Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions...

exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization...

capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was...

Functional data analysis (FDA) is a branch of statistics that analyses data providing information about curves, surfaces or anything else varying over...

Distributional data analysis is a branch of nonparametric statistics that is related to functional data analysis. It is concerned with random objects...

In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information...

Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program. It forms...

quality Path quality analysis Fourier analysis In statistics, the term analysis may refer to any method used for data analysis. Among the many such methods...

Dark data Data (computer science) Data acquisition Data analysis Data bank Data cable Data curation Data domain Data element Data farming Data governance...

Geometric data analysis comprises geometric aspects of image analysis, pattern analysis, and shape analysis, and the approach of multivariate statistics...

observed data; how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis. Certain...

component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing...

their first interim data analysis. The researcher can even make further unplanned changes based on another interim data analysis. Such an approach would...

methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge...

Structured data analysis is the statistical data analysis of structured data. This can arise either in the form of an a priori structure such as multiple-choice...

series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time...

In statistics, factor analysis of mixed data or factorial analysis of mixed data (FAMD, in the French original: AFDM or Analyse Factorielle de Données...

Cluster analysis or clustering is the data analyzing technique in which task of grouping a set of objects in such a way that objects in the same group...

Forensic data analysis (FDA) is a branch of digital forensics. It examines structured data with regard to incidents of financial crime. The aim is to...

interpreting patterns of meaning (or "themes") within qualitative data. Thematic analysis is often understood as a method or technique in contrast to most...

statistics, oversampling and undersampling in data analysis are techniques used to adjust the class distribution of a data set (i.e. the ratio between the different...

Social data analysis is the data-driven analysis of how people interact in social contexts, often with data obtained from social networking services. The...

science. The neighboring field of visual analytics marries statistical data analysis, data and information visualization and human analytical reasoning through...

research. Secondary data analysis can save time that would otherwise be spent collecting data and, particularly in the case of quantitative data, can provide...

data analysis may refer to: Structured data analysis (statistics) – the search for structure in a dataset Structured data analysis (systems analysis)...

a research strategy that focuses on quantifying the collection and analysis of data. It is formed from a deductive approach where emphasis is placed on...

specialized analysis techniques for discovering fraud using them are required. Some of these methods include knowledge discovery in databases (KDD), data mining...

computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core...

proprietary computer program for interactive scientific graphing and data analysis. It is produced by OriginLab Corporation, and runs on Microsoft Windows...

Data dredging (also known as data snooping or p-hacking) is the misuse of data analysis to find patterns in data that can be presented as statistically...