# Forex tamano de la calculo formula

For more information, see Roles. You can import data into a model from many different data sources that might support different data types. Al importar los datos en un modelo, se convierten a uno de los tipos de datos del modelo tabular.

When you import data into a model, the data is converted to one of the tabular model data types. When the model data is used in a calculation, the data is then converted to a DAX data type for the duration and output of the calculation. When you create a DAX formula, the terms used in the formula will automatically determine the value data type returned. Los modelos tabulares, y DAX, admiten tipos de datos siguientes: Tabular models, and DAX, support the following data types: Tabular models also include the Table data type as the input or output to many DAX functions.

For example, the FILTER function takes a table as input and outputs another table that contains only the rows that meet the filter conditions. By combining table functions with aggregation functions, you can perform complex calculations over dynamically defined data sets.

While data types are typically automatically set, it is important to understand data types and how they apply, in-particular, to DAX formulas. Errors in formulas or unexpected results, for example, are often caused by using a particular operator that cannot be used with a data type specified in an argument.

For detailed information about data types in tabular models and explicit and implicit conversions of data types in DAX, see Data Types Supported. The DAX language uses four different types of calculation operators in formulas: Arithmetic operators to perform arithmetic calculations that return numeric values.

Text concatenation operators to join two or more text strings. Logical operators that combine two or more expressions to return a single result. DAX formulas are essential for creating calculations in calculated columns and measures, and securing your data by using row level filters. To create formulas for calculated columns and measures, you will use the formula bar along the top of the model designer window or the DAX Editor. To create formulas for row filters, you will use the Role Manager dialog box.

Information in this section is meant to get you started with understanding the basics of DAX formulas.

DAX enables tabular model authors to define custom calculations in both model tables, as part of calculated columns, and as measures associated with tables, but not appearing directly in them. DAX also enables model authors to secure data, by creating calculations that return a Boolean value defining which rows in a particular or related table can be queried by member users of the associated role.

DAX formulas can be very simple or quite complex. The following table shows some examples of simple formulas that could be used in a calculated column. Whether the formula you create is simple or complex, you can use the following steps when building a formula: Each formula must begin with an equal sign. You can either type or select a function name, or type an expression. Begin to type the first few letters of the function or name you want, and AutoComplete displays a list of available functions, tables, and columns.

You can also click the Fx button to display a list of available functions. To select a function from the dropdown list, use the arrow keys to highlight the item, and click OK to add the function to the formula.

Supply the arguments to the function by selecting them from a dropdown list of possible tables and columns, or by typing in values. Compruebe si hay errores de sintaxis: Check for syntax errors: In a calculated column, as soon as you enter the formula and the formula is validated, the column is populated with values. If a formula is invalid, an error will be displayed. In this example, we will look at a more complex formula in a measure named Days in Current Quarter: This measure is used to create a comparison ratio between an incomplete period and the previous period.

The formula must take into account the proportion of the period that has elapsed, and compare it to the same proportion in the previous period. This formula contains the following elements: Both the formula bar in the model designer and the formula Row Filters window in the Role Manager dialog box provide an AutoComplete feature.

AutoComplete helps you enter a valid formula syntax by providing you with options for each element in the formula. You can use formula AutoComplete in the middle of an existing formula with nested functions.

The text immediately before the insertion point is used to display values in the drop-down list, and all of the text after the insertion point remains unchanged. AutoComplete does not add the closing parenthesis of functions or automatically match parentheses. You must make sure that each function is syntactically correct or you cannot save or use the formula.

You can nest functions, meaning that you use the results from one function as an argument of another function. Puede anidar hasta 64 niveles de funciones en columnas calculadas.

You can nest up to 64 levels of functions in calculated columns. However, nesting can make it difficult to create or troubleshoot formulas. Many functions are designed to be used solely as nested functions. These functions return a table, which cannot be directly saved as a result; it must be provided as input to a table function. Some limits are applied within measures on nesting of functions to ensure that performance is not affected by the many calculations required by dependencies among columns.

