https://infovis-wiki.net/w/api.php?action=feedcontributions&feedformat=atom&user=UE-InfoVis08-07 2026-05-22T20:15:25Z User contributions MediaWiki 1.45.3 https://infovis-wiki.net/w/index.php?title=Applying_Animation_to_the_Visual_Analysis_of_Financial_Time-Dependent_Data&diff=19369 2008-05-08T22:33:28Z

<p>UE-InfoVis08-07: final cleanup...</p> <hr /> <div>== Authors ==<br /> *[[Tekušová, Tatiana | Tatiana Tekušová]]<br /> *[[Kohlhammer, Jörn | Jörn Kohlhammer]]<br /> <br /> == Short description ==<br /> {{Quotation|For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed increases rapidly and requirements on quality of financial analysis rise, the demand for analysis support systems grows. We present a system for the visual analysis of large amounts of time-dependent data using animation. For each data entity, indicators are presented in a scatter-plot framework, displaying the correlation between them. The design of the glyphs illustrates additional data dimensions. The system uses animation to handle the time-dimension of the data. It offers various features, such as focus, zoom, details on demand and time period selection to support the analysis. Financial indicators are used to demonstrate the usability of the system. The animation proves to be a powerful tool for analysing time-dependent processes in cross-sectional data sets and discovering patterns in the data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Figures ==<br /> [[Image:Tekusova_kohlhammer_fig1.jpg]]&lt;br&gt;<br /> The figure shows the relationship between return and volatility for some example asset categories. It is usual that riskier assets can mean higher returns and vice versa. {{Quotation|The relationship between volatility and return over time is at the centre of the investors' atteintion.| [Tekusova and Kohlhammer, 2007]}}&lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig2.jpg]]&lt;br&gt;<br /> The FinMotion userinterface is divided into two areas:<br /> * Main visualisation window<br /> * Interaction panel<br /> The window contains five panes as it can be seen on the picture. <br /> * Pane 1: &quot;Scatter plot view&quot;: Is used for viewing scatter plots which are very important for the analysis. The interaction panel consists of tools to manipulate the scatter plot view.<br /> * Pane 2: &quot;Data&quot;: Provides tools to manipulate data and get data descriptions.<br /> * Pane 3: &quot;Data selection&quot;: Provides features for selecting data.<br /> * Pane 4: &quot;View settings&quot;: Provides more features for data visualization and manipulation.<br /> * Pane 5: &quot;Animation&quot;: Provides tools for manipulationg motion features.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig3.jpg]]&lt;br&gt;<br /> Negativ values in the scatter plot are represented as unfilled rectangles. The size of the rectangle represants the absolute value of the data point. <br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig4.jpg]]&lt;br&gt;<br /> The animation of data points can be a very powerful tool but it hides the history. Therefore users can choose to show trajectory paths during animation.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig5.jpg]]&lt;br&gt;<br /> Focus and Zoom: Users can define &quot;target stocks&quot;. Selected data items keep their original colour and other items are coloured in grey. This gives the users the possibility to concentrate on interesting data. This feature is also very useful because of the overlapping glyphs problem.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig6.jpg]]&lt;br&gt;<br /> This picture shows the &quot;Details on Demand&quot; feature of FinMotion.<br /> {{Quotation|As users may wish more information on visualised data, a legend and further information on demand are provided.| [Tekusova and Kohlhammer, 2007]}}<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig7.jpg]]&lt;br&gt;<br /> The legend text placement was a major challenge. The legend text can be places somewhere around the glyph in the grey area. The algorithm the authors used works fine, but it is impossible to overcome the overlapping legend problem completely.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> == Important citations ==<br /> {{Quotation| The usability study showed that the animation can reveal new unexpected patterns in the data which cannot be perceived in a static analysis of correlation. Furthermore, animated data visualization better reflects real market movements. | [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation| The human perception plays an important role in the design of visualisation systems. These systems try to make use of the laws of human perception in order to maximize the results of visual queries that are made in the course of system usage.| [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation|As stated in [23], the “most promising uses of animation seem to be to convey realtime changes and reorientations in time and space. “ Animation is therefore evidently well suited for the visualizations of time-dependent data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Data types ==<br /> FinMotion is suitable for daily stock market data or any other kind of financial data with temporal information.<br /> <br /> == Evaluation ==<br /> A usability survey has been carried out and the feedback was very positive. The software has shown an incredible ease of use and the animation feature was also very positively ranked. Some new features have been added upon request.<br /> <br /> == References ==<br /> * [Tekusova and Kohlhammer, 2007] [http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968 Applying Animation to the Visual Analysis of Financial Time-Dependent Data]<br /> * [Tekusova and Kohlhammer, 2007] [http://portal.acm.org/citation.cfm?id=1345448.1345454&amp;coll=&amp;dl=ACM&amp;idx=J721&amp;part=newsletter&amp;WantType=Newsletters&amp;title=ACM%20SIGKDD%20Explorations%20Newsletter Trajectory-based visual analysis of large financial time series data]]<br /> <br /> == Evaluation Reference ==<br /> * [Tekusova and Kohlhammer, 2007] [http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968 Applying Animation to the Visual Analysis of Financial Time-Dependent Data]<br /> <br /> [[category: techniques]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Applying_Animation_to_the_Visual_Analysis_of_Financial_Time-Dependent_Data&diff=19368 2008-05-08T22:24:39Z

