Grouping Dates with Pivot Tables

I am not a gambling man. But if I were, I’d bet a million dollars that you will never ever grasp all that Microsoft Excel has to offer.  Fine with me because that means we can learn something new just about every day.  Pivot Tables provide a perfect example.

Pivot Table Basics

I’v raved about Pivot Tables in the past , praising the power and flexibility of this Excel feature.  In literally seconds, you can slice and dice data any way you wish to see just the data you need to make informed decisions.  (See prior post on Pivot Tables)

The journey between just learning about Pivot Tables and being able to effectively implement and use them is indeed a short one.  But take just a few more steps and you’ll find additional ways to save time, while adding helpful details to your information and analysis.  Let’s say, for example your company keeps records for each sales transaction.  A simplified table might include the name of the salesperson along with the date and amount of the transaction.

Using just the basic elements of Pivot Tables, one can easily produce a table showing the total sales for each date and each salesperson. (See Illustration).  But having data laid out in this manner is not completely helpful.  A better way to group the information might be by year, quarter, or month.  Or all three.  There are, of course, many ways to add those levels of grouping when producing this pivot table.  Those new to Pivot Tables might add columns to the raw data, converting the date to columns for the month (using the month() function), year (using the year() function), and quarter (applying the roundup() function to a simple equation: monthNumber/3- see :What Quarter is It?).  Even adding one for the week wouldn’t be that difficult. Read more of this post

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YOY Comparison for Most Recent Days

Comparing Same Day Sales YOY

In my last post, Showing Activity for Most Recent Days, I showed you how to find the most recent date for which you have “totals” data.  We found that whether it’s support calls or sales made each day, being able to retrieve this information quickly and efficiently can be extremely helpful.   By using the ROUNDDOWN AND MAX functions, as well as the very powerful SUMPRODUCT,  we were able to create a quick summary of the most recent days’ activity. The obvious next question?  How do those days compare with the same time last year.  In other words, using the most recent data, how are things going compared to last year?

We already have the first several pieces of the puzzle, the current year’s sales information.  To compare the data to last year, we simply find the totals for the same dates in the previous year.  We can determine these dates these dates fairly easy by using the CONCATENATE formula, along with the popular and well known MONTH and YEAR formulas. Read more of this post