Power BI offers the capability to show tables with alternating colored rows so to make it easier to read the content of a report.

You might want to use a similar alternate coloring style for a different purpose: highlighting all the lines of one same order. If you look carefully at the figure above, you can discover that there are indeed five orders visible, each with one or more products. But there is no visual indication of the rows belonging to the same order. A better format using alternate background colors would be the following.

The background color of the rows depends on *Sales[Order Number]*. The background color switches between white and light gray every time the order number changes, so all the rows of the same order have the same background color and can be easily identified. You cannot obtain this visualization by only using a Power BI style, because the coloring of a row depends on the actual data in it. You can achieve this goal by using the conditional formatting feature in Power BI. You can set the background color of a cell according to the value of a measure. Therefore, you need a DAX formula that returns two values: one for the white rows and one for the gray rows. The value returned by the measure must alternate between those two values with each consecutive order number.

A possible (but incomplete) solution would be a measure that returns 0 for even order numbers and 1 for odd order numbers. However, this formula does not guarantee that the values are changing for every order. In case you filter two orders with an even number in a row, they would be colored the same. If you look at the figures, all order numbers are even! Nevertheless, the idea of using odd and even order numbers looks promising. We only need to transform the order number into an integer that increases by one for each order, regardless of the actual order number.

The RANKX function in DAX serves exactly this purpose. We can rank the rows in the report by their order number, and then color the table in the report depending on whether the rank is odd or even. Besides, due to its simplicity this formula is a perfect opportunity to expand on one of the lesser known arguments of RANKX: its third parameter.

Let us start with the code:

RankOrder = VAR OrderNumbers = -- By using ALLSELECTED ( Sales[Order Number] ) CALCULATETABLE ( -- we would get all the order numbers VALUES ( Sales[Order Number] ), -- if there were no explicit filter on the ALLSELECTED ( ) -- order numbers. Therefore, we use ) -- VALUES / ALLSELECTED to reduce the number of orders -- evaluated in the ranking. VAR CurrentOrder = SELECTEDVALUE ( Sales[Order Number] ) VAR Result = IF ( HASONEVALUE ( Sales[Order Number] ), -- Check that only one order is visible. RANKX ( OrderNumbers, -- Table to build the lookup values. Sales[Order Number], -- Expression to use during the iteration. CurrentOrder, -- Value to rank. We must use SELECTEDVALUE ASC -- to retrieve the current row in the report. ) ) RETURN Result

The *OrderNumbers* variable stores the order numbers that are visible in the table visualization. Be mindful that we did not use *ALLSELECTED( Sales[Order Number] )* because it would return all the values of the *Sales[Order Number]* column. Indeed, ALLSELECTED as a table function returns the filtered values only if the column is being actively filtered. We retrieve the order numbers visible in the current visual by using the VALUES function evaluated with ALLSELECTED as a CALCULATE modifier.

The *CurrentOrder* variable is important too. Each row of the table visual is showing exactly one order number. Therefore, each cell has a filter context that filters exactly one order. In this scenario, SELECTEDVALUE returns the value of the order number currently being filtered. You cannot omit SELECTEDVALUE, because the *Sales[Order Number]* column reference alone requires a row context which is not present in our formula.

The *Result* variable evaluates the ranking if and only if there is only one order number visible, to avoid any calculation for the total and for any subtotal that groups two or more orders. If there is only one order in the filter context, then RANKX provides the ranking.

If you have used RANKX in the past, you were likely ranking a measure like *Sales Amount*. When you apply RANKX to a measure, you typically only use the first two arguments of RANKX. RANKX evaluates the measure during the iteration over the table provided in the first argument; because of the context transition, RANKX evaluates the expression of the measure in a filter context obtained by the row being iterated. After the iteration, RANKX re-evaluates the same measure in the original filter context to obtain the value to rank.

In our case, we are ranking a column value and not the result of a measure. Therefore, we do not rely on a context transition. During the iteration, RANKX evaluates the *Sales[Order Number]* expression within a row context corresponding to the row being iterated. At the end of the iteration, RANKX must obtain the value to rank, but can no longer use the *Sales[Order Number]* expression because the row context is missing in the original evaluation context.

The third argument of RANKX is now useful: RANKX uses the third argument to get the value to rank. If the third argument is missing, RANKX evaluates the same expression passed in the second argument in the original evaluation context, which is why you have probably never used it. In our example, we provide *CurrentOrder* as the third argument of RANKX, getting the rank of the order number displayed in the report.

You can see the result of the *RankOrder* measure in the following picture.

*RankOrder* is a number increasing by one each time the row shows a different order number, regardless of the actual *Order Number* value. We can create the *BandNumber* measure to transform this number into 0 or 1:

BandNumber := MOD ( [RankOrder], 2 )

The *BandNumber* measure is easy to use in the conditional formatting options of Power BI to change the background of all the columns you want to format. Unfortunately, you have to apply this format to every column shown in the visual because it is not possible to set conditional formatting for the entire row.

The report now shows alternate colors depending on the order number. You can hide the *RankOrder* and *BandNumber* measures; indeed, they are just internal measures whose sole purpose is to improve data visualization.

As you see, DAX is not only useful to compute super-complex expressions. You can also rely on DAX to format your report the way you like, by combining the power of DAX with the flexibility of conditional formatting.