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2. Template:Data visualization - Wikipedia

   en.wikipedia.org/wiki/Template:Data_Visualization

   Part of a series on Statistics: Data and information visualization; Major dimensions; Exploratory data analysis; Information design; Interactive data visualization

3. Link analysis - Wikipedia

   en.wikipedia.org/wiki/Link_analysis

   Knowledge discovery is an iterative and interactive process used to identify, analyze and visualize patterns in data. [1] Network analysis, link analysis and social network analysis are all methods of knowledge discovery, each a corresponding subset of the prior method.

4. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

5. Data architecture - Wikipedia

   en.wikipedia.org/wiki/Data_architecture

   A data architecture, in part, describes the data structures used by a business and its computer applications software. Data architectures address data in storage, data in use, and data in motion; descriptions of data stores, data groups, and data items; and mappings of those data artifacts to data qualities, applications, locations, etc.

6. Spreadsheet - Wikipedia

   en.wikipedia.org/wiki/Spreadsheet

   Example of a spreadsheet holding data about a group of audio tracks. A spreadsheet is a computer application for computation, organization, analysis and storage of data in tabular form. [1] [2] [3] Spreadsheets were developed as computerized analogs of paper accounting worksheets. [4] The program operates on data entered in cells of a table.

7. Data modeling - Wikipedia

   en.wikipedia.org/wiki/Data_modeling

   Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the ...