exploratory data analysis

exploratory data analysis
стат. разведочный анализ данных (метод статистического анализа, предполагающий изучение имеющихся данных; применяется для нахождения связей между переменными в ситуациях, когда отсутствуют или недостаточны априорные представления о природе этих связей)
See:

Англо-русский экономический словарь.

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  • Exploratory data analysis — (EDA) is an approach to analyzing data for the purpose of formulating hypotheses worth testing, complementing the tools of conventional statistics for testing hypotheses And roughly the only mechanism for suggesting questions is exploratory. And… …   Wikipedia

  • Data analysis — Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches,… …   Wikipedia

  • Data Desk — Developer(s) Data Description Inc. Stable release 6.2 (Win), 6.2 (Mac) Operating system Windows Mac Type Statistical analysis …   Wikipedia

  • Exploratory search — is a specialization of information exploration, which represents the activities carried out by searchers who are either [1] : * a) unfamiliar with the domain of their goal (ie need to learn about the topic in order to understand how to achieve… …   Wikipedia

  • Data reduction — is the transformation of numerical or alphabetical digital information derived empirical or experimentally into a corrected, ordered, and simplified form. Columns and rows are moved around until a diagonal pattern appears, thereby making it easy… …   Wikipedia

  • Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… …   Wikipedia

  • Data visualization — A data visualization of Wikipedia as part of the World Wide Web, demonstrating hyperlinks Data visualization is the study of the visual representation of data, meaning information that has been abstracted in some schematic form, including… …   Wikipedia

  • Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… …   Wikipedia

  • Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

  • Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… …   Wikipedia

  • Configural frequency analysis — (CFA) (Lienert, 1969) is a method of exploratory data analysis. The goal of a configural frequency analysis is to detect patterns in the data that occur significantly more (such patterns are called Types) or significantly less often (such… …   Wikipedia


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