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Data are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, or other basic units of meaning. Data are used in scientific research, economics, and other fields, and can be processed, analyzed, and visualized using various methods and techniques.
Data is any sequence of symbols that requires interpretation to become information. Learn about data types, data structures, data storage, data manipulation and data characteristics in computer science.
Data science is an interdisciplinary field that uses various methods and techniques to extract knowledge and insights from data. Learn about its origins, foundations, relationship to statistics, and examples of data science in different domains.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Learn about the phases, sources, and methods of data analysis, as well as the related fields of data science, data mining, and data visualization.
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities. Learn about the different perspectives, roles, and history of data models, as well as the data modeling languages and notations used to specify them.
Data quality is the state of qualitative or quantitative pieces of information that are fit for their intended uses and represent the real-world constructs. Learn about the different perspectives, dimensions, and frameworks of data quality, as well as its history and applications.
A data set is a collection of data that can be tabular, multivariate, or composed of documents or files. Learn about the characteristics, types, and applications of data sets in statistics, machine learning, and open data.
Data processing is the collection and manipulation of digital data to produce meaningful information. Learn about the functions, history, and applications of data processing, from manual to electronic methods, and the related terms and concepts.