When we are done with this exercise, we are going to hide the helper columns to make the spreadsheet easier for other people to read. It’s called a “helper” column, because while it helps get the result you need in the final column, it’s usually not useful by itself. To make the process simpler and make the formulas easier to understand, we’re going to use a number of helper columns to spread out the work and simplify the logic involved.Ī helper column is a column that calculates a number for use in other formula cells. ![]() We are going to add Week-To-Date, Month-To-Date, and Year-To-Date columns to this spreadsheet. We already have a % Completed column that is re-calculated for each day. There’s a row for each day with a date stamp, a list of tasks available and tasks completed. We seem to be looking at a basic date series. Let’s learn how to implement X-To-Date aggregate statistics using helper columns, Excel date functions, and SUMIFS. Aggregate statistics like Week-To-Date, Month-To-Date, and Year-To-Date performance data can often be easier to read and tell you more about what’s actually going on. It is difficult to tell, at a glance, whether performance indicators are trending upwards, downwards, speeding up, or slowing down. When you are working with date-stamped data imports, the volume of information can be overwhelming. 9 Aggregate Statistics X-To-Date Example.7Adding a Helper Column for Year-To-Date.6Calculating Month-To-Date using SUMIFS.5Adding Helper Columns for Month-To-Date.3Adding Helper Columns for Week-To-Date.
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