be shown simultaneously. However, statistical and information visualization methods for multi-variate data, such as scatterplots and parallel-coordinates plots, have traditionally been applied to intrinsically discrete data points and, therefore, treat data as a collection of independent data samples. In contrast, this talk advocates the use of continuous data models for statistical visualization applied to continuous data. Main advantages are that visual artifacts from data sampling are avoided and that the visualization process becomes scalable with respect to data set size. Biography: Daniel Weiskopf received the Diplom (MSc) degree in physics and the PhD degree in physics, both from Eberhard-KarlsUniversitat Tubingen, Germany, and he received the Habilitation degree in computer science at Universitat Stuttgart, Germany. From 2005 to 2007, Dr. Weiskopf was an assistant professor of computing science at Simon Fraser University, Canada. Since 2007, he has been a professor of computer science at the Visualization Research Center, Universitat Stuttgart (VISUS) and at the Visualization and Interactive Systems Institute (VIS), Universitat Stuttgart. His research interests include visualization, visual analytics, GPU methods, real-time computer graphics, ubiquitous visualization, perception-oriented computer graphics, and special and general relativity. He is member of ACM SIGGRAPH, the Gesellschaft fur Informatik, and the IEEE Computer Society.
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Colleen Bell · 2014
Tools, tips, and resources on creating visual representations of data, including infographics, charts and graphs, and more.
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Mohamad Dahalan, Noor Magdelina · UTPedia (Universiti Teknologi Petronas) · 2008
Thevisualization system considers financial people's needs and approaches alternative wayto understand financial data. This is oneof the processes of analyzing and converting data from two different modalities into graphics. This allows financial decision makers andfinancial analyst to gaininsight intothe data, drawconclusions and directly interact with the data. The purpose of this project is to develop visualization for financial instruments - equity and to researchthe effectiveness of financial visualization for financial trader andinvestors. Tomake sure financial visualization for equities will work, this project will focus first in otherelement from finance whichis share price. Thereasonto choose share price is because share price is one of important financial elements in financial market. This visualizationsystemdeals with two modalities of information; numerical and textual. Financial trader or investor make his/her decision based onthe behaviour of equities or share price overa certain period of time and consults other sources of information directly or indirectly with theinstruments. These sources include internal factor of certain industry or economies and about the sectorand wider issues that may affect on the instrument which equities.
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Lou Weijin, Fansheng Kong, Cao Yong-sheng · 2002
The paper implements the data visualization and knowledge visualization with color, shape, graphics, et al., in the framework of the distributed knowledge discovery system CGRKD, which was developed based on the characteristics of Crop Germplasm Resource Database, namely, large volume, high dimension, complicated relations, uncertain and incomplete concept.
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Lau, Jie Ting · DR-NTU (Nanyang Technological University) · 2014
Information visualization is a graphical representation of abstract data to reinforce human cognition. Such powerful tools is especially important in today’s world especially when email users tend to accumulate extensive email repositories. These email data contains valuable personal communication and relationship patterns that are difficult to discover through standard email interface. \n \nThis project presents a visualization that portrays relationship using email archives. Visualization techniques such as stacked graph and theme river are employed to show the temporal rhythms of interactions with individual. The user will have an overview of their email habits and relationship developed over a period of time. They will also be able to reminisce the tide and turn of their relationships over time. \n \nThis result is an eye-catching visualization, which can be handled effortlessly by user and provide user with the ability to reflect their past and construct stories for sharing.
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Angela Zoss · 2012
This LibGuide collects resources and tutorials related to data visualization. It is a companion to the visualization services provided by Data and Visualization Services at Duke University Libraries. This is a gallery of common data visualization types that are general enough for many data sources.
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Lisa Federer · 2015
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Гарачковський, Олександр Ігорович · Borys Grinchenko Kyiv University Institutional repository (Borys Grinchenko Kyiv University) · 2020
Робоча програма навчальної дисципліни «Візуалізація медіа-контенту: Візуалізація даних» є нормативним документом Київського університету імені Бориса Грінченка, який розроблено кафедрою журналістики та нових медіана основі освітньо-професійної програми підготовки магістрів відповідно до навчального плану для спеціальності 061«Журналістика»(освітньої програми «Журналістика») денної форми навчання.
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Wendy Mann · 2016
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Sivagamasundari. · DR-NTU (Nanyang Technological University) · 2013
Information Visualisation is an exciting field of information technology. It has applications in various fields and areas of our daily lives and scientific research. Static information visualisations and interactive ones serve different purposes and audiences. This project aims to explore what information visualisation is, specific methods of visualisation and its applications. It will also explore some methods of measuring how effective an instance of information visualisation is to its users. The date this project focuses on is on data from movies. An interactive visualisation is made using Tableau and is evaluated against some of these measures of effectiveness. Further suggestions are made and the project is concluded.
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Norma Banas, I.H. Wills · Academic Therapy · 1968
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Serena Pollastri · The Bloomsbury Encyclopedia of Design · 2016
A visualization is an artifact, or sometimes just a mental image, that translates information, which by itself is not directly observable, into a representation that facilitates the understanding of such information. This is done through the use of visual language, a type of language that is able to
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Gabriele Morra · Lecture notes in earth system sciences · 2017
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Jesse Feiler · Elsevier eBooks · 2002
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Machine Learning · 2021
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Gregory J. Ward · Lighting Design + Application · 1990
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Johannes Singer · OSF Preprints (OSF Preprints)
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Ruohan Gao · Figshare · 2020
This is a figure using the randomly generated 1000 data points as x axis and its linear transformation as its y axis. The result if a linear function.
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Ali, Asif · Figshare · 2020
Derived TPM expression of Pfam protein domains and GO terms for each transcriptome. Qualitative and quantitative comparison across species.
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Brandão, Christian · Figshare · 2024
Contains all scripts needed to generate the graph presented in the article, as well as the graphs for alternative models. This folder also contains the graphs in PNG format and the CSV files used to generate them.
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