Excel formula for Beginners – How to find First in – last out times in Excel

 

(Excel examples for Beginners)

In this end-to-end excel example, you will learn – Excel formula for Beginners – How to find First in – last out times in Excel.

 

Excel formula for Beginners – How to find First in – last out times in Excel

Generic formula

=MINIFS(times,names,name,actions,action)

Summary

To get “first in, last out” times from timesheet data, you can use the MAXIFS and MINIFS functions, or an array formula as described below. In the example shown, the formula in H6 is:

=MINIFS(times,names,H5,actions,"in")

with the following named ranges: actions = C5:C22. names = B5:B22, times = E5:E22

Explanation

The MINIFS function is designed to return minimum values in a range based on one or more criteria. In this case, the range we are extracting a minimum value from is E5:E22), named “times”.

We are filtering these values first using two range/criteria pairs. The first pair provides a range of B5:B22 (names), with the name in H5 for criteria. The second pair uses the range C5:C22 (actions), with “in” as a criteria.

MINIFS then returns the earliest (minimum) time where name is “Max” and action is “in”.

The “last out” time is calculated in a similar way with the MAXIFS function:

=MAXIFS(times,names,H5,actions,"out")

Array formula alternatives

The MAXIFS function and MINIFS function were both introduced in Excel 2016. If you are using an older version of Excel, you can use an array formula instead:

{=MIN(IF(names=K5,IF(actions="in",times)))}
{=MAX(IF(names=K5,IF(actions="out",times)))}

Note: these are array formulas and must be entered with control + shift + enter. Excel will add the curly braces automatically.


Excel formula for Beginners – How to find First in – last out times in Excel

 

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!