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In data transformation you write custom javascript function (or lambda). This functions accepts only one parameter which is an array of rows. Each row has properties with names corresponding to a selected data columns names.
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// example of a function
function addAdditionalDimension(data) {
return data.map(row => {...row, newDimension: row.columnA + row.columnB})
} |
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// example of a lambda
data => data.map(row => {...row, newDimension: row.columnA + row.columnB}) |
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// another example of injecting additional row
function addMissingRow(data) {
const missingRow = {...};
data.push(missingRow);
return data;
} |
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