mteb/BrightProStackoverflowRetrieval huggingface dataset:
1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  | 
    
    
    <!doctype html><html lang="en"><head>  <meta charset="utf-8">  <title>css demo</title>  <style>  div {    width: 20px;    height: 15px;    background-color: #f33;  }  </style>  <script src="https://code.jquery.com/jquery-3.7.0.js"></script></head><body> <div>click</div><div>click</div> <script>$( "div" ).on( "click", function() {  $( this ).css({    width: function( index, value ) {      return parseFloat( value ) * 1.2;    },    height: function( index, value ) {      return parseFloat( value ) * 1.2;    }  });});</script> </body></html>  
  
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LOOKUPVALUE (
        'Currency Rate'[Average Rate],
        'Currency Rate'[CurrencyKey], [CurrencyKey],
        'Currency Rate'[DateKey], [OrderDateKey]
    )
    
    

Both the Order Date and Currency are required to find the Average Rate for the
correct date and currency. OrderDateKey and CurrencyKey are the keys used to
look up the Average Rate in the Currency Rate table.

You can use the Exchange Rate to calculate the Sales Amount in local currency
with:

    
    
    Sales Amount Local Currency = [Sales Amount] * [Exchange Rate]
    
    

##  Example 2

In this example, the following calculated column defined in the **Sales**
table uses the LOOKUPVALUE function to return channel values from the **Sales
Order** table.

    
    
    CHANNEL = 
    LOOKUPVALUE (
        'Sales Order'[Channel],
        'Sales Order'[SalesOrderLineKey],
        [SalesOrderLineKey]
    )
    
    

However, in this case, because there is a relationship between the **Sales
Order** and **Sales** tables, it's more efficient to use the [ RELATED
](related-function-dax) function.

    
    
    CHANNEL = RELATED('Sales Order'[Channel])
    

##  Related content

[ RELATED function (DAX) ](related-function-dax)  
[ Information functions ](information-functions-dax)

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e   
1000  |  Par value   
2  |  Frequency is semiannual (see above)   
0  |  30/360 basis (see above)   
  
###  Example 1

The following DAX query:

    
    
    EVALUATE
    {
      ACCRINT(DATE(2007,3,1), DATE(2008,8,31), DATE(2008,5,1), 0.1, 1000, 2, 0)
    }
    

Returns the accrued interest from issue to settlement, for a security with the
terms specified above.

**[Value]**  
---  
116.944444444444  
  
###  Example 2

The following DAX query:

    
    
    EVALUATE
    {
      ACCRINT(DATE(2007,3,1), DATE(2008,8,31), DATE(2008,5,1), 0.1, 1000, 2, 0, FALSE)
    }
    

Returns the accrued interest from first_interest to settlement, for a security
with the terms specified above.

**[Value]**  
---  
66.9444444444445  
  
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