This section provides an overview of the types of functions supported in DAX. DAX provides a variety of functions you can use perform calculations using dates and times, create conditional values, work with strings, perform lookups based on relationships, and the ability to iterate over a table to perform recursive calculations.

If you are familiar with Excel formulas, many of these functions will appear very similar; however, DAX formulas are different in the following important ways: A DAX function always references a complete column or a table. If you want to use only particular values from a table or column, you can add filters to the formula.

If you need to customize calculations on a row-by-row basis, DAX provides functions that let you use the current row value or a related value as a kind of parameter, to perform calculations that vary by context. DAX incluye muchas funciones que devuelven una tabla, en lugar de un valor. DAX includes many functions that return a table, rather than a value. La tabla no se muestra en un cliente del informes, sino que se utiliza para proporcionar la entrada a otras funciones.

The table is not displayed in a reporting client, but is used to provide input to other functions. For example, you can retrieve a table and then count the distinct values in it, or calculate dynamic sums across filtered tables or columns.

Las funciones DAX incluyen una serie de inteligencia de tiempo funciones. DAX functions include a variety of time-intelligence functions. These functions let you define or select date ranges, and perform dynamic calculations based on these dates or range. For example, you can compare sums across parallel periods. Las funciones de fecha y hora en DAX son similares a las funciones de fecha y hora en Microsoft Excel.

The filter functions in DAX return specific data types, look up values in related tales, and filter by related values. The lookup functions work by using tables and relationships, like a database. The filtering functions let you manipulate data context to create dynamic calculations.

An information function looks at the cell or row that is provided as an argument and tells you whether the value matches the expected type. Logical functions act upon an expression to return information about the values in the expression. The mathematical functions in DAX are very similar to the Excel mathematical and trigonometric functions. Some minor differences exist in the numeric data types used by DAX functions.

These functions perform unique actions that cannot be defined by any of the categories most other functions belong to.

DAX provides statistical functions that perform aggregations. In addition to creating sums and averages, or finding the minimum and maximum values, in DAX you can also filter a column before aggregating or create aggregations based on related tables.

The text functions in DAX are very similar to their counterparts in Excel. Puede devolver parte de una cadena, buscar texto dentro de una cadena o concatenar valores de una cadena.

You can return part of a string, search for text within a string, or concatenate string values. DAX also provides functions for controlling the formats for dates, times, and numbers.

The time-intelligence functions provided in DAX let you create calculations that use built-in knowledge about calendars and dates. By using time and date ranges in combination with aggregations or calculations, you can build meaningful comparisons across comparable time periods for sales, inventory, and so on. Hay funciones DAX que generan tablas de salida, usan tablas como entrada, o ambas acciones. There are DAX functions that output tables, take tables as input, or do both. Because a table can have a single column, table-valued functions also take single columns as inputs.

Understanding how to use these table-valued functions is important for fully utilizing DAX formulas. DAX incluye los siguientes tipos de funciones con valores de tabla: DAX includes the following types of table-valued functions: Funciones de filtro -devuelven una columna, tabla o valores relacionados con la fila actual. Filter functions - Return a column, table, or values related to the current row.

Aggregation functions - Aggregate any expression over the rows of a table. Funciones de inteligencia de tiempo: Time-intelligence functions - Return a table of dates, or use a table of dates to calculate an aggregation. Context is an important concept to understand when creating formulas using DAX. Context is what enables you to perform dynamic analysis, as the results of a formula change to reflect the current row or cell selection and also any related data.

Understanding context and using context effectively are critical for building high-performing, dynamic analyses, and for troubleshooting problems in formulas.

Formulas in tabular models can be evaluated in a different context, depending on other design elements: Hay diferentes tipos de contexto: There are different types of context: If you create a formula in a calculated column, the row context for that formula includes the values from all columns in the current row.

If the table is related to another table, the content also includes all the values from the other table that are related to the current row. This formula automatically gets only the values from the current row in the specified columns. Row context also follows any relationships that have been defined between tables, including relationships defined within a calculated column by using DAX formulas, to determine which rows in related tables are associated with the current row.

