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

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

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

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

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...

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

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

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...

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...

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

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...

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

Cluster analysis, or clustering, is a data analysis technique aimed at partitioning a set of objects into groups such that objects within the same group...

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...

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

intuitive ways." Data analysis is an indispensable part of all applied research and problem solving in industry. The most fundamental data analysis approaches...

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

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...

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

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...

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

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...

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

a discipline, a workflow, and a profession. Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to...

survival analysis involves the modelling of time to event data; in this context, death or failure is considered an "event" in the survival analysis literature...

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...

usually used to enable subsequent analysis and data science, which often involves machine learning. Making the data usable usually involves substantial...

probability theory, and are frequently nonparametric statistics. Even when a data analysis draws its main conclusions using inferential statistics, descriptive...