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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.
An on-premises Power BI is a reporting product for companies that choose not to store data in the cloud-based Power BI Service. Power BI Premium Capacity-based offering that includes flexibility to publish reports broadly across an enterprise without requiring recipients to be licensed individually per user.
When creating a data-set of terms that appear in a corpus of documents, the document-term matrix contains rows corresponding to the documents and columns corresponding to the terms. Each ij cell, then, is the number of times word j occurs in document i. As such, each row is a vector of term counts that represents the content of the document ...
Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record.
Word processors, spreadsheets, email and blog clients, personal information systems, and individual media editors may aid in multiple information worker tasks. Content access software is used primarily to access content without editing, but may include software that allows for content editing.
.doc (an abbreviation of "document") is a filename extension used for word processing documents stored on Microsoft's proprietary Microsoft Word Binary File Format; it was the primary format for Microsoft Word until the 2007 version replaced it with Office Open XML.docx files. [4] Microsoft has used the extension since 1983.
In predictive analytics, a table of confusion (sometimes also called a confusion matrix) is a table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives. This allows more detailed analysis than simply observing the proportion of correct classifications (accuracy).
For example, a file or string consisting of "hello" (in any encoding), following by 4 bytes that express a binary integer that is not a character, is a binary file. Converting a plain text file to a different character encoding does not change the meaning of the text, as long as the correct character encoding is used.