<p>UE-InfoVis08-07: pardon me, cleanup</p> <hr /> <div>== Authors ==<br /> *[[Tekušová, Tatiana | Tatiana Tekušová]]<br /> *[[Kohlhammer, Jörn | Jörn Kohlhammer]]<br /> <br /> == Short description ==<br /> {{Quotation|For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed increases rapidly and requirements on quality of financial analysis rise, the demand for analysis support systems grows. We present a system for the visual analysis of large amounts of time-dependent data using animation. For each data entity, indicators are presented in a scatter-plot framework, displaying the correlation between them. The design of the glyphs illustrates additional data dimensions. The system uses animation to handle the time-dimension of the data. It offers various features, such as focus, zoom, details on demand and time period selection to support the analysis. Financial indicators are used to demonstrate the usability of the system. The animation proves to be a powerful tool for analysing time-dependent processes in cross-sectional data sets and discovering patterns in the data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Figures ==<br /> [[Image:Tekusova_kohlhammer_fig1.jpg]]&lt;br&gt;<br /> The figure shows the relationship between return and volatility for some example asset categories. It is usual that riskier assets can mean higher returns and vice versa. {{Quotation|The relationship between volatility and return over time is at the centre of the investors' atteintion.| [Tekusova and Kohlhammer, 2007]}}&lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig2.jpg]]&lt;br&gt;<br /> The FinMotion userinterface is divided into two areas:<br /> * Main visualisation window<br /> * Interaction panel<br /> The window contains five panes as it can be seen on the picture. <br /> * Pane 1: &quot;Scatter plot view&quot;: Is used for viewing scatter plots which are very important for the analysis. The interaction panel consists of tools to manipulate the scatter plot view.<br /> * Pane 2: &quot;Data&quot;: Provides tools to manipulate data and get data descriptions.<br /> * Pane 3: &quot;Data selection&quot;: Provides features for selecting data.<br /> * Pane 4: &quot;View settings&quot;: Provides more features for data visualization and manipulation.<br /> * Pane 5: &quot;Animation&quot;: Provides tools for manipulationg motion features.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig3.jpg]]&lt;br&gt;<br /> Negativ values in the scatter plot are represented as unfilled rectangles. The size of the rectangle represants the absolute value of the data point. <br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig4.jpg]]&lt;br&gt;<br /> The animation of data points can be a very powerful tool but it hides the history. Therefore users can choose to show trajectory paths during animation.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig5.jpg]]&lt;br&gt;<br /> Focus and Zoom: Users can define &quot;target stocks&quot;. Selected data items keep their original colour and other items are coloured in grey. This gives the users the possibility to concentrate on interesting data. This feature is also very useful because of the overlapping glyphs problem.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig6.jpg]]&lt;br&gt;<br /> This picture shows the &quot;Details on Demand&quot; feature of FinMotion.<br /> {{Quotation|As users may wish more information on visualised data, a legend and further information on demand are provided.| [Tekusova and Kohlhammer, 2007]}}<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig7.jpg]]&lt;br&gt;<br /> The legend text placement was a major challenge. The legend text can be places somewhere around the glyph in the grey area. The algorithm the authors used works fine, but it is impossible to overcome the overlapping legend problem completely.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> == Important citations ==<br /> {{Quotation| The usability study showed that the animation can reveal new unexpected patterns in the data which cannot be perceived in a static analysis of correlation. Furthermore, animated data visualization better reflects real market movements. | [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation| The human perception plays an important role in the design of visualisation systems. These systems try to make use of the laws of human perception in order to maximize the results of visual queries that are made in the course of system usage.| [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation|As stated in [23], the “most promising uses of animation seem to be to convey realtime changes and reorientations in time and space. “ Animation is therefore evidently well suited for the visualizations of time-dependent data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Data types ==<br /> FinMotion is suitable for daily stock market data or any other kind of financial data with temporal information.<br /> <br /> == Evaluation ==<br /> A usability survey has been carried out and the feedback was very positive. The software has shown an incredible ease of use and the animation feature was also very positively ranked. Some new features have been added upon request.<br /> <br /> == References ==<br /> # [http://portal.acm.org/citation.cfm?id=1270398.1271580&amp;coll=GUIDE&amp;dl=GUIDE Tekusova and Kohlhammer, 2007: This paper on ACM]]<br /> # [http://portal.acm.org/citation.cfm?id=1345448.1345454&amp;coll=&amp;dl=ACM&amp;idx=J721&amp;part=newsletter&amp;WantType=Newsletters&amp;title=ACM%20SIGKDD%20Explorations%20Newsletter Tekusova and Kohlhammer, 2007: Trajectory-based visual analysis of large financial time series data]]<br /> <br /> [[category: techniques]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Applying_Animation_to_the_Visual_Analysis_of_Financial_Time-Dependent_Data&diff=19367 2008-05-08T22:19:24Z

