Z: Why vis?

Node: Visualizations relate model and data directly

Descriptor ModelDataRelation
Argumentative standpoint Semiotics
Description

Both, models and data, are abstract mathematical structures. By their very nature they differ and have distinct properties. For example, data can be mesured on different scales and models can have several parameters to be set. There also are features that emerge from a suitable combination of data and model, e.g., model fit and residuals of a regression model. Visualization maps these diverse abstract objects to visual structures that have similar properties. The in type more similar visual structures can be related more easily.

Last updated 3 years, 3 months ago (June 22, 2018) by Streeb, Dirk

Tags


Outgoing Links (1)

Incoming Links (1)

Publications (2)

A. Gelman and A. Unwin 2013 Infovis and Statistical Graphics: Different Goals, Different Looks 0 0 1 21 2
S. Krämer 2014 Zur Grammatik der Diagrammatik 0 0 1 15 0
Authors Year Title Codings Coded entities
Open Started Completed Nodes Links

Codings (2)

Streeb, Dirk: A. Gelman and A. Unwin [2013]: Infovis and Statistical Graphics: Different Goals, Different Looks doi:10.1080/10618600.2012.761137 - 27.02.18 16:15 (+) Positive One or more sentences p. 11 …the most effective data graphs can often be viewed as implicit or explicit comparisons to models (Gelman2004), and, conversely, when graphing models, we prefer to display data alongside to give a sense of model fit.
Streeb, Dirk: S. Krämer [2014]: Zur Grammatik der Diagrammatik doi:10.1007/BF03379712 - 24.01.18 12:17 (+) Positive
Coding Affirmation Extent Reference Quote

Comments (0)