Structured data analysis is the statistical data analysis

Statistics

Statistics is the study of the collection, organization, analysis, and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments....

 of structured data. This can arise either in the form of an a priori structure such as multiple-choice questionnaires or in situations with the need to search for structure

Structure

Structure is a fundamental, tangible or intangible notion referring to the recognition, observation, nature, and permanence of patterns and relationships of entities. This notion may itself be an object, such as a built structure, or an attribute, such as the structure of society...

 that fits the given data, either exactly or approximately. This structure can then be used for making comparisons, predictions, manipulations etc.

Types of structured data analysis

• Regression analysis
  Regression analysis
  In statistics, regression analysis includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables...
  
  
• Bayesian analysis
  Hierarchical Bayes model
  The hierarchical Bayes model is a method in modern Bayesian statistical inference. It is a framework for describing statistical models that can capture dependencies more realistically than non-hierarchical models....
  
  
• Cluster analysis
• Combinatorial data analysis
  Combinatorial data analysis
  Combinatorial data analysis is the study of data sets where the arrangement of objects is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or to search for a suitable combinatorial construct that does fit the data.-See...
  
  
• Geometric data analysis
  Geometric data analysis
  Geometric data analysis can refer to geometric aspects of image analysis, pattern analysis and shape analysis or the approach of multivariate statistics that treats arbitrary data sets as clouds of points in n-dimensional space...
  
  
• Topological data analysis
  Topological data analysis
  Topological data analysis is a new area of study aimed at having applications in areas such as data mining and computer vision.The main problems are:# how one infers high-dimensional structure from low-dimensional representations; and...
  
  
• Shape analysis
  Statistical shape analysis
  Statistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and pathological bone shapes, etc...
  
  
• Functional data analysis
  Functional data analysis
  Functional data analysis is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum...
  
  
• Tree structured data analysis
  Decision tree learning
  Decision tree learning, used in statistics, data mining and machine learning, uses a decision tree as a predictive model which maps observations about an item to conclusions about the item's target value. More descriptive names for such tree models are classification trees or regression trees...
  
  
• Formal concept analysis
  Formal concept analysis
  Formal concept analysis is a principled way of automatically deriving an ontology from a collection of objects and their properties. The term was introduced by Rudolf Wille in 1984, and builds on applied lattice and order theory that was developed by Birkhoff and others in the 1930s.-Intuitive...
  
  
• Algebraic data analysis

See also

• Data analysis
  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...
  
  
• Analysis of categorical data
  Analysis of categorical data
  This a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables* Categorical distribution, general model* Stratified analysis* Chi-squared test...
  
  
• Dimension reduction
• Group method of data handling
  Group method of data handling
  Group method of data handling is a family of inductive algorithms for computer-based mathematical modeling of multi-parametric datasets that features fully automatic structural and parametric optimization of models....
  
  
• Exploratory data analysis
  Exploratory data analysis
  In statistics, exploratory data analysis is an approach to analysing data sets to summarize their main characteristics in easy-to-understand form, often with visual graphs, without using a statistical model or having formulated a hypothesis...