<p>UE-InfoVis08-07: added 2 references, good night</p> <hr /> <div>== Authors ==<br /> *[[Tekušová, Tatiana | Tatiana Tekušová]]<br /> *[[Kohlhammer, Jörn | Jörn Kohlhammer]]<br /> <br /> == Abstract ==<br /> {{Quotation|For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed increases rapidly and requirements on quality of financial analysis rise, the demand for analysis support systems grows. We present a system for the visual analysis of large amounts of time-dependent data using animation. For each data entity, indicators are presented in a scatter-plot framework, displaying the correlation between them. The design of the glyphs illustrates additional data dimensions. The system uses animation to handle the time-dimension of the data. It offers various features, such as focus, zoom, details on demand and time period selection to support the analysis. Financial indicators are used to demonstrate the usability of the system. The animation proves to be a powerful tool for analysing time-dependent processes in cross-sectional data sets and discovering patterns in the data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Figures ==<br /> [[Image:Tekusova_kohlhammer_fig1.jpg]]&lt;br&gt;<br /> The figure shows the relationship between return and volatility for some example asset categories. It is usual that riskier assets can mean higher returns and vice versa. {{Quotation|The relationship between volatility and return over time is at the centre of the investors' atteintion.| [Tekusova and Kohlhammer, 2007]}}&lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig2.jpg]]&lt;br&gt;<br /> The FinMotion userinterface is divided into two areas:<br /> * Main visualisation window<br /> * Interaction panel<br /> The window contains five panes as it can be seen on the picture. <br /> * Pane 1: &quot;Scatter plot view&quot;: Is used for viewing scatter plots which are very important for the analysis. The interaction panel consists of tools to manipulate the scatter plot view.<br /> * Pane 2: &quot;Data&quot;: Provides tools to manipulate data and get data descriptions.<br /> * Pane 3: &quot;Data selection&quot;: Provides features for selecting data.<br /> * Pane 4: &quot;View settings&quot;: Provides more features for data visualization and manipulation.<br /> * Pane 5: &quot;Animation&quot;: Provides tools for manipulationg motion features.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig3.jpg]]&lt;br&gt;<br /> Negativ values in the scatter plot are represented as unfilled rectangles. The size of the rectangle represants the absolute value of the data point. <br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig4.jpg]]&lt;br&gt;<br /> The animation of data points can be a very powerful tool but it hides the history. Therefore users can choose to show trajectory paths during animation.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig5.jpg]]&lt;br&gt;<br /> Focus and Zoom: Users can define &quot;target stocks&quot;. Selected data items keep their original colour and other items are coloured in grey. This gives the users the possibility to concentrate on interesting data. This feature is also very useful because of the overlapping glyphs problem.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig6.jpg]]&lt;br&gt;<br /> This picture shows the &quot;Details on Demand&quot; feature of FinMotion.<br /> {{Quotation|As users may wish more information on visualised data, a legend and further information on demand are provided.| [Tekusova and Kohlhammer, 2007]}}<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig7.jpg]]&lt;br&gt;<br /> The legend text placement was a major challenge. The legend text can be places somewhere around the glyph in the grey area. The algorithm the authors used works fine, but it is impossible to overcome the overlapping legend problem completely.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> == Important citations ==<br /> {{Quotation| The usability study showed that the animation can reveal new unexpected patterns in the data which cannot be perceived in a static analysis of correlation. Furthermore, animated data visualization better reflects real market movements. | [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation| The human perception plays an important role in the design of visualisation systems. These systems try to make use of the laws of human perception in order to maximize the results of visual queries that are made in the course of system usage.| [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation|As stated in [23], the “most promising uses of animation seem to be to convey realtime changes and reorientations in time and space. “ Animation is therefore evidently well suited for the visualizations of time-dependent data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Data types ==<br /> FinMotion is suitable for daily stock market data or any other kind of financial data with temporal information.<br /> <br /> == Evaluation ==<br /> A usability survey has been carried out and the feedback was very positive. The software has shown an incredible ease of use and the animation feature was also very positively ranked. Some new features have been added upon request.<br /> <br /> == References ==<br /> # [http://portal.acm.org/citation.cfm?id=1270398.1271580&amp;coll=GUIDE&amp;dl=GUIDE Tekusova and Kohlhammer, 2007: This paper on ACM]]<br /> # [http://portal.acm.org/citation.cfm?id=1345448.1345454&amp;coll=&amp;dl=ACM&amp;idx=J721&amp;part=newsletter&amp;WantType=Newsletters&amp;title=ACM%20SIGKDD%20Explorations%20Newsletter Tekusova and Kohlhammer, 2007: Trajectory-based visual analysis of large financial time series data]]<br /> <br /> [[category: techniques]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Applying_Animation_to_the_Visual_Analysis_of_Financial_Time-Dependent_Data&diff=19358 2008-05-08T22:04:43Z

<p>UE-InfoVis08-07: added 2 other very important citations</p> <hr /> <div>== Authors ==<br /> *[[Tekušová, Tatiana | Tatiana Tekušová]]<br /> *[[Kohlhammer, Jörn | Jörn Kohlhammer]]<br /> <br /> == Abstract ==<br /> {{Quotation|For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed increases rapidly and requirements on quality of financial analysis rise, the demand for analysis support systems grows. We present a system for the visual analysis of large amounts of time-dependent data using animation. For each data entity, indicators are presented in a scatter-plot framework, displaying the correlation between them. The design of the glyphs illustrates additional data dimensions. The system uses animation to handle the time-dimension of the data. It offers various features, such as focus, zoom, details on demand and time period selection to support the analysis. Financial indicators are used to demonstrate the usability of the system. The animation proves to be a powerful tool for analysing time-dependent processes in cross-sectional data sets and discovering patterns in the data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Figures ==<br /> [[Image:Tekusova_kohlhammer_fig1.jpg]]&lt;br&gt;<br /> The figure shows the relationship between return and volatility for some example asset categories. It is usual that riskier assets can mean higher returns and vice versa. {{Quotation|The relationship between volatility and return over time is at the centre of the investors' atteintion.| [Tekusova and Kohlhammer, 2007]}}&lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig2.jpg]]&lt;br&gt;<br /> The FinMotion userinterface is divided into two areas:<br /> * Main visualisation window<br /> * Interaction panel<br /> The window contains five panes as it can be seen on the picture. <br /> * Pane 1: &quot;Scatter plot view&quot;: Is used for viewing scatter plots which are very important for the analysis. The interaction panel consists of tools to manipulate the scatter plot view.<br /> * Pane 2: &quot;Data&quot;: Provides tools to manipulate data and get data descriptions.<br /> * Pane 3: &quot;Data selection&quot;: Provides features for selecting data.<br /> * Pane 4: &quot;View settings&quot;: Provides more features for data visualization and manipulation.<br /> * Pane 5: &quot;Animation&quot;: Provides tools for manipulationg motion features.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig3.jpg]]&lt;br&gt;<br /> Negativ values in the scatter plot are represented as unfilled rectangles. The size of the rectangle represants the absolute value of the data point. <br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig4.jpg]]&lt;br&gt;<br /> The animation of data points can be a very powerful tool but it hides the history. Therefore users can choose to show trajectory paths during animation.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig5.jpg]]&lt;br&gt;<br /> Focus and Zoom: Users can define &quot;target stocks&quot;. Selected data items keep their original colour and other items are coloured in grey. This gives the users the possibility to concentrate on interesting data. This feature is also very useful because of the overlapping glyphs problem.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig6.jpg]]&lt;br&gt;<br /> This picture shows the &quot;Details on Demand&quot; feature of FinMotion.<br /> {{Quotation|As users may wish more information on visualised data, a legend and further information on demand are provided.| [Tekusova and Kohlhammer, 2007]}}<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig7.jpg]]&lt;br&gt;<br /> The legend text placement was a major challenge. The legend text can be places somewhere around the glyph in the grey area. The algorithm the authors used works fine, but it is impossible to overcome the overlapping legend problem completely.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> == Important citations ==<br /> {{Quotation| The usability study showed that the animation can reveal new unexpected patterns in the data which cannot be perceived in a static analysis of correlation. Furthermore, animated data visualization better reflects real market movements. | [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation| The human perception plays an important role in the design of visualisation systems. These systems try to make use of the laws of human perception in order to maximize the results of visual queries that are made in the course of system usage.| [Tekusova and Kohlhammer, 2007]}}<br /> {{Quotation|As stated in [23], the “most promising uses of animation seem to be to convey realtime changes and reorientations in time and space. “ Animation is therefore evidently well suited for the visualizations of time-dependent data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Data types ==<br /> FinMotion is suitable for daily stock market data or any other kind of financial data with temporal information.<br /> <br /> == Evaluation ==<br /> A usability survey has been carried out and the feedback was very positive. The software has shown an incredible ease of use and the animation feature was also very positively ranked. Some new features have been added upon request.<br /> <br /> [[category: techniques]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Applying_Animation_to_the_Visual_Analysis_of_Financial_Time-Dependent_Data&diff=19356 2008-05-08T21:59:48Z

