The old word angro, sometimes used in the Serbian language, comes from the French term “en gros” which means “in gross”, “wholesale” … It served me as the inspiration for the title, and in the text I want to show you advanced possibilities when using the SUM function. Let’s see in what, not very common, ways we can give it arguments and summarize the data.
If you are a wholesaler or distributor, you will often form more price lists for different groups of partners, which can be retail, wholesale, hotels and restaurants… Wouldn’t it be a good idea to keep all your product and price information in one table and print it, by desired criteria, when needed for each specific customer? Let’s see the practical application of the Advanced Filter option…
With the exception of the IF function, Excel has multitude of logical functions that are often unfairly neglected. The AND, OR, and XOR functions are also used to test the one or more conditions. The first returns TRUE if all conditions are met, the second if at least one of the conditions is met, and the third is used to examine cases where at least one but not all conditions are met. These functions can be used to analyze student performance on exams.
When analyzing sales, we will often come across data series that would be convenient to display using a Stacked Column or Stacked Bar chart, but due to their nature this is not a good solution. For example, if we have a production cost and a sales price, we need to calculate the price difference in order to show the production price and the price difference as two complementary series on the chart; their sum is, it is easy to see, the sales price. Can we create such chart without additional calculation?
The FILTER function can also contain multiple criteria, and if we want to consider them all at the same time, they must be in parentheses, separated by an asterisk. This is a convenient way to filter sales results by date, and set the criterion by changing the year and month values from the drop-down list we have created by using Data Validation option.