For example, the following formula uses the RELATED function to fetch a tax value from a related table, based on the region that the order was shipped to. The tax value is determined by using the value for region in the current table, looking up the region in the related table, and then getting the tax rate for that region from the related table. This formula gets the tax rate for the current region from the Region table and adds it to the value of the Freight column.

In DAX formulas, you do not need to know or specify the specific relationship that connects the tables. DAX includes functions that iterate calculations over a table. Estas funciones pueden tener varias filas actuales, cada una con su propio contexto de fila. These functions can have multiple current rows, each with its own row context.

In essence, these functions let you create formulas that perform operations recursively over an inner and outer loop. Por ejemplo, suponga que un modelo contiene una tabla Products y una tabla Sales. For example, suppose your model contains a Products table and a Sales table. Users might want to go through the entire sales table, which is full of transactions involving multiple products, and find the largest quantity ordered for each product in any one transaction. With DAX you can build a single formula that returns the correct value, and the results are automatically updated any time a user adds data to the tables.

At all times, the function stores in memory two sets of context: DAX automatically feeds values between the two loops so that you can create complex aggregates. Query context refers to the subset of data that is implicitly retrieved for a formula. When a user places a measure or other value field into a PivotTable or into a report based on a tabular model, the engine examines the row and column headers, Slicers, and report filters to determine the context.

Then, the necessary queries are run against the data source to get the correct subset of data, make the calculations defined by the formula, and then populate each cell in the PivotTable or report. El conjunto de datos que se recupera es el contexto de la consulta para cada celda.

The set of data that is retrieved is the query context for each cell. For a model in DirectQuery mode, the context is evaluated, and then the set operations to retrieve the correct subset of data and calculate the results are translated to SQL statements. Those statements are then directly run against the relational data store. Therefore, although the method of getting the data and calculating the results is different, the context itself does not change.

Because context changes depending on where you place the formula, the results of the formula can also change. For example, suppose you create a formula that sums the values in the Profit column of the Sales table: If you use this formula in a calculated column within the Sales table, the results for the formula will be the same for the entire table, because the query context for the formula is always the entire data set of the Sales table.

Results will have profit for all regions, all products, all years, and so on. However, users typically don't want to see the same result hundreds of times, but instead want to get the profit for a particular year, a particular country, a particular product, or some combination of these, and then get a grand total.

In a PivotTable, context can be changed by adding or removing column and row headers and by adding or removing Slicers. Whenever users add column or row headings to the PivotTable, they change the query context in which the measure is evaluated.

Slicing and filtering operations also affect context. Therefore, the same formula, used in a measure, is evaluated in a different query context for each cell. El contexto de filtro es el conjunto de valores permitido en cada columna o en los valores recuperados de una tabla relacionada. Filter context is the set of values allowed in each column, or in the values retrieved from a related table.

Filters can be applied to the column in the designer, or in the presentation layer reports and PivotTables. Filters can also be defined explicitly by filter expressions within the formula. Filter context is added when you specify filter constraints on the set of values allowed in a column or table, by using arguments to a formula. El contexto del filtro se aplica sobre otros contextos, como el contexto de la fila o el de la consulta.

Filter context applies on top of other contexts, such as row context or query context. En los modelos tabulares hay muchas maneras de crear el contexto de filtro. In tabular models, there are many ways to create filter context. Within the context of clients that can consume the model, such as Power BI reports, users can create filters on the fly by adding slicers or report filters on the row and column headings. You can also specify filter expressions directly within the formula, to specify related values, to filter tables that are used as inputs, or to dynamically get context for the values that are used in calculations.

You can also completely clear or selectively clear the filters on particular columns. This is very useful when creating formulas that calculate grand totals. When you create a DAX formula, the formula is first tested for valid syntax, and then tested to make sure the names of the columns and tables included in the formula can be found in the current context.

If any column or table specified by the formula cannot be found, an error is returned. Context during validation and recalculation operations is determined as described in the preceding sections, by using the available tables in the model, any relationships between the tables, and any filters that have been applied. For example, if you have just imported some data into a new table and it is not related to any other tables and you have not applied any filters , the current context is the entire set of columns in the table.