<p>UE-InfoVis08-07: added citations, data types, evaluation</p> <hr /> <div>== Authors ==<br /> *[[Tekušová, Tatiana | Tatiana Tekušová]]<br /> *[[Kohlhammer, Jörn | Jörn Kohlhammer]]<br /> <br /> == Abstract ==<br /> {{Quotation|For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed increases rapidly and requirements on quality of financial analysis rise, the demand for analysis support systems grows. We present a system for the visual analysis of large amounts of time-dependent data using animation. For each data entity, indicators are presented in a scatter-plot framework, displaying the correlation between them. The design of the glyphs illustrates additional data dimensions. The system uses animation to handle the time-dimension of the data. It offers various features, such as focus, zoom, details on demand and time period selection to support the analysis. Financial indicators are used to demonstrate the usability of the system. The animation proves to be a powerful tool for analysing time-dependent processes in cross-sectional data sets and discovering patterns in the data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Figures ==<br /> <br /> [[Image:Tekusova_kohlhammer_fig1.jpg]]&lt;br&gt;<br /> The figure shows the relationship between return and volatility for some example asset categories. It is usual that riskier assets can mean higher returns and vice versa. {{Quotation|The relationship between volatility and return over time is at the centre of the investors' atteintion.| [Tekusova and Kohlhammer, 2007]}}&lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig2.jpg]]&lt;br&gt;<br /> The FinMotion userinterface is divided into two areas:<br /> * Main visualisation window<br /> * Interaction panel<br /> The window contains five panes as it can be seen on the picture. <br /> * Pane 1: &quot;Scatter plot view&quot;: Is used for viewing scatter plots which are very important for the analysis. The interaction panel consists of tools to manipulate the scatter plot view.<br /> * Pane 2: &quot;Data&quot;: Provides tools to manipulate data and get data descriptions.<br /> * Pane 3: &quot;Data selection&quot;: Provides features for selecting data.<br /> * Pane 4: &quot;View settings&quot;: Provides more features for data visualization and manipulation.<br /> * Pane 5: &quot;Animation&quot;: Provides tools for manipulationg motion features.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig3.jpg]]&lt;br&gt;<br /> Negativ values in the scatter plot are represented as unfilled rectangles. The size of the rectangle represants the absolute value of the data point. <br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig4.jpg]]&lt;br&gt;<br /> The animation of data points can be a very powerful tool but it hides the history. Therefore users can choose to show trajectory paths during animation.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig5.jpg]]&lt;br&gt;<br /> Focus and Zoom: Users can define &quot;target stocks&quot;. Selected data items keep their original colour and other items are coloured in grey. This gives the users the possibility to concentrate on interesting data. This feature is also very useful because of the overlapping glyphs problem.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig6.jpg]]&lt;br&gt;<br /> This picture shows the &quot;Details on Demand&quot; feature of FinMotion.<br /> {{Quotation|As users may wish more information on visualised data, a legend and further information on demand are provided.| [Tekusova and Kohlhammer, 2007]}}<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig7.jpg]]&lt;br&gt;<br /> The legend text placement was a major challenge. The legend text can be places somewhere around the glyph in the grey area. The algorithm the authors used works fine, but it is impossible to overcome the overlapping legend problem completely.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> == Important citations ==<br /> {{Quotation| The usability study showed that the animation can reveal new unexpected patterns in the data which cannot be perceived in a static analysis of correlation. Furthermore, animated data visualization better reflects real market movements. | [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Data types ==<br /> FinMotion is suitable for daily stock market data or any other kind of financial data with temporal information.<br /> <br /> == Evaluation ==<br /> A usability survey has been carried out and the feedback was very positive. The software has shown an incredible ease of use and the animation feature was also very positively ranked. Some new features have been added upon request.<br /> <br /> [[category: techniques]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Applying_Animation_to_the_Visual_Analysis_of_Financial_Time-Dependent_Data&diff=19351 2008-05-08T21:27:02Z

