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SharePoint 2010, SharePoint Foundation, WSS, and MOSS are examples of widely implemented SharePoint editions that graphically display data stored in SharePoint document libraries and lists. The data may be configured in a variety of views and chart types with standard and custom features. [2]
SharePoint Central Administration (the CA) is a web application that typically exists on a single server in the farm; however, it is also able to be deployed for redundancy to multiple servers. [20] This application provides a complete centralized management interface for web and service applications in the SharePoint farm, including Active ...
Power Query is built on what was then [when?] a new query language called M.It is a mashup language (hence the letter M) designed to create queries that mix together data. It is similar to the F# programming language, and according to Microsoft it is a "mostly pure, higher-order, dynamically typed, partially lazy, functional language."
OLAP tools enable users to analyse multidimensional data interactively from multiple perspectives. OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing. [6]: 402–403 Consolidation involves the aggregation of data that can be accumulated and computed in one or more dimensions. For ...
[1] [2] [3] Typically a DCS displays a form that accepts data input from a user and then validates that input prior to committing the data to persistent storage such as a database. Many computer systems implement data entry forms, but data collection systems tend to be more complex, with possibly many related forms containing detailed user ...
Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation .
There are many ways to analyse such data set. One way suggested by MFA is to consider each day as a group of variables in the analysis of the tables (each table corresponds to one date) juxtaposed row-wise (the table analysed thus has rows and x columns).
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space .