<commit_before># Media Transparency Database Visualization
<small>188.943 Praktikum aus Visual Computing</small>
    
## Abstract

The "media transparency database" contains the accumulated amount of
money spent by governmental organizations on media companies. This data
can be explored as a multimodal dynamic network. Existing web projects
already present solutions to visualize the dataset, but to analyse the
data further a user needs more interaction methods. I implemented a 
task-tailored dashboard with multiple connected views, which implements
brushing and linking to enable the user to analyse the dataset
in an easy to use matter.

## Related Work

  The "media transparency database" is available since the third quarter 
  of 2012. Since then several visualizations got presented:

  -   [\[<NAME>\]](http://www.paroli-magazin.at/555/) presents a visualization that uses grouping of the media
      entities to reduce the screen space and complexity of
      the visualization. It only uses one quarter of one year of the
      total data. It is possible to interact with the visualization and
      ungroup the media entities.
  -   [\[<NAME>ner\]](http://derstandard.at/2000017464403/Regierungsinserate-406-Millionen-im-ersten-Quartal) presents a static visualization with bar charts and a line
      plot as a visualization for time oriented data by the Austrian
      newspaper “Der Standard”.
  -   One of my colleagues implemented a force directed node link diagram.
      The user of this visualization is able to interact with the data and
      filter it with different queries. But the force directed node link
      diagram was too slow for the huge database [\[Schrempf2014\]](http://web.student.tuwien.ac.at/~e0920136/Files/MTDV/src/MTDV.html).
  -   [\[<NAME>. al\]](http://www.medien-transparenz.at/) implemented a website to get an overview of the
      media dataset. It features multiple visualizations which are all
      interactive but not connected to one dashboard.

  The first two visualizations are presentations of an analysis of the
  data. But the last two approaches are visualizations that support the
  user to analyze and investigate into the data. The force directed node
  link diagram has the problem that it is too slow to render a nice
  overview of the dynamic network. Additionally it is hard to interpret
  the payment flow, because it is visually encoded in the size of the
  nodes of the diagram. 

  The visualization of [\[<NAME> et. al\]](http://www.medien-transparenz.at/) is stable, easy and fast to interact. But
  the visualizations are distributed onto 4 different web pages, which
  makes it hard to combine the insight of the user from one visualization
  with the others. Additionally the payment flow visualization is
  restricted to only 800 relations. 

## Technologies<commit_msg>minor changes in related work<commit_after># Media Transparency Database Visualization
<small>188.943 Praktikum aus Visual Computing</small>
    
## Abstract

The "media transparency database" contains the accumulated amount of
money spent by governmental organizations on media companies. This data
can be explored as a multimodal dynamic network. Existing web projects
already present solutions to visualize the dataset, but to analyse the
data further a user needs more interaction methods. I implemented a 
task-tailored dashboard with multiple connected views, which implements
brushing and linking to enable the user to analyse the dataset
in an easy to use matter.

## Related Work

  The "media transparency database" is available since the third quarter 
  of 2012. Since then several visualizations got presented:

  -   [\[<NAME>\]](http://www.paroli-magazin.at/555/) presents a visualization that uses grouping of the media
      entities to reduce the screen space and complexity of
      the visualization. It only uses one quarter of one year of the
      total data. It is possible to interact with the visualization and
      ungroup the media entities.
  -   [\[M. Hametner\]](http://derstandard.at/2000017464403/Regierungsinserate-406-Millionen-im-ersten-Quartal) presents a static visualization with bar charts and a line
      plot as a visualization for time oriented data by the Austrian
      newspaper “Der Standard”.
  -   [\[<NAME>\]](http://web.student.tuwien.ac.at/~e0920136/Files/MTDV/src/MTDV.html) 
      implemented a force-directed node link diagram.
      The user of this visualization is able to interact with the data and
      filter it with different queries. But the force-directed node link
      diagram was too slow for the huge database.
  -   [\[<NAME> et. al\]](http://www.medien-transparenz.at/) implemented a website to get an overview of the
      media dataset. It features multiple visualizations which are all
      interactive but not connected to one dashboard.

  The first two visualizations are presentations of an analysis of the
  data. But the last two approaches are visualizations that support the
  user to analyze and investigate into the data. The force directed node
  link diagram has the problem that it is too slow to render a nice
  overview of the dynamic network. Additionally it is hard to interpret
  the payment flow, because it is visually encoded in the size of the
  nodes of the diagram. 

  The visualization of [\[P. Salhofer et. al\]](http://www.medien-transparenz.at/) is stable, easy and fast to interact. But
  the visualizations are distributed onto 4 different web pages, which
  makes it hard to combine the insight of the user from one visualization
  with the others. Additionally the payment flow visualization is
  restricted to only 800 relations. 

## Technologies
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{'dir': 'git-commits-cleaned', 'id': '7161887', 'n_tokens_mistral': 1490, 'n_tokens_neox': 1352, 'n_words': 756}