<p>UE-InfoVis08-07: added figures</p> <hr /> <div>== Authors ==<br /> *[[Tekušová, Tatiana | Tatiana Tekušová]]<br /> *[[Kohlhammer, Jörn | Jörn Kohlhammer]]<br /> <br /> == Abstract ==<br /> {{Quotation|For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed increases rapidly and requirements on quality of financial analysis rise, the demand for analysis support systems grows. We present a system for the visual analysis of large amounts of time-dependent data using animation. For each data entity, indicators are presented in a scatter-plot framework, displaying the correlation between them. The design of the glyphs illustrates additional data dimensions. The system uses animation to handle the time-dimension of the data. It offers various features, such as focus, zoom, details on demand and time period selection to support the analysis. Financial indicators are used to demonstrate the usability of the system. The animation proves to be a powerful tool for analysing time-dependent processes in cross-sectional data sets and discovering patterns in the data.| [Tekusova and Kohlhammer, 2007]}}<br /> <br /> == Figures ==<br /> <br /> [[Image:Tekusova_kohlhammer_fig1.jpg]]&lt;br&gt;<br /> The figure shows the relationship between return and volatility for some example asset categories. It is usual that riskier assets can mean higher returns and vice versa. {{Quotation|The relationship between volatility and return over time is at the centre of the investors' atteintion.| [Tekusova and Kohlhammer, 2007]}}&lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig2.jpg]]&lt;br&gt;<br /> The FinMotion userinterface is divided into two areas:<br /> * Main visualisation window<br /> * Interaction panel<br /> The window contains five panes as it can be seen on the picture. <br /> * Pane 1: &quot;Scatter plot view&quot;: Is used for viewing scatter plots which are very important for the analysis. The interaction panel consists of tools to manipulate the scatter plot view.<br /> * Pane 2: &quot;Data&quot;: Provides tools to manipulate data and get data descriptions.<br /> * Pane 3: &quot;Data selection&quot;: Provides features for selecting data.<br /> * Pane 4: &quot;View settings&quot;: Provides more features for data visualization and manipulation.<br /> * Pane 5: &quot;Animation&quot;: Provides tools for manipulationg motion features.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig3.jpg]]&lt;br&gt;<br /> Negativ values in the scatter plot are represented as unfilled rectangles. The size of the rectangle represants the absolute value of the data point. <br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig4.jpg]]&lt;br&gt;<br /> The animation of data points can be a very powerful tool but it hides the history. Therefore users can choose to show trajectory paths during animation.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig5.jpg]]&lt;br&gt;<br /> Focus and Zoom: Users can define &quot;target stocks&quot;. Selected data items keep their original colour and other items are coloured in grey. This gives the users the possibility to concentrate on interesting data. This feature is also very useful because of the overlapping glyphs problem.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig6.jpg]]&lt;br&gt;<br /> This picture shows the &quot;Details on Demand&quot; feature of FinMotion.<br /> {{Quotation|As users may wish more information on visualised data, a legend and further information on demand are provided.| [Tekusova and Kohlhammer, 2007]}}<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> [[Image:Tekusova_kohlhammer_fig7.jpg]]&lt;br&gt;<br /> The legend text placement was a major challenge. The legend text can be places somewhere around the glyph in the grey area. The algorithm the authors used works fine, but it is impossible to overcome the overlapping legend problem completely.<br /> &lt;br&gt;&lt;br&gt;<br /> <br /> <br /> [[category: techniques]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova_kohlhammer_fig7.jpg&diff=19350 2008-05-08T20:13:41Z

<p>UE-InfoVis08-07: New page: == Summary == == Copyright status == == Source == http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova_kohlhammer_fig6.jpg&diff=19349 2008-05-08T20:13:24Z

<p>UE-InfoVis08-07: New page: == Summary == == Copyright status == == Source == http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova_kohlhammer_fig5.jpg&diff=19348 2008-05-08T20:13:09Z

<p>UE-InfoVis08-07: New page: == Summary == == Copyright status == == Source == http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova_kohlhammer_fig4.jpg&diff=19347 2008-05-08T20:12:48Z

<p>UE-InfoVis08-07: New page: == Summary == == Copyright status == == Source == http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova_kohlhammer_fig3.jpg&diff=19346 2008-05-08T20:12:30Z

<p>UE-InfoVis08-07: New page: == Summary == == Copyright status == == Source == http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova_kohlhammer_fig2.jpg&diff=19345 2008-05-08T20:12:07Z

<p>UE-InfoVis08-07: New page: == Summary == == Copyright status == == Source == http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova_kohlhammer_fig1.jpg&diff=19344 2008-05-08T20:11:25Z

<p>UE-InfoVis08-07: New page: == Summary == == Copyright status == == Source == http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4271968</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Wiki-techniques&diff=19330 2008-05-08T18:32:14Z

