exploratory data analysis

exploratory data analysis: abbr. EDA

French\ \ analyse exploratoire des données

German\ \ explorative Datenanalyse; EDA

Dutch\ \ verkennende analyse van gegevens

Italian\ \ analisi esplorativa dei dati

Spanish\ \ análisis de datos exploratorio

Catalan\ \ anàlisi exploratòria de dades

Portuguese\ \ análise exploratória de dados

Romanian\ \ analiza exploratorie a datelor

Danish\ \ eksplorativ dataanalyse

Norwegian\ \ utforskende dataanalyse

Swedish\ \ explorativ dataanalys; EDA

Greek\ \ διερευνητική ανάλυση δεδομένων; ΔΑΔ

Finnish\ \ kokeellinen aineistoanalyysi; data-analyysi

Hungarian\ \ adatok átvilágítása

Turkish\ \ keşfedici veri çözümlemesi; keşfedici veri analizi; EDA veya KEVA

Estonian\ \ esmane andmeanalüüs

Lithuanian\ \ tyrimo duomenų analizė

Slovenian\ \ eksplorativna analiza prodatkov; odkrivalna analiza podatkov

Polish\ \ eksploracyjna analiza danych

Russian\ \ исследующий анализ данных (информации)

Ukrainian\ \ розвідувальний аналіз даних

Serbian\ \ истраживачки анализа података

Icelandic\ \ -

Euskara\ \ esplorazio datuen analisia

Farsi\ \ -

Persian-Farsi\ \ تحليل کاوشگرانه داده‌ها

Arabic\ \ تحليل البيانات الاستطلاعية

Afrikaans\ \ verkennende data-analise

Chinese\ \ 探索数据分析

Korean\ \ 탐색적 자료[데이터]분석

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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
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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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exploratory data analysis

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