Excel Example for Data Analyst – Count cells that do not contain many strings

Hits: 1

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

Excel is a powerful tool for data analysis and it’s widely used by professionals in many different fields. One common task that data analysts need to perform is counting cells that do not contain specific strings. This is important because data often contains irrelevant information or values that don’t meet the criteria for a specific analysis. By excluding these values, data analysts can ensure that they’re using accurate and relevant data to make informed decisions.

To count cells that do not contain specific strings in Excel, you need to start by selecting the cells you want to analyze. You can select a range of cells, a single cell, or an entire column. Once you’ve selected the cells, you need to use the COUNTIF function in combination with the NOT operator.

The COUNTIF function is used to count cells that meet a specific criterion. In this case, the criterion is that the cell does not contain one of several specific strings. To use the COUNTIF function, you need to type =SUM(COUNTIF(range, “string1”), COUNTIF(range, “string2”), …, COUNTIF(range, “stringN”)) into the formula bar, where range is the cells you want to count and string1, string2, …, stringN are the strings you want to exclude.

When you press Enter, Excel will calculate the number of cells that do not contain the specified strings and display the result in the cell where you entered the formula. You can then copy and paste the formula to other cells if you need to count cells in multiple ranges.

It’s important to note that the COUNTIF function is case-sensitive, so it will only exclude cells that contain the strings exactly as specified in the formula. Additionally, the COUNTIF function only counts cells that contain text, so if you have cells that contain numbers, dates, or other types of data, they will not be included in the count.

In conclusion, counting cells that do not contain specific strings in Excel is a simple task that can be performed using the COUNTIF function in combination with the NOT operator. By following these steps, data analysts can quickly and easily exclude irrelevant or unwanted values from their data and ensure that they’re using accurate and relevant data to make informed decisions.

Excel Example for Data Analyst – Count cells that do not contain many strings

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [449.49 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!