<p>UE-InfoVis08-07: </p> <hr /> <div>=== Conception === <br /> <br /> The concept of Wikis resembles that, of the World Wide Web. The information should be available and changeable immediately. <br /> <br /> The version-administration, that it licenses the users in the case of mistakes or vandalism to restore a former version of a side, is essentially with the most Wiki-Software, under it the MediaWiki started in the Wikipedia themselves. As with hyper-texts usually, the individual sides of a Wikis are connected through cross-references (Hyperlinks) together; the concept of the InterWiki-Links is used for the network of different Wikis. <br /> <br /> Wikises belong to the Content-Management-Systemens, puts down on the philosophy of the open access however, in the difference too partly exactly regular work-courses (workflow) of editing-systems. The changeable-ness of the sides through everyone moves an original idea of the World Wide Web for the first time consistently and still fills an essential request at social software. However is not for finished each Wiki legibly or writing-devoid of, there are also systems, the access-control for certain sides and user-groups allows. <br /> <br /> Further essential characteristic of Wiki-Software is that , it puts less value on a varied layout of the Website . <br /> <br /> Most systems are software outside, often under a version of that GNU general Public License (GPL) licenses. Many Wiki-Software systems are built modular and offer an individual programming-interface, which enables the user to write own expansions without knowing the entire source code. <br /> <br /> === Wiki-Syntax === <br /> <br /> About the text more legibly and structured to shape, there are usually sign-combinations, that assign a format-presentation to the marked text. These awards, usually English as „day “marks, is inputed in the input-window at corresponding position. For example in the Wikipedia, the input yields „a ''kursives '' word “the edition „an italic word “. <br /> <br /> The totality this of day is marked as Wiki-Syntax and differs according to used Wiki-Software. All dialects are more simply built than the historically spreads started HTML in the World Wide Web. This limitation on the essential enables a big group of people, especially also computer-laymen, to share with little learns - and writing-expenditure in this system.<br /> <br /> === External links === <br /> # http://de.wikipedia.org/wiki/Wiki</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Wiki-techniques&diff=19329 2008-05-08T18:29:13Z

<p>UE-InfoVis08-07: New page: * Conception The concept of Wikis resembles that, of the World Wide Web. The information should be available and changeable immediately. The version-administration, that it licenses...</p> <hr /> <div>* Conception <br /> <br /> The concept of Wikis resembles that, of the World Wide Web. The information should be available and changeable immediately. <br /> <br /> The version-administration, that it licenses the users in the case of mistakes or vandalism to restore a former version of a side, is essentially with the most Wiki-Software, under it the MediaWiki started in the Wikipedia themselves. As with hyper-texts usually, the individual sides of a Wikis are connected through cross-references (Hyperlinks) together; the concept of the InterWiki-Links is used for the network of different Wikis. <br /> <br /> Wikises belong to the Content-Management-Systemens, puts down on the philosophy of the open access however, in the difference too partly exactly regular work-courses (workflow) of editing-systems. The changeable-ness of the sides through everyone moves an original idea of the World Wide Web for the first time consistently and still fills an essential request at social software. However is not for finished each Wiki legibly or writing-devoid of, there are also systems, the access-control for certain sides and user-groups allows. <br /> <br /> Further essential characteristic of Wiki-Software is that , it puts less value on a varied layout of the Website . <br /> <br /> Most systems are software outside, often under a version of that GNU general Public License (GPL) licenses. Many Wiki-Software systems are built modular and offer an individual programming-interface, which enables the user to write own expansions without knowing the entire source code. <br /> <br /> * Wiki-Syntax <br /> <br /> About the text more legibly and structured to shape, there are usually sign-combinations, that assign a format-presentation to the marked text. These awards, usually English as „day “marks, is inputed in the input-window at corresponding position. For example in the Wikipedia, the input yields „a ''kursives '' word “the edition „an italic word “. <br /> <br /> The totality this of day is marked as Wiki-Syntax and differs according to used Wiki-Software. All dialects are more simply built than the historically spreads started HTML in the World Wide Web. This limitation on the essential enables a big group of people, especially also computer-laymen, to share with little learns - and writing-expenditure in this system.<br /> <br /> * References <br /> [[http://de.wikipedia.org/wiki/Wiki]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Category:Techniques&diff=19328 2008-05-08T18:07:32Z

