{"id":3305,"date":"2020-12-21T14:17:00","date_gmt":"2020-12-21T14:17:00","guid":{"rendered":"http:\/\/desres20.netornot.at\/?p=3305"},"modified":"2021-02-02T17:27:46","modified_gmt":"2021-02-02T17:27:46","slug":"data-code-design-was-ist-abstrakte-datenvisualisierung","status":"publish","type":"post","link":"http:\/\/desres20.netornot.at\/?p=3305","title":{"rendered":"DATA, code, design | Daten-Visualisierung, Art + Science = ?"},"content":{"rendered":"\n

Definitionssuche<\/strong> <\/strong><\/p>\n\n\n\n

\u201eMit Visualisierung<\/strong> oder Veranschaulichung<\/strong> (Sichtbarmachen) meint man im Allgemeinen, abstrakte Daten (z. B. Texte) und Zusammenh\u00e4nge in eine graphische bzw. visuell erfassbare Form zu bringen.\u201c <\/em>
https:\/\/de.wikipedia.org\/wiki\/Visualisierung<\/a><\/p>\n\n\n\n

“Data visualization<\/strong> (often abbreviated data viz[1]<\/a><\/sup>) is an interdisciplinary field that deals with the graphic<\/a> representation<\/a> of data<\/a>. It is a particularly efficient way of communicating when the data is numerous as for example a Time Series<\/a>. From an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for example, lines or points in a chart). The mapping determines how the attributes of these elements vary according to the data. In this light, a bar chart is a mapping of the length of a bar to a magnitude of a variable. Since the graphic design of the mapping can adversely affect the readability of a chart,[2]<\/a><\/sup> mapping is a core competency of Data visualization. Data visualization has its roots in the field of Statistics<\/a> and is therefore generally considered a branch of Descriptive Statistics<\/a>. However, because both design skills and statistical and computing skills are required to visualize effectively, it is argued by some authors that it is both an Art and a Science.[3]<\/a><\/sup>“<\/em>
https:\/\/en.wikipedia.org\/wiki\/Data_visualization<\/a><\/p>\n\n\n\n

<\/p>\n\n\n\n

Art + Science = Informationdesign? <\/strong><\/p>\n\n\n\n

Als Informations Designer und angehender Communication Designer trifft diese Definition den Nagel f\u00fcr mich auf den Kopf:<\/p>\n\n\n\n

\u201eInformation design<\/strong> is the practice of presenting information in a way that fosters an efficient and effective understanding of the information. The term has come to be used for a specific area of graphic design<\/a> related to displaying information effectively, rather than just attractively or for artistic expression. Information design is closely related to the field of data visualization<\/a> and is often taught as part of graphic design courses.[1]<\/a><\/sup> The broad applications of information design along with its close connections to other fields of design<\/a> and communication practices have created some overlap in the definitions of communication design<\/a>, data visualization<\/a>, and information architecture<\/a>.\u201d<\/em>
https:\/\/en.wikipedia.org\/wiki\/Information_design <\/a><\/p>\n\n\n\n


Wenn man von solchen multidisziplin\u00e4r erstellten Diagrammen spricht, spricht man meist von solchen: <\/p>\n\n\n\n