Data Analysis

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Data analysis is the act of transforming data with the aim of extracting useful information and facilitating conclusions. Depending on the type of data and the question, this might include application of Statistics methods, curve fitting, selecting or discarding certain subsets based on specific criterion, or other techniques.In contrast to Data mining, data analysis is usually more narrowly intended as not aiming to the discovery of unforeseen patterns hidden in the data, but to the verification or disproval of an existing model, or to the extraction of parameters necessary to adapt a theoretical model to (experimental) reality.

Applications in various fields Data analysis assumes different aspects, and possibly different names, in different fields.

Nuclear and particle physics In nuclear physics and particle physics the data usually originate from the particle detector via a Data acquisition system. It is then processed, in a step usually called data reduction, to apply calibrations and to extract physically significant information. Data reduction is most often, especially in large particle physics experiments, an automatic, batch-mode operation carried out by software written ad-hoc. The resulting data n-tuples are then scrutinized by the physicists, using specialized software tools like ROOT or Physics Analysis Workstation, comparing the results of the experiment with theory.

The theoretical models are often difficult to compare directly with the results of the experiments, so they are used instead as input for Monte Carlo method software like Geant4 that predict the response of the detector to a given theoretical event, producing simulated events which are then compared to experimental data.

See also: Computational physics.

Social sciences Qualitative data analysis (QDA) or qualitative research is the analysis of non-numerical data, for example words, photographs, observations, etc..

Information technology A special case is the Data analysis (information technology in othm ).

Business See

See also

Further reading



Data Analysis - Introduction
Introduction. Welcome to the data analysis on-line learning programme. The programme covers both qualitative and quantitative approaches to data analysis.

Data Analysis - Glossary
A. Alternative hypothesis A precise statement relating to the research question to be tested, expressed in terms which assume a relationship (association) or difference between ...

Longitudinal Data Analysis for Social Science Researchers
Welcome to the website of the 'Longitudinal Data Analysis for Social Science Researchers' project which is funded under the ESRC Researcher Development Initiative.

Exploratory Data Analysis from FOLDOC
Exploratory Data Analysis (EDA) [J.W.Tukey, "Exploratory Data Analysis", 1977, Addisson Wesley]. Try this search on Wikipedia, OneLook, Google

Interactive Data analysis Language from FOLDOC
Interactive Data analysis Language < language > (IDL) A language from Xerox, built on Interlisp-D. (2004-05-07) Try this search on Wikipedia, OneLook, Google

SOCM10 (full-time): Data Analysis
This course is for fulltime students on the SRM and CCJSR degree programmes and is taught during the Autumn Semester.

1B40 Computing: Data Analysis
1B40 COMPUTING: DATA ANALYSIS Department of Physics & Astronomy, University College London [

Data analysis - Wikipedia, the free encyclopedia
Data analysis is the process of looking at and summarizing data with the intent to extract useful information and develop conclusions. Data analysis is closely related to Data ...

Data Analysis : Research : Modelling : Mathematics & Scientific ...
Data analysis combines the model of the physical system and the measurement data to provide estimates of system parameters for use in mathematical modelling.

Met Office: Data analysis and assimilation
To predict the weather even a short time ahead, it is essential that we know the current state of the atmosphere to provide starting conditions for ...





 
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