<p>UE-InfoVis08-07: </p> <hr /> <div>[[Category:Top level]]<br /> <br /> *[[Wiki-techniques]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Kohlhammer,_J%C3%B6rn&diff=19115 2008-04-27T20:39:50Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Jörn Kohlhammer ==<br /> <br /> [[Image:Kohlhammer.jpg|thumb|Tatiana Tekusova]]<br /> <br /> <br /> Dr.-Ing. Jörn Kohlhammer studied computer science with business economics at the Ludwig-Maximilian-University in Munich, Germany from 1993 to 1999. After receiving his diploma he worked as a researcher at the Fraunhofer CRCG in Providence, RI, USA in the area of context-based information visualization from 1999 to 2003. In 2003 he relocated back to Germany to work on decision-centered visualization in the department of Graphic Information Systems at Fraunhofer IGD. He received his doctoral degree from the faculty of computer science at the technical university of Darmstadt in 2005. Since 2004 he leads the department of Realtime Solutions for Simulation and Visual Analytics. His research interests include semantics-based and decision-centered information visualization, visual business analytics, and simulation-based visualization of large amounts of data.<br /> <br /> === Affiliation: === <br /> * Fraunhofer IGD (Germany)<br /> * Technical Univ. of Darmstadt (Germany)<br /> <br /> === Subject Areas: ===<br /> * Realtime Solutions for Simulation and Visual Analytics<br /> <br /> === Collaborative Colleagues: ===<br /> * Tatiana Tekusova<br /> <br /> <br /> == External links == <br /> # http://ec.europa.eu/information_society/istevent/koln2007/cf/people-detail.cfm?id=2850<br /> # http://www.igd.fraunhofer.de/igd-a3<br /> # http://www.igd.fraunhofer.de/igd-a3/staff.phtml?id=36&amp;lang=ENGLISH <br /> # http://www.competence-site.de/cc/experten.nsf/experte/K3358-Joern-Kohlhammer<br /> <br /> <br /> === Comments: ===<br /> <br /> Semantics for Intelligent Mobility Applications<br /> - Networking Session &quot;Objective 2007.4.2 Intelligent Content and Semantics&quot;<br /> Visual Analysis of Biomedical Data<br /> - Networking Session &quot;Objective 2007.5.3 Virtual Physiological Human&quot;<br /> <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Kohlhammer,_J%C3%B6rn&diff=19114 2008-04-27T20:38:52Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Jörn Kohlhammer ==<br /> <br /> [[Image:Kohlhammer.jpg|thumb|Tatiana Tekusova]]<br /> <br /> <br /> Dr.-Ing. Jörn Kohlhammer studied computer science with business economics at the Ludwig-Maximilian-University in Munich, Germany from 1993 to 1999. After receiving his diploma he worked as a researcher at the Fraunhofer CRCG in Providence, RI, USA in the area of context-based information visualization from 1999 to 2003. In 2003 he relocated back to Germany to work on decision-centered visualization in the department of Graphic Information Systems at Fraunhofer IGD. He received his doctoral degree from the faculty of computer science at the technical university of Darmstadt in 2005. Since 2004 he leads the department of Realtime Solutions for Simulation and Visual Analytics. His research interests include semantics-based and decision-centered information visualization, visual business analytics, and simulation-based visualization of large amounts of data.<br /> <br /> === Affiliation: === <br /> * Fraunhofer IGD (Germany)<br /> * Technical Univ. of Darmstadt (Germany)<br /> <br /> === Subject Areas: ===<br /> * Realtime Solutions for Simulation and Visual Analytics<br /> <br /> === Collaborative Colleagues: ===<br /> * Dieter Fellner<br /> * Tatiana Tekusova<br /> * Tobias Schreck <br /> <br /> == External links == <br /> # http://ec.europa.eu/information_society/istevent/koln2007/cf/people-detail.cfm?id=2850<br /> # http://www.igd.fraunhofer.de/igd-a3<br /> # http://www.igd.fraunhofer.de/igd-a3/staff.phtml?id=36&amp;lang=ENGLISH <br /> # http://www.competence-site.de/cc/experten.nsf/experte/K3358-Joern-Kohlhammer<br /> <br /> <br /> === Comments: ===<br /> <br /> Semantics for Intelligent Mobility Applications<br /> Networking Session &quot;Objective 2007.4.2 Intelligent Content and Semantics&quot;<br /> Visual Analysis of Biomedical Data<br /> Networking Session &quot;Objective 2007.5.3 Virtual Physiological Human&quot;<br /> <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Kohlhammer,_J%C3%B6rn&diff=19113 2008-04-27T20:37:11Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Jörn Kohlhammer ==<br /> <br /> [[Image:Tekusova.jpg|thumb|Tatiana Tekusova]]<br /> <br /> <br /> Dr.-Ing. Jörn Kohlhammer studied computer science with business economics at the Ludwig-Maximilian-University in Munich, Germany from 1993 to 1999. After receiving his diploma he worked as a researcher at the Fraunhofer CRCG in Providence, RI, USA in the area of context-based information visualization from 1999 to 2003. In 2003 he relocated back to Germany to work on decision-centered visualization in the department of Graphic Information Systems at Fraunhofer IGD. He received his doctoral degree from the faculty of computer science at the technical university of Darmstadt in 2005. Since 2004 he leads the department of Realtime Solutions for Simulation and Visual Analytics. His research interests include semantics-based and decision-centered information visualization, visual business analytics, and simulation-based visualization of large amounts of data.<br /> <br /> === Affiliation: === <br /> * Fraunhofer IGD (Germany)<br /> * Technical Univ. of Darmstadt (Germany)<br /> <br /> === Subject Areas: ===<br /> * Realtime Solutions for Simulation and Visual Analytics<br /> <br /> === Collaborative Colleagues: ===<br /> * Dieter Fellner<br /> * Tatiana Tekusova<br /> * Tobias Schreck <br /> <br /> == External links == <br /> # http://ec.europa.eu/information_society/istevent/koln2007/cf/people-detail.cfm?id=2850<br /> # http://www.igd.fraunhofer.de/igd-a3<br /> # http://www.igd.fraunhofer.de/igd-a3/staff.phtml?id=36&amp;lang=ENGLISH <br /> # http://www.competence-site.de/cc/experten.nsf/experte/K3358-Joern-Kohlhammer<br /> <br /> <br /> === Comments: ===<br /> <br /> # Semantics for Intelligent Mobility Applications<br /> ## Networking Session &quot;Objective 2007.4.2 Intelligent Content and Semantics&quot;<br /> # Visual Analysis of Biomedical Data<br /> ## Networking Session &quot;Objective 2007.5.3 Virtual Physiological Human&quot;<br /> <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19112 2008-04-27T20:26:40Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Tatiana Tekusova ==<br /> <br /> [[Image:Tekusova.jpg|thumb|Tatiana Tekusova]]<br /> <br /> <br /> TatianaTekušová studied economic - and finance-mathematics at the Komensky university in Bratislava, Slovakia. She has finished her study in 2003. She was employed after it at the department of Finance of the Slovak republic as economic-analyst. Since November 2003, she worked in the European central bank in the directorship statistics and later in the directorship political economy. She collected practical experiences in statistical and visual data-analysis, data-methodology and -management. Since April 2006 works she at the Fraunhofer IGD in the department real-time-solutions for simulation and Visual Analytics.<br /> <br /> === Affiliation: === <br /> * Fraunhofer IGD (Germany)<br /> * Technical Univ. of Darmstadt (Germany)<br /> <br /> === Subject Areas: ===<br /> * H.5.1 Multimedia Information Systems<br /> * Animations<br /> <br /> === Collaborative Colleagues: ===<br /> * Dieter Fellner<br /> * Jorn Kohlhammer<br /> * Tobias Schreck <br /> <br /> == External links == <br /> # http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=DEUTSCH<br /> # http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=ENGLISH <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19111 2008-04-27T20:22:17Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Tatiana Tekusova ==<br /> <br /> [[Image:Tekusova.jpg|thumb|Tatiana Tekusova]]<br /> <br /> <br /> TatianaTekušová studied economic - and finance-mathematics at the Komensky university in Bratislava, Slovakia. She has finished her study in 2003. She was employed after it at the department of Finance of the Slovak republic as economic-analyst. Since November 2003, she worked in the European central bank in the directorship statistics and later in the directorship political economy. She collected practical experiences in statistical and visual data-analysis, data-methodology and -management. Since April 2006 works she at the Fraunhofer IGD in the department real-time-solutions for simulation and Visual Analytics.<br /> <br /> === Subject Areas: ===<br /> * H.5.1 Multimedia Information Systems<br /> * Animations<br /> <br /> === Collaborative Colleagues: ===<br /> * Dieter Fellner<br /> * Jorn Kohlhammer<br /> * Tobias Schreck <br /> <br /> == External links == <br /> # http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=DEUTSCH<br /> # http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=ENGLISH <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19110 2008-04-27T20:21:19Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Tatiana Tekusova ==<br /> <br /> [[Image:Tekusova.jpg|thumb|Tatiana Tekusova]]<br /> <br /> <br /> TatianaTekušová studied economic - and finance-mathematics at the Komensky university in Bratislava, Slovakia. She has finished her study in 2003. She was employed after it at the department of Finance of the Slovak republic as economic-analyst. Since November 2003, she worked in the European central bank in the directorship statistics and later in the directorship political economy. She collected practical experiences in statistical and visual data-analysis, data-methodology and -management. Since April 2006 works she at the Fraunhofer IGD in the department real-time-solutions for simulation and Visual Analytics.<br /> <br /> === Subject Areas: ===<br /> * H.5.1 Multimedia Information Systems<br /> * Animations<br /> <br /> === Collaborative Colleagues: ===<br /> * Dieter Fellner<br /> * Jorn Kohlhammer<br /> * Tobias Schreck <br /> <br /> == External links == <br /> http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=DEUTSCH<br /> http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=ENGLISH <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19109 2008-04-27T20:10:18Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Tatiana Tekusova ==<br /> <br /> TatianaTekušová studied economic - and finance-mathematics at the Komensky university in Bratislava, Slovakia. She has finished her study in 2003. She was employed after it at the department of Finance of the Slovak republic as economic-analyst. Since November 2003, she worked in the European central bank in the directorship statistics and later in the directorship political economy. She collected practical experiences in statistical and visual data-analysis, data-methodology and -management. Since April 2006 works she at the Fraunhofer IGD in the department real-time-solutions for simulation and Visual Analytics.<br /> <br /> === Subject Areas: ===<br /> * H.5.1 Multimedia Information Systems<br /> * Animations<br /> <br /> === Collaborative Colleagues: ===<br /> * Dieter Fellner<br /> * Jorn Kohlhammer<br /> * Tobias Schreck <br /> <br /> == External links == <br /> http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=DEUTSCH<br /> http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=ENGLISH <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19108 2008-04-27T19:57:01Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Tatiana Tekusova ==<br /> <br /> <br /> === Subject Areas: ===<br /> H.5.1 Multimedia Information Systems<br /> Animations<br /> <br /> === Collaborative Colleagues: ===<br /> Dieter Fellner,<br /> Jorn Kohlhammer,<br /> Tobias Schreck <br /> <br /> == External links == <br /> http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=DEUTSCH<br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19107 2008-04-27T19:51:46Z

