Are you ready to harness the full potential of Google Sheets for age analysis reporting? Look no further! In this step-by-step guide, we’ll delve into the secrets of using the QUERY function in Google Sheets. With this technique, you’ll be able to effortlessly generate an age analysis report, allowing you to stay on top of due payments and monitor aging with utmost precision.
Auto Generate Age Analysis Using QUERY Function in Google Sheets
Before we dive into the nitty-gritty of the process, let’s familiarize ourselves with some sample data that we’ll be working with. Take a look at the image below:
To ensure seamless data analysis, it’s crucial that your data is formatted appropriately. If your data doesn’t match the sample format, I recommend making modifications accordingly. However, for the purpose of learning this technique, you can create sample data in a new sheet.
The age analysis report classifies invoice values based on their aging, such as current, 30 days, 60 days, 90 days, or longer periods. This classification system enables you to effortlessly identify and monitor due payments in line with your agreed payment terms with customers or clients.
Sample: Age Analysis Using QUERY Function
Let’s take a sneak peek at a sample aging analysis report generated using the QUERY function. Please note that I’ve focused solely on the data and formula parts, without placing much emphasis on formatting. Feast your eyes on the glory of data-driven insights!
Steps Involved in Creating an Age Analysis Report Using The QUERY Function in Google Sheets
To generate an age analysis report using the QUERY function, we first need to add two additional columns to our sample data. These columns are indispensable for our calculations. Here’s a screenshot that illustrates the necessary changes:
In the above screenshot, you’ll notice the addition of Columns E and F. Check out Cell E2, which contains the following DATEDIFF formula:
=DATEDIF(C2, TODAY(), "D")
Now, in Cell F2, enter the following formula that utilizes the mighty IF Logical Function in Google Sheets:
=IF(E2<30, "[1] Current", IF(AND(E2>=30, E2<60), "[2] 30 days", IF(AND(E2>=60, E2<90), "[3] 60 days", "[4] 90 days Above")))
Once you’ve entered these formulas, simply copy and paste them downwards for the rest of your data.
Now, we’re finally ready to unveil the magic of the QUERY formula and create an age analysis report. You can use the following formula on a new tab or the same sheet to instantly generate the age-wise report:
={QUERY('Pivot Table'!A1:F10, "Select B,C, sum(D) group by B,C pivot F", 1); "Total >>", "", TRANSPOSE(QUERY('Pivot Table'!A1:F10, "Select sum(D) group by F label Sum(D)''", 1))}Explanation to the Above Google Sheets Age Analysis Formula
The formula we’ve unleashed above uses the Pivot Query Clause to materialize an age-wise analysis report, packed with insights that will revolutionize your understanding of data. Let’s dig into its intricacies:
The formula consists of two parts joined by curly brackets. The first part, the Query formula, works its magic and generates the Ageing Analysis Report. The second part takes care of creating a total row at the bottom of the query report.
If you’re itching to dive even deeper into the potential of the QUERY function, I strongly recommend checking out the following Google Sheets guides on Crawlan.com:
To further illuminate the path to enlightenment, I’ve also prepared an example sheet of Age Analysis where I’ve applied the above formulas. Feel free to make a copy of the file from the File menu and use it as a template for your very own analysis. And remember, if you stumble upon any doubts or questions, don’t hesitate to leverage the comment box below the article.
Now, go forth and unleash the true power of the QUERY function in Google Sheets. Sail through the data-driven seas and uncover valuable insights effortlessly, armed with nothing but your trusty spreadsheets.
Age Analysis Using Query – Access Sheet
