12 relations: Data analysis, Data set, Dimension (data warehouse), Econometrics, MultiDimensional eXpressions, Multidimensional panel data, Online analytical processing, Panel data, Pivot table, Relational database, Spreadsheet, Statistics.
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
A data set (or dataset) is a collection of data.
A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions.
Econometrics is the application of statistical methods to economic data and is described as the branch of economics that aims to give empirical content to economic relations.
Multidimensional Expressions (MDX) is a query language for online analytical processing (OLAP) using a database management system.
In econometrics, a multidimensional panel data is data of a phenomenon observed over three or more dimensions.
Online analytical processing, or OLAP, is an approach to answering multi-dimensional analytical (MDA) queries swiftly in computing.
In statistics and econometrics, panel data or longitudinal data are multi-dimensional data involving measurements over time.
A pivot table is a table that summarizes data from another table, and is made by applying an operation such as sorting, averaging, or summing to data in the first table, typically including grouping of the data.
A relational database is a digital database based on the relational model of data, as proposed by E. F. Codd in 1970.
A spreadsheet is an interactive computer application for organization, analysis and storage of data in tabular form.
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.