Excel Example for Data Analyst – Count numbers by range with COUNTIFS

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

As a data analyst, you often have to deal with large amounts of data and make sense of it. One of the ways to do that is by counting the number of data points that fall within certain ranges. This can be accomplished using the “COUNTIFS” function in Excel.

The “COUNTIFS” function allows you to count the number of cells in a range that meet multiple criteria. Unlike the “COUNTIF” function, which only allows you to count based on a single criteria, the “COUNTIFS” function lets you count cells that meet two or more criteria.

To use the “COUNTIFS” function, you first need to identify the data range that you want to count, and then specify the criteria for each column in that range. You can use comparison operators like “=” or “>”, or specify a range of values that the data must fall within.

For example, if you have a column of numbers and you want to count how many of them fall within a specific range, you can use the “COUNTIFS” function to do so. First, you would identify the range of numbers, and then specify the criteria for the range. The criteria could be something like “>100” and “<200”, which means you’re looking to count the number of numbers in the range that are greater than 100 and less than 200.

Once you’ve set up the “COUNTIFS” function, Excel will automatically count the number of cells in the range that meet all the specified criteria. You can use this information to determine the distribution of the data within a specific range and make informed decisions based on the results.

In addition to counting numbers by range, you can also use the “COUNTIFS” function to count data in other ways. For example, you could use it to count the number of cells in a range that contain specific text, or the number of cells that meet multiple criteria based on different columns.

In conclusion, the “COUNTIFS” function in Excel is a powerful tool that allows you to count the number of cells in a range that meet multiple criteria. Whether you’re counting numbers by range, text, or any other data, this function can help you make sense of large amounts of data and extract valuable insights. Whether you’re a seasoned data analyst or just starting out, mastering the “COUNTIFS” function will help you become more efficient and effective in your work.

Excel Example for Data Analyst – Count numbers by range with COUNTIFS

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [387.66 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!