Excel Example for Data Analyst – Count rows that contain specific values

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

As a data analyst, one of the most common tasks you will perform is counting the number of rows in a spreadsheet that contain specific values. This task can be accomplished using a variety of Excel functions, but one of the most efficient is the COUNTIF function. In this article, we will show you how to use this function to count the number of rows that contain specific values in a spreadsheet.

To start, you will need to open your spreadsheet in Excel. If you do not already have one, you can create a new spreadsheet by opening Excel and clicking on “File” followed by “New.” In the new spreadsheet, you will want to create two columns. The first column will be the one where you will enter the values that you want to count, and the second column will be where you will enter the count of those values.

Once you have your two columns set up, you will want to enter the values that you want to count in the first column. For this example, we will use the values “red,” “blue,” and “green.” You will want to enter each value in a separate cell so that you can count them individually.

Next, you will want to use the COUNTIF function to count the number of times each value appears in the first column. To do this, you will need to enter the following formula in the cell next to the first value: =COUNTIF(A1:A3,”red”). This formula will count the number of times “red” appears in the range of cells A1 to A3.

You will then want to copy and paste this formula into the cells next to the other values, changing the value in the formula to match the value you are counting. For example, the formula for “blue” would be =COUNTIF(A1:A3,”blue”). The formula for “green” would be =COUNTIF(A1:A3,”green”).

Once you have entered the formulas, you will see the number of times each value appears in the first column. In this example, if “red” appears twice, “blue” appears once, and “green” appears once, the count for “red” would be 2, the count for “blue” would be 1, and the count for “green” would be 1.

This is a simple but powerful example of how you can use the COUNTIF function in Excel to count the number of rows that contain specific values in a spreadsheet. Whether you are counting sales data, product data, or any other type of data, this function can help you quickly and easily get the information you need. So why not try it out today and see how it can help you with your data analysis tasks!

Excel Example for Data Analyst – Count rows that contain specific values

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [436.68 KB]

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

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!