<p>UE-InfoVis08-07: </p> <hr /> <div>== Tatiana Tekusova ==<br /> <br /> <br /> === Subject Areas: ===<br /> H.5.1 Multimedia Information Systems<br /> Animations<br /> <br /> === Collaborative Colleagues: ===<br /> Dieter Fellner,<br /> Jorn Kohlhammer,<br /> Tobias Schreck <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19106 2008-04-27T19:47:38Z

<p>UE-InfoVis08-07: </p> <hr /> <div>Subject Areas:<br /> H.5.1 Multimedia Information Systems<br /> Animations<br /> <br /> Collaborative Colleagues:<br /> Dieter Fellner,<br /> Jorn Kohlhammer,<br /> Tobias Schreck <br /> <br /> [[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Tekusova,_Tatiana&diff=19049 2008-04-21T10:09:06Z

<p>UE-InfoVis08-07: Tekusova, Tatiana moved to Tekušová, Tatiana: Now the Persons name seems to be written correctly...</p> <hr /> <div>#REDIRECT [[Tekušová, Tatiana]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=Teku%C5%A1ov%C3%A1,_Tatiana&diff=19048 2008-04-21T10:09:06Z

<p>UE-InfoVis08-07: Tekusova, Tatiana moved to Tekušová, Tatiana: Now the Persons name seems to be written correctly...</p> <hr /> <div>[[Category:Persons]]</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Tekusova.jpg&diff=19047 2008-04-21T10:07:49Z

<p>UE-InfoVis08-07: Picture of Tatiana Tekusova</p> <hr /> <div>== Summary ==<br /> Picture of Tatiana Tekusova<br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://www.igd.fhg.de/igd-a3/staff.phtml?id=39&amp;lang=DEUTSCH</div>

UE-InfoVis08-07 https://infovis-wiki.net/w/index.php?title=File:Kohlhammer.jpg&diff=19046 2008-04-21T10:06:04Z

<p>UE-InfoVis08-07: Picture of Jörn Kohlhammer</p> <hr /> <div>== Summary ==<br /> Picture of Jörn Kohlhammer<br /> == Copyright status ==<br /> <br /> == Source ==<br /> http://www.igd.fraunhofer.de/igd-a3/staff.phtml?id=36&amp;lang=ENGLISH</div>

UE-InfoVis08-07