You can either type or select a function name, or type an expression. Begin to type the first few letters of the function or name you want, and AutoComplete displays a list of available functions, tables, and columns. You can also click the Fx button to display a list of available functions.

To select a function from the dropdown list, use the arrow keys to highlight the item, and click OK to add the function to the formula. Supply the arguments to the function by selecting them from a dropdown list of possible tables and columns, or by typing in values. Compruebe si hay errores de sintaxis: Check for syntax errors: In a calculated column, as soon as you enter the formula and the formula is validated, the column is populated with values.

If a formula is invalid, an error will be displayed. In this example, we will look at a more complex formula in a measure named Days in Current Quarter: This measure is used to create a comparison ratio between an incomplete period and the previous period. The formula must take into account the proportion of the period that has elapsed, and compare it to the same proportion in the previous period.

This formula contains the following elements: Both the formula bar in the model designer and the formula Row Filters window in the Role Manager dialog box provide an AutoComplete feature. AutoComplete helps you enter a valid formula syntax by providing you with options for each element in the formula.

You can use formula AutoComplete in the middle of an existing formula with nested functions. The text immediately before the insertion point is used to display values in the drop-down list, and all of the text after the insertion point remains unchanged.

AutoComplete does not add the closing parenthesis of functions or automatically match parentheses. You must make sure that each function is syntactically correct or you cannot save or use the formula. You can nest functions, meaning that you use the results from one function as an argument of another function. Puede anidar hasta 64 niveles de funciones en columnas calculadas. You can nest up to 64 levels of functions in calculated columns.

However, nesting can make it difficult to create or troubleshoot formulas. Many functions are designed to be used solely as nested functions. These functions return a table, which cannot be directly saved as a result; it must be provided as input to a table function. Some limits are applied within measures on nesting of functions to ensure that performance is not affected by the many calculations required by dependencies among columns.

This section provides an overview of the types of functions supported in DAX. DAX provides a variety of functions you can use perform calculations using dates and times, create conditional values, work with strings, perform lookups based on relationships, and the ability to iterate over a table to perform recursive calculations. If you are familiar with Excel formulas, many of these functions will appear very similar; however, DAX formulas are different in the following important ways: A DAX function always references a complete column or a table.

If you want to use only particular values from a table or column, you can add filters to the formula. If you need to customize calculations on a row-by-row basis, DAX provides functions that let you use the current row value or a related value as a kind of parameter, to perform calculations that vary by context. DAX incluye muchas funciones que devuelven una tabla, en lugar de un valor. DAX includes many functions that return a table, rather than a value. La tabla no se muestra en un cliente del informes, sino que se utiliza para proporcionar la entrada a otras funciones.

The table is not displayed in a reporting client, but is used to provide input to other functions. For example, you can retrieve a table and then count the distinct values in it, or calculate dynamic sums across filtered tables or columns.

Las funciones DAX incluyen una serie de inteligencia de tiempo funciones. DAX functions include a variety of time-intelligence functions. These functions let you define or select date ranges, and perform dynamic calculations based on these dates or range.

For example, you can compare sums across parallel periods. Las funciones de fecha y hora en DAX son similares a las funciones de fecha y hora en Microsoft Excel. The filter functions in DAX return specific data types, look up values in related tales, and filter by related values.

The lookup functions work by using tables and relationships, like a database. The filtering functions let you manipulate data context to create dynamic calculations. An information function looks at the cell or row that is provided as an argument and tells you whether the value matches the expected type. Logical functions act upon an expression to return information about the values in the expression. The mathematical functions in DAX are very similar to the Excel mathematical and trigonometric functions.

Some minor differences exist in the numeric data types used by DAX functions. These functions perform unique actions that cannot be defined by any of the categories most other functions belong to. DAX provides statistical functions that perform aggregations. In addition to creating sums and averages, or finding the minimum and maximum values, in DAX you can also filter a column before aggregating or create aggregations based on related tables.

The text functions in DAX are very similar to their counterparts in Excel. Puede devolver parte de una cadena, buscar texto dentro de una cadena o concatenar valores de una cadena.

