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...

when used in small amounts only. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization...

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

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

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...

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...

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

exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern recognition, image analysis, information...

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