# Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Excel is a powerful tool that is widely used by data analysts to organize, analyze and present data in a meaningful way. One of the most common tasks that data analysts perform in Excel is to summarize data into meaningful statistics, such as the count of non-blank categories. This article will explain how to do this task in a simple and easy-to-understand way, without any complicated code.

First, let’s start by understanding what is meant by non-blank categories. In Excel, a category is a set of related data that can be found in a single column. For example, if you have a column that contains the names of different fruits, each fruit would be considered a separate category. A non-blank category is simply a category that has a value in it, as opposed to a blank or empty cell.

The first step to summarizing non-blank categories is to select the column that contains the categories you want to analyze. To do this, simply click on the letter at the top of the column to highlight the entire column.

Next, you will need to use a formula to count the number of non-blank categories. The formula you will use is called the “COUNTIF” formula. The COUNTIF formula is used to count the number of cells in a range that meet a certain criterion. In this case, the criterion will be that the cell is not blank.

To use the COUNTIF formula, first, click on an empty cell where you would like to see the result of the formula. Next, type in the formula “=COUNTIF(A1:A10,”<>”)”. In this example, the range “A1:A10” refers to the cells in the column that you want to count, and “<>” refers to the criterion that the cell should not be blank.

Once you have entered the formula, simply press enter, and you will see the result. The result will be the total number of non-blank categories in the column.

In conclusion, summarizing non-blank categories in Excel is a simple and straightforward task that can be accomplished using the COUNTIF formula. With a little bit of practice, you’ll be able to do this quickly and easily, without any complicated code. Whether you’re a seasoned data analyst or just starting out, Excel is a powerful tool that can help you organize, analyze, and present your data in a meaningful way.

# Excel Example for Data Analyst – Summary count of non-blank categories

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# Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

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