You can return part of a string, search for text within a string, or concatenate string values. DAX also provides functions for controlling the formats for dates, times, and numbers. The time-intelligence functions provided in DAX let you create calculations that use built-in knowledge about calendars and dates. By using time and date ranges in combination with aggregations or calculations, you can build meaningful comparisons across comparable time periods for sales, inventory, and so on.

Hay funciones DAX que generan tablas de salida, usan tablas como entrada, o ambas acciones. There are DAX functions that output tables, take tables as input, or do both.

Because a table can have a single column, table-valued functions also take single columns as inputs. Understanding how to use these table-valued functions is important for fully utilizing DAX formulas.

DAX incluye los siguientes tipos de funciones con valores de tabla: DAX includes the following types of table-valued functions: Funciones de filtro -devuelven una columna, tabla o valores relacionados con la fila actual.

Filter functions - Return a column, table, or values related to the current row. Aggregation functions - Aggregate any expression over the rows of a table. Funciones de inteligencia de tiempo: Time-intelligence functions - Return a table of dates, or use a table of dates to calculate an aggregation. Context is an important concept to understand when creating formulas using DAX.

Context is what enables you to perform dynamic analysis, as the results of a formula change to reflect the current row or cell selection and also any related data. Understanding context and using context effectively are critical for building high-performing, dynamic analyses, and for troubleshooting problems in formulas.

Formulas in tabular models can be evaluated in a different context, depending on other design elements: Hay diferentes tipos de contexto: There are different types of context: If you create a formula in a calculated column, the row context for that formula includes the values from all columns in the current row. If the table is related to another table, the content also includes all the values from the other table that are related to the current row. This formula automatically gets only the values from the current row in the specified columns.

Row context also follows any relationships that have been defined between tables, including relationships defined within a calculated column by using DAX formulas, to determine which rows in related tables are associated with the current row.

For example, the following formula uses the RELATED function to fetch a tax value from a related table, based on the region that the order was shipped to. The tax value is determined by using the value for region in the current table, looking up the region in the related table, and then getting the tax rate for that region from the related table.

This formula gets the tax rate for the current region from the Region table and adds it to the value of the Freight column.

In DAX formulas, you do not need to know or specify the specific relationship that connects the tables. DAX includes functions that iterate calculations over a table. Estas funciones pueden tener varias filas actuales, cada una con su propio contexto de fila. These functions can have multiple current rows, each with its own row context.

In essence, these functions let you create formulas that perform operations recursively over an inner and outer loop. Por ejemplo, suponga que un modelo contiene una tabla Products y una tabla Sales. For example, suppose your model contains a Products table and a Sales table. Users might want to go through the entire sales table, which is full of transactions involving multiple products, and find the largest quantity ordered for each product in any one transaction.

With DAX you can build a single formula that returns the correct value, and the results are automatically updated any time a user adds data to the tables. At all times, the function stores in memory two sets of context: DAX automatically feeds values between the two loops so that you can create complex aggregates. Query context refers to the subset of data that is implicitly retrieved for a formula. When a user places a measure or other value field into a PivotTable or into a report based on a tabular model, the engine examines the row and column headers, Slicers, and report filters to determine the context.

Then, the necessary queries are run against the data source to get the correct subset of data, make the calculations defined by the formula, and then populate each cell in the PivotTable or report. El conjunto de datos que se recupera es el contexto de la consulta para cada celda. The set of data that is retrieved is the query context for each cell. For a model in DirectQuery mode, the context is evaluated, and then the set operations to retrieve the correct subset of data and calculate the results are translated to SQL statements.

Those statements are then directly run against the relational data store. Therefore, although the method of getting the data and calculating the results is different, the context itself does not change. Because context changes depending on where you place the formula, the results of the formula can also change. For example, suppose you create a formula that sums the values in the Profit column of the Sales table: If you use this formula in a calculated column within the Sales table, the results for the formula will be the same for the entire table, because the query context for the formula is always the entire data set of the Sales table.

Results will have profit for all regions, all products, all years, and so on. However, users typically don't want to see the same result hundreds of times, but instead want to get the profit for a particular year, a particular country, a particular product, or some combination of these, and then get a grand total.

