Excel formula for Beginners – How to Count multiple criteria with NOT logic in Excel

Hits: 29

 

 

(Excel examples for Beginners)

In this end-to-end excel example, you will learn – How to Count multiple criteria with NOT logic in Excel.

 

How to Count multiple criteria with NOT logic in Excel

Generic formula

=SUMPRODUCT((rng1=crit1)*ISNA(MATCH(rng2,crit2,0)))

Explanation

To count with multiple criteria, including logic for NOT one of several things, you can use the SUMPRODUCT function together with the MATCH and ISNA functions.

In the example shown, the formula in G8 is:

=SUMPRODUCT((gender=F4)*ISNA(MATCH(group,G4:G5,0)))

Where “gender” is the named range C4:C12, and “group” is the named range D4:D12.

Note: MATCH and ISNA allow the formula to scale easily to handle more exclusions, since you can easily expand the range to include additional “NOT” values.

How this formula works

The first expression inside of SUMPRODUCTS tests values in column C, Gender, against the value in F4, “Male”:

(gender=F4)

The result is an array of TRUE FALSE values like this:

{TRUE;FALSE;TRUE;FALSE;TRUE;TRUE;FALSE;TRUE;FALSE}

Where TRUE corresponds to “Male”.

The second expression inside of SUMPRODUCTS tests values in column D, Group, against the values in G4:G5, “A” and “B”. This test is handled with MATCH and ISNA like this:

ISNA(MATCH(group,G4:G5,0))

The MATCH function is used to match every value in the named range “group” against values in G4:G5, “A” and “B”. Where the match succeeds, MATCH returns a number. Where the MATCH fails, MATCH returns #N/A. The result is an array like this:

{1;2;#N/A;1;2;#N/A;1;2;#N/A}

Since #N/A values correspond to “not A or B”, ISNA is used to “reverse” the array to:

{FALSE;FALSE;TRUE;FALSE;FALSE;TRUE;FALSE;FALSE;TRUE}

Now TRUE corresponds to “not A or B”.

Inside SUMPRODUCT, the two array results are multiplied together, which creates a single numeric array inside SUMPRODUCT:

SUMPRODUCT({0;0;1;0;0;1;0;0;0})

SUMPRODUCT then returns the sum, 2, representing “2 males not in group A or B”.

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!

 

MySQL Tutorials for Business Analyst: MySQL GROUP BY and HAVING Clause

Excel formula for Beginners – How to Count cells not equal to many things in Excel

Python Example – Write a Python program to match key values in two dictionaries