The Add Column and Edit Column Pipeline steps allow you to use formulas to transform your data. You can either use one of our built-in formulas as-is, or write your own formula using the Custom formula option.
Note: If you aren’t seeing a formula type you expect to see for an existing column, check the column’s data type. Some formulas are only available for numeric columns.
Tip: When dividing integers, be sure to multiply the top value by 1.0 to convert your results to a decimal. For example:
(1.0 * "Count of Clicks")/"Ad Cost"
|Single Row Operations||Multi Row Operations||Custom|
|Column Ratio||Aggregation||Custom Formula|
|Multiply||Ratio of Total|
|Total Column Sum|
|Create Link with Title|
Single Row Operations
Easily divide one column by another to get a ratio. Integers are auto-converted to decimals to ensure decimal accuracy.
Used to specify decimal precision, useful for force-formatting currency. Format returns a string, not an integer. Therefore, it is best used in table charts or Single Value charts.
Round is used to round to a specific number of decimal places.
Note: You cannot round a number to a higher decimal precision than it already has. For example, you cannot round the integer 10 to have two decimal places.
Add a numerical value to a column. Enter a column name to add a column value instead.
Subtract a value from a column. You may also subtract a column from another column.
Multiply a column by a value, or by another column.
Divide a column by a value, or by another column.
Calculate the amount of time between two dates. Choose which time unit the value is calculated in: days, weeks, months, etc.
Total Column Sum
Creates a new column where each value is a sum of its row.
Create Link with Title
Takes a URL column and a text column and generates a markdown link that’s clickable from your table chart, using the text column as the link title.
Useful for creating short, easily parsable links.
Select a specific part of a string and either make the substring a new column (Add Column step) or replace the existing column data (Edit Column step). Choose the starting index (1 starts with the first letter), and then choose either a length or check “To the end” to include all characters to the end of the string.
Multi Row Operations
Creates a new column with an aggregation value of another column. Choose from AVG, COUNT, MAX, MEDIAN, MIN, or SUM.
Useful for applying calculations to a column that involve an aggregated value. For example, use SUM aggregation, then Column Ratio in the Add Column pipeline step to determine a column value’s percentage of the total column.
Access data from a previous row in the same column. Row offset defines how many rows back you want to use.
Generates a series of averages of your data to create a smooth trend line. Trailing rows is the number of previous rows to include in each row’s average.
Cumulative sum of all previous results of a column.
Determines percent change between current and previous row.
Ratio of Total
Displays each row’s value as a ratio of the column sum.
Determines the percentile of each value in a numeric column. For example, a value is at the 50th percentile if half of the values in the column are less than or equal to it.
Perform basic calculations on your column, or combine one or more of our formulas as needed. SQLite functions are also supported. See the SQLite documentation for the full list of core functions, aggregate functions, and date and time functions available.
acos, asin, atan, atn2, atan2, acosh, asinh, atanh, difference, degrees, radians, cos, sin, tan, cot, cosh, sinh, tanh, coth, exp, log, log10, power, sign, sqrt, square, ceil, floor, pi
replicate, charindex, leftstr, rightstr, ltrim, rtrim, trim, replace, reverse, proper, padl, padr, padc, strfilter
stdev, variance, mode, median, lower_quartile, upper_quartile
In the formulas below, units can be one of the following: day, month, year, hour, minute, second, quarter (datepart() only), dayofyear (datepart() only). For more details on these date functions, check out Date and Datetime functions in the Data Pipeline page.