There are two ways of looking at the graphic representation of data in Data Mining. The first is to consider it as a tool for presenting results. The graph supports the text and tables to highlight the information produced by analysis. For example, one text ad in the sales of caps increases in winter a small curve where there are peaks and end sales earlier this year confirms that.
The second seeks to integrate the graph in the same exploratory process. Here, it becomes an additional tool for detecting patterns, peculiarities and relationships that may exist in the data. In this regard, modern software with graphics capabilities of increasingly powerful, open up incredible opportunities. As I often say a graph is widely felt much better than a series of ratios to interpret confusing or poorly controlled.
In this tutorial, we conducting a principal components analysis with the software R. We had already done previously with the procedure princomp () . Here we repeat the study with the procedure (PCA) package FactoMineR. Many indicators on the elements (variables, individuals) are active or illustrative provided directly now, greatly facilitating the task of the practitioner. It is no longer necessary to post-calculated using formulas more or less complex as we have done in previous document. Subsequently, on the basis of indicators delivered by PCA (), we will conduct an exploration using graphical Tool dynGraph eponymous package. We find that the opportunities for interactive analysis are numerous.
Keywords: R software, principal component analysis, PCA, correlation circle, illustrative variables, FactoMineR, dyngraph, interactive graphical analysis
components: PCA, dynGraph
Link: acp_avec_factominer_dyngraph.pdf
Data : acp_avec_factominer_dyngraph.zip
References:
G. Saporta, "Probability, Data Analysis and Statistics", Dunod, 2006, pages 155 to 179.
Tutorial Tanagra, " ACP - Description of vehicles "
F. Husson, J. Josse, S. Le, J. Pages FactoMineR The package for R; http://factominer.free.fr/
S. Le, J. Durand, dynGraph The package for R; http://dyngraph.free.fr/
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