In a PivotTable, context can be changed by adding or removing column and row headers and by adding or removing Slicers. Whenever users add column or row headings to the PivotTable, they change the query context in which the measure is evaluated.

Slicing and filtering operations also affect context. Therefore, the same formula, used in a measure, is evaluated in a different query context for each cell. El contexto de filtro es el conjunto de valores permitido en cada columna o en los valores recuperados de una tabla relacionada. Filter context is the set of values allowed in each column, or in the values retrieved from a related table.

Filters can be applied to the column in the designer, or in the presentation layer reports and PivotTables. Filters can also be defined explicitly by filter expressions within the formula. Filter context is added when you specify filter constraints on the set of values allowed in a column or table, by using arguments to a formula.

El contexto del filtro se aplica sobre otros contextos, como el contexto de la fila o el de la consulta. Filter context applies on top of other contexts, such as row context or query context. En los modelos tabulares hay muchas maneras de crear el contexto de filtro. In tabular models, there are many ways to create filter context. Within the context of clients that can consume the model, such as Power BI reports, users can create filters on the fly by adding slicers or report filters on the row and column headings.

You can also specify filter expressions directly within the formula, to specify related values, to filter tables that are used as inputs, or to dynamically get context for the values that are used in calculations.

You can also completely clear or selectively clear the filters on particular columns. This is very useful when creating formulas that calculate grand totals.

When you create a DAX formula, the formula is first tested for valid syntax, and then tested to make sure the names of the columns and tables included in the formula can be found in the current context. If any column or table specified by the formula cannot be found, an error is returned.

Context during validation and recalculation operations is determined as described in the preceding sections, by using the available tables in the model, any relationships between the tables, and any filters that have been applied. For example, if you have just imported some data into a new table and it is not related to any other tables and you have not applied any filters , the current context is the entire set of columns in the table.

If the table is linked by relationships to other tables, the current context includes the related tables. If you add a column from the table to a report that has Slicers and maybe some report filters, the context for the formula is the subset of data in each cell of the report. Context is a powerful concept that can also make it difficult to troubleshoot formulas. We recommend that you begin with simple formulas and relationships to see how context works.

The following section provides some examples of how formulas use different types of context to dynamically return results. This lets you perform lookups. The example in this topic illustrates the interaction of filtering and row context. The examples in this topic also illustrate how to embed filters within other functions that perform aggregates. Puede utilizarlo para invalidar los filtros que se aplican como resultado del contexto de la consulta.

You can use it to override filters that are applied as result of query context. Both topics include examples that walk you through building formulas and understanding complex contexts. If you are new to these concepts, you should follow the steps in the example carefully to see how the inner and outer contexts are used in calculations. The model designer, in SSDT, is an area where you can work with multiple tables of data and connect the tables in a tabular model.

En este modelo, las tablas se unen mediante relaciones en columnas con valores comunes claves. Within this model, tables are joined by relationships on columns with common values keys. The tabular model lets you link values to columns in other tables and create more interesting calculations. Al igual que en una base de datos relacional, puede conectar muchos niveles de tablas relacionadas y usar columnas de cualquiera de las tablas en los resultados.

Just as in a relational database, you can connect many levels of related tables and use columns from any of the tables in the results. For example, you can link a sales table, a products table, and a product categories table, and users can use various combinations of the columns in PivotTables and reports. Related fields can be used to filter connected tables, or to create calculations over subsets.

If you are not familiar with relational database and working with tables and joins, see Relationships. Los modelos tabulares admiten varias relaciones entre tablas. Tabular models support multiple relationships among tables.

To avoid confusion or wrong results, only one relationship at a time is designated as the active relationship, but you can change the active relationship as necessary to traverse different connections in the data in calculations.

In a tabular model, you should observe these formula design rules: When tables are connected by a relationship, you must ensure that the two columns used as keys have values that match. Referential integrity is not enforced, however; therefore it is possible to have non-matching values in a key column and still create a relationship. If this happens, you should be aware that blank values or non-matching values might affect the results of formulas.