DAX Formula and KPI Creation

Step 1: Creating a Data Table

To create a dataset with columns A, B, C, D, and E, each containing the value 5 in both rows, you can use the following DAX formula to define a calculated table:

DataTable = 
DATATABLE(
    "A", INTEGER,
    "B", INTEGER,
    "C", INTEGER,
    "D", INTEGER,
    "E", INTEGER,
    {
        { 5, 5, 5, 5, 5 },
        { 5, 5, 5, 5, 5 }
    }
)

Explanation

• DATATABLE Function: This function is used to create a table with specified columns and data types.
• Column Definitions: Each column (A to E) is defined as an INTEGER.
• Data Insertion: The values listed within curly braces are the rows of data being inserted into the table.

Step 2: Creating KPIs

Based on the created DataTable, here are five possible KPIs (Key Performance Indicators):

KPI 1: Sum of Column A

Sum_A = SUM(DataTable[A])

Explanation

• SUM Function: This function calculates the total sum of all values in Column A.

KPI 2: Average of Column B

Average_B = AVERAGE(DataTable[B])

Explanation

• AVERAGE Function: This function computes the average of all values in Column B.

KPI 3: Minimum of Column C

Min_C = MIN(DataTable[C])

Explanation

• MIN Function: This function returns the smallest value found in Column C.

KPI 4: Maximum of Column D

Max_D = MAX(DataTable[D])

Explanation

• MAX Function: This function retrieves the largest value from Column D.

KPI 5: Count of Rows

Row_Count = COUNTROWS(DataTable)

Explanation

• COUNTROWS Function: This function counts the number of rows present in DataTable.

Summary of KPIs

This succinctly defines the creation of a dataset with equal values and provides various KPIs that can be derived from it for analytical purposes. Each KPI formula quantifies a specific aspect of the dataset, providing valuable insights when used in reports or dashboards.