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In exploratory data analysis, the iconography of correlations is a method which consists in replacing a correlation matrix by a diagram where the “remarkable” correlations are represented by a solid line (positive correlation), or a dotted line (negative correlation). This idea also appears in Gaussian graphic models used in particular in genome mapping. But the iconography of correlations is more general in that it does not make an assumption about the Gaussian distribution, or not, of the variables, and relies only on the geometric aspect of the Correlation coefficient.

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  • Iconografía de las correlaciones (es)
  • Iconographie des corrélations (fr)
  • Iconography of correlations (en)
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  • In exploratory data analysis, the iconography of correlations is a method which consists in replacing a correlation matrix by a diagram where the “remarkable” correlations are represented by a solid line (positive correlation), or a dotted line (negative correlation). This idea also appears in Gaussian graphic models used in particular in genome mapping. But the iconography of correlations is more general in that it does not make an assumption about the Gaussian distribution, or not, of the variables, and relies only on the geometric aspect of the Correlation coefficient. (en)
  • La iconografía de las correlaciones, uno de los métodos de análisis de datos, consiste en reemplazar una matriz de correlación por un esquema o grafo donde las correlaciones «notables» son representadas por un trazo continuo (correlación positiva), o un trazo punteado (correlación negativa). (es)
  • En analyse des données, l'iconographie des corrélations est une méthode qui consiste à remplacer une matrice de corrélation par un schéma où les corrélations « remarquables » sont représentées par un trait plein (corrélation positive), ou un trait pointillé (corrélation négative). (fr)
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  • In exploratory data analysis, the iconography of correlations is a method which consists in replacing a correlation matrix by a diagram where the “remarkable” correlations are represented by a solid line (positive correlation), or a dotted line (negative correlation). This idea also appears in Gaussian graphic models used in particular in genome mapping. But the iconography of correlations is more general in that it does not make an assumption about the Gaussian distribution, or not, of the variables, and relies only on the geometric aspect of the Correlation coefficient. The first idea of the iconography of correlations dates back to 1975. Applied first to marine geochemistry, it was the subject of a thesis in 1981, and of an article in Cahiers de l'Analyse des Données in 1982. After that, the application of the method in many branches of the aerospace industry · for about fifteen years, explains, paradoxically, the relative confidentiality in which it remained for a long time, companies not generally wishing to shout their solutions on the roofs. Since the creation in 1997 of a first company distributing software based on the iconography of correlations, and its teaching in some universities, the bibliography has grown widely, particularly in the medical and astrophysical sectors (mass spectrometry · ) · (en)
  • La iconografía de las correlaciones, uno de los métodos de análisis de datos, consiste en reemplazar una matriz de correlación por un esquema o grafo donde las correlaciones «notables» son representadas por un trazo continuo (correlación positiva), o un trazo punteado (correlación negativa). A partir de un cuadro de datos (por ejemplo, una hoja de cálculo) que contiene columnas («variables») y líneas («observaciones» de estas variables), la iconografía de las correlaciones elimina las «falsas buenas correlaciones» entre estas variables, esto es, las que se deben a una tercera variable, y detecta las correlaciones «enmascaradas». El «esquema» final, que presenta solo los vínculos directos entre las variables cualitativas y\o cuantitativas, es un medio de percibir de una ojeada lo esencial, sobre una figura única, quitando las redundancias. (es)
  • En analyse des données, l'iconographie des corrélations est une méthode qui consiste à remplacer une matrice de corrélation par un schéma où les corrélations « remarquables » sont représentées par un trait plein (corrélation positive), ou un trait pointillé (corrélation négative). Cette idée apparaît aussi dans les'modèles graphiques gaussiens utilisés notamment en cartographie du génome. Mais l’iconographie des corrélations est plus générale en ce qu’elle ne fait pas d’hypothèse sur la distribution gaussienne, ou non, des variables, et repose uniquement sur l’aspect géométrique du coefficient de corrélation. (fr)
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