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...portant in [[factor analysis of mixed data]] (FAMD) and in multiple factor analysis (MFA). |+ Table 1. Minute data set for MCA. ...

{{Short description|Method of exploratory data analysis}} ...the identified types and antitypes some insight into the structure of the data. Types are interpreted as concepts which are constituted by a pattern of va ...

...of spatial autocorrelation that aims to account for spatial dependence of data while studying their [[covariance]].<ref>{{Cite journal ...= Multivariate spatial correlation: a method for exploratory geographical analysis ...

{{Short description|Data analysis technique}} ...ctober 2024}} MCA can be viewed as an extension of simple [[correspondence analysis]] (CA) in that it is applicable to a large set of [[categorical variable]]s ...

...data analysis or to allow the application of simple regression-based or [[analysis of variance]] techniques.<ref>{{cite book |last=Everitt |first=B. S. |year= ...formation is to find a simple function ''ƒ'' to apply to values ''x'' in a data set to create new values {{math|1=''y'' = ''ƒ''(''x'')}} such that the vari ...

...]] structures. MFA treats all involved tables in the same way (symmetrical analysis). It may be seen as an extension of: * [[Principal component analysis]] (PCA) when variables are quantitative, ...

{{Short description|Thirteen data sets with the same descriptive statistics, yet very different distributions {{Data Visualization}} ...

{{Short description|Data visualization tool}} ...author2=Han Lin|title=Rainbow Plots, Bagplots, and Boxplots for Functional Data|journal=Journal of Computational and Graphical Statistics|year=2010|volume= ...

...variation aid to interpret complex data, especially in [[exploratory data analysis]] (EDA). ...[[Principal component analysis|PCA]] and [[Functional principal component analysis|FPCA]]. ...

...ethods developed by the French school called ''Analyse des données'' (data analysis) founded by [[Jean-Paul Benzécri]]. ...ysis]] (PCA) for quantitative variables and as a [[multiple correspondence analysis]] (MCA) for qualitative variables. ...

...los|title=Multilinear (tensor) image synthesis, analysis, and recognition [exploratory dsp]|journal=IEEE Signal Processing Magazine|date=2007 |volume=24|issue=6|p ...2016-06-30 |title=Proceedings of the 2016 SIAM International Conference on Data Mining |chapter-url=https://epubs.siam.org/doi/10.1137/1.9781611974348.80 | ...

{{Short description|Model in functional data analysis}} ...e=2005-12-01 |title=Functional linear regression analysis for longitudinal data |journal=The Annals of Statistics |volume=33 |issue=6 |arxiv=math/0603132 | ...

...//bioinfo-out.curie.fr/projects/vidaexpert/ ViDaExpert] - Multidimensional Data Visualization Tool (free for non-commercial use). [[Curie Institute (Paris) ...they are a system of elastic [[Spring (device)|springs]] embedded in the data ...

...e often extremely simple, and often [[robust statistics]]: assuming sorted data, they are very easy to calculate and interpret, and are often resistant to ...nbiased, consistent estimator for the population standard deviation if the data follow a [[normal distribution]]. ...

{{Short description|Statistical analysis technique}} ...rincipal component analysis]] (PCA) for the reduction of dimensionality of data by introducing sparsity structures to the input variables. ...

...hubs in consensus modules, WGCNA also gives rise to network based [[meta analysis]] techniques.<ref name="Langfelder2013"/> ...dependency network]] or correlation network. Weighted correlation network analysis can be attractive for the following reasons: ...

...he range of differing approaches to undertaking [[Econometrics|econometric analysis]].<ref>Jennifer Castle and Neil Shephard (Eds) (2009) ''The Methodology and ...being analyzed, so called '''counterfactual analysis''' (for example, the analysis of a monopolistic market to accommodate a hypothetical case of the second e ...

{{Short description|Graphical technique for data sets}} ...iable plotted as a function of a known one, but this can also be done with data presented in tabular form. Graphs of functions are used in [[mathematics]], ...

data { * [[ArviZ]] a Python library for Exploratory Analysis of Bayesian Models ...

...ferent documents efficiently. Social tags are arguably more important in [[exploratory search]], in which the users may engage in iterative cycles of goal refinem ...tag choices and how social tags could be used as navigational cues during exploratory search. <!-- Suppressed the following "There is also an over-simplified re ...