![]() ![]() The change to the formula can be seen in green here: If we divide the formula into the number 1, we will get fractions in each of those cells that when added together will count one entry for each deal. The formula will return the number of rows for each Deal ID number. Use the COUNTIF function, with the range being the Deal ID column, and the criteria being the cell in the Deal ID column that corresponds with the row you are in. Now that your data is in Table format, add a helper column to the right of the table and label it Deal Count. Hit OK when the Format as Table window appears. Right-click on the table format you want and select Apply and Clear Formatting. To do that, just select any cell in the data set, and click on Format as Table on the Home tab. Start by turning your data into an Excel Table. The great thing about this solution is that it can be used in any version of Excel. ![]() ![]() So we have to find a way to create a distinct count (counting unique rows) for each deal so that we can sum them up.īy the way, thank you to anyone who submitted a solution to the data challenge! There were a lot of great submissions. To summarize the challenge, we want to create a summary report of deal count by stage, but there are multiple rows per deal in the CRM data. ![]() These two methods were submitted as solutions to the data analysis challenge that you can find here: In this post, we're going to take a look at two different ways to do a distinct count using pivot tables. Data-Analysis-Challenge-Pivot-Table-Solution-FINAL.xlsx Download Counting Unique Rows ![]()
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