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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.
Passer rating (also known as passing efficiency in college football) is a measure of the performance of passers, primarily quarterbacks, in gridiron football. [1] There are two formulas currently in use: one used by both the National Football League (NFL) and Canadian Football League (CFL), and the other used in NCAA football.
Many stock indexes are calculated as a price return index and a total return index as well: The US stock index S&P 500 [3] is an example of a price return index and the German stock market index DAX [4] is an example of a total return index.
The L-DAX Index is an indicator of the German benchmark DAX index's performance after the Xetra trading venue closes based on the floor trading at the Börse Frankfurt trading venue. The L-DAX Index basis is the "floor" trade (Parketthandel) at the Frankfurt stock exchange; it is computed daily between 09:00 and 17:45 Hours CET. [3]
Power Pivot supports the use of expression languages to query the model and calculate advanced measures. Pivot tables or pivot charts may be used to explore the model once built. It is available as an add-in in Excel 2010, as a separate download for Excel 2013, and is included by default since Excel 2016.
Several measures of statistical dispersion are defined in terms of the absolute deviation. The term "average absolute deviation" does not uniquely identify a measure of statistical dispersion, as there are several measures that can be used to measure absolute deviations, and there are several measures of central tendency that can be used as well.
where is yearly gross contribution per customer, is the (relevant) retention costs per customer per year (this formula assumes the retention activities are paid for each mid year and they only affect those who were retained in the previous year), is the horizon (in years), is the yearly retention rate, is the yearly discount rate.
The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes. [1] While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions.