Difference between revisions of "Data analysis"

Latest revision as of 16:46, 22 April 2016

Data analysis is the analysis of data.

Description

Analysis of data is:

• A process of inspecting, cleaning, transforming, and modeling data
• With the goal of discovering useful information, suggesting conclusions, and supporting decision-making

The term data analysis is sometimes used as a synonym for data modeling.

Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.

Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes.

Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information.

In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA).

• EDA focuses on discovering new features in the data
• CDA focuses on confirming or falsifying existing hypotheses

Predictive analytics focuses on application of statistical models for predictive forecasting or classification.

Text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data.

Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination..

See also

• Data
• Data mining
• Data modelling
• Data visualization
• Information

External links

• Data analysis @ Wikipedia[[Category:Metadata]