(Excel examples for Beginners)
In this end-to-end excel example, you will learn – Excel formula for Beginners – How to get Sequence of days in Excel.
To generate a series of dates by day, you can use the SEQUENCE function. In the example shown, the formula in E5 is:
which generates a series of 12 dates, beginning with May 1, 2019, the date in C4.
How this formula works
The SEQUENCE function is a dynamic array function that can generate multiple results. When used by itself on the worksheet, SEQUENCE outputs an array of results that “spill” onto the worksheet in a “spill range”.
SEQUENCE can generate results in rows, columns, or rows and columns. In this example, we are asking sequence for an array of numbers that is 12 rows by 1 column, starting with the date in C4, and incrementing by 1. Because dates in Excel are just serial numbers, and the date in C4 is equivalent to 43586, SEQUENCE outputs an array like this:
which spills into the range E5:E16. When formatted as dates, these values show 12 consecutive dates beginning with May 1, 2019 and ending with May 12, 2019.
To use SEQUENCE to generate a series of dates that are workdays only, you can wrap SEQUENCE in the WORKDAY or WORKDAY.INTL function. In the example shown, the formula in G5 is:
Note: this is an array formula and must be entered with control + shift + enter. In addition, because this is a multi-cell array formula, you must select all 12 cells first to enter or edit the formula.
Here, inside the WORKDAY function, we first subtract 1 day from the starting date. We do this to force WORKDAY.INTL to evaluate the start date, and to begin the sequence on the start date.
Next, we use SEQUENCE to generate 12 sequential numbers:
Because the columns, start, and step arguments are all optional, this outputs an array like this:
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
Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
All Notebooks in One Bundle: Data Science Recipes and Examples in Python & R.
End-to-End Python Machine Learning Recipes & Examples.
End-to-End R Machine Learning Recipes & Examples.
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding
R Machine Learning & Data Science Recipes: Learn by Coding
Comparing Different Machine Learning Algorithms in Python for Classification (FREE)
There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $29.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.