We have been working hard so that you can now create your own custom measures within Insights.
In order to use this feature easily, bring all the columns you need in the Data Area. Then click on the Calculations Tab where you can use any of the below operators to build your own measure.
Now give your measure a name
Then select what format is the measure. Is it a decimal value or a currency value or a percentage value.
Now start typing the columns you want to use in your calculation.
Once the formula is set you can save this Table Calculations.
Once you save the Table calculations you will be able to see the green columns in the Report which indicate they are custom measures.
If you save this Report/Dashboard in group Reports/Dashboards other Insights users will also be able to access this custom measure created by you.
You can add more than 1 Table Calculation in a Report by adding more Table calculations.
Check out this handy video for more details: VIDEO : Custom Measures
For more Advanced functionality check out this video : Offset Measures
Operators that can be used are as follows :
|
Operator |
Syntax |
Purpose |
|
+ |
value_1 + value_2 |
Adds value_1 and value_2. |
|
- |
value_1 - value_2 |
Subtracts value_2 from value_1. |
|
* |
value_1 * value_2 |
Multiplies value_1 and value_2. |
|
/ |
value_1 / value_2 |
Divides value_1 by value_2. |
|
= |
value_1 = value_2 |
Returns Yes if value_1 is equal to value_2, and No otherwise. |
|
!= |
value_1 != value_2 |
Returns Yes if value_1 is not equal to value_2, and No otherwise. |
The following comparison operators only can be used with numbers and dates:
|
Operator |
Syntax |
Purpose |
|
> |
value_1 > value_2 |
Returns Yes if value_1 is greater than value_2, and No otherwise. |
|
< |
value_1 < value_2 |
Returns Yes if value_1 is less than value_2, and No otherwise. |
|
>= |
value_1 >= value_2 |
Returns Yes if value_1 is greater than or equal to value_2, and No otherwise. |
|
<= |
value_1 <= value_2 |
Returns Yes if value_1 is less than or equal to value_2, and No otherwise. |
The following functions only can be used with strings:
|
Function |
Syntax |
Purpose |
|
concat |
concat(value_1, value_2, ...) |
Returns value_1, value_2, ..., value_n joined as one string. |
|
lower |
lower(string) |
Returns string with all characters converted to lowercase. |
|
upper |
upper(string) |
Returns string with all characters converted to uppercase. |
The following functions only can be used with dates:
|
Function |
Syntax |
Purpose |
|
diff_days |
diff_days(start_date, end_date) |
Returns the number of days between start_date and end_date. |
|
diff_hours |
diff_hours(start_date, end_date) |
Returns the number of hours between start_date and end_date. |
|
diff_minutes |
diff_minutes(start_date, end_date) |
Returns the number of minutes between start_date and end_date. |
|
diff_months |
diff_months(start_date, end_date) |
Returns the number of months between start_date and end_date. |
|
diff_seconds |
diff_seconds(start_date, end_date) |
Returns the number of seconds between start_date and end_date. |
|
diff_years |
diff_years(start_date, end_date) |
Returns the number of years between start_date and end_date. |
|
extract_days |
extract_days(date) |
Extracts the days from date. |
|
extract_hours |
extract_hours(date) |
Extracts the hours from date. |
|
extract_minutes |
extract_minutes(date) |
Extracts the minutes from date. |
|
extract_months |
extract_months(date) |
Extracts the months from date. |
|
extract_seconds |
extract_seconds(date) |
Extracts the seconds from date. |
|
extract_years |
extract_years(date) |
Extracts the years from date. |
|
now |
now() |
Returns the current date and time. |
The following function is a row related offset function. See Dashboard Library -> Orders Reports.
|
Function |
Syntax |
Purpose |
|
offset |
offset(column, row_offset) |
Returns the value of row (n + row_offset) in column, where n is the current row number. |
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