What is DAX Query and How is it Helpful?

What is DAX Query and How is it Helpful?

DAX refers to Data Analysis Expressions i.e. such expressions or formulas which are used for data analysis and calculations. These expressions are the collection and combination of functions, operators, and constants which are evaluated as one formula to extract the results (value or values).

DAX formulas are very useful in Business Intelligence tools like Microsoft Power BI as they help the data analysts to use the data sets they have to the fullest potential.

With the help of the DAX language, analysts can discover different new ways of calculating data values they have and come up with the new outcomes.

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Know more about DAX concepts: • DAX is a functional language i.e., its absolute code is always a function. A feasible DAX expression contains conditional statements, nested functions, value references, etc.

• DAX formulae have two primary data types; Numeric and Non-numeric or Others. The numeric data type includes integers, decimals, currency, etc. Whereas, the non-numeric comprises of strings and binary objects.

• DAX expressions are classified from the innermost function going to the outermost one at the last.

This makes composing of a DAX formula important.

• You can use values of mixed data types as inputs in a DAX formula and the conversion will take place automatically during execution of the formula. The output values will be converted into the data type you have given for the DAX formula.

Why DAX is Important?

Making reports using the functionalities of the data importation, transformation and visualisation is a smooth experience. A user needs to have basic knowledge of the tools to create a decent report with all the available data. But, if you want to achieve a level up and use advanced calculations in your reports, you need to have the knowledge of DAX. For instance you want to make a visualisation report to analyse the percentage of growth over the different states of a country or you want to compare year-after-year growth or sales. The data fields which you have imported in a data table are generally not enough for the goal you want to achieve.

For these needs, you need to build new measures using DAX language. In this way, you can create new measures, use them for creating exclusive visualizations, and have unique perceptions into the data. With such unique perceptions into the data, you can have fixing solutions for the business problems that you might miss with the usual way of analysis. Thus, DAX makes data analysis a smart and an intelligent approach.

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DAX Formula – Syntax The initial and the most crucial step in learning any language is to break it down into conclusive elements and understanding the elements. And, this is why we study the syntax of a language. Given below is an example of the DAX formula.

Types of Calculations in DAX Evidently, the DAX formulas can also be called as calculations as they calculate an given value and return the desired value. We can create two types of expressions or calculations using DAX ; calculated columns and calculated measures.

Calculated Columns: The calculated columns create a new column in the existing table. The only difference between a regular column and a calculated column is that it is required to have at least one function in the calculated column. This calculated column is used when you want to create a column with filtered or sorted information.

Calculated Measures: A calculated measure creates a field having aggregated values such as sum, ratios, percentages, averages, etc.

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Functions in DAX A DAX function is a pre-determined formula which performs the calculations on the values provided to it in arguments. The arguments during a function got to be during a particular order and may be a column reference, numbers, text, constants, another formula or function, or a logical value such as TRUE or FALSE. Every function performs a particular operation on the values encompassed in an argument. You can use quite one argument during a DAX formula.

Context of DAX The concept of DAX context is crucial in gaining a complete understanding of DAX language and how it works. There are two sorts of DAX contexts; Row context and Filter context.

Row context: means taking under consideration a selected row that has been filtered during a DAX expression. The row context focuses on the operation of the formula on the present row. This type of context is most frequently applied to the measure rows.

Filter context: focuses on values one step ahead. In row context, we use filtering out and applying operations on specific rows. But in filter context, the expression applies a filter to specialise in specific values within a row. Thus, the filter context is applied in addition to the row context to narrow down the scope of calculation to specific values. Filter context is applied once we use functions like CALCULATE, FILTER, RELATED, ALL, etc.

We hope this blog have helped you all enough with basic knowledge of DAX formulas. You can create any logically sound DAX formula by using the existing columns and tables in your tool to make more effective reports.

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