Microsoft Excel “DAY, MONTH, YEAR Functions” are date related functions helps to extract the Day, Month or Year from a Date. These functions are very helpful and while transforming the existing database and each of them has their unique characteristics.
“DAY” function will return the “Day” value from a complete Date. Output of the function will be in Numeric format and would be between 1 to 31.
“MONTH” function will return the “Month” value from a complete Date. Output of the function will be in Numeric format and would be between 1 to 12.
“YEAR” function will return the “Year” value from a complete Date. Output of the function will be in Numeric Year format.
“DAY, MONTH, YEAR Functions” can be used in any Date format, which makes the function useful and advantageous. Applying the functions manually (one by one) to insert the value is very difficult and “DAY, MONTH, YEAR Functions” helps to apply the function in large database at once and makes the work easy, saves time and increases efficiency.
“DAY, MONTH, YEAR Functions” are very useful and can be used in many situations. Like it can be used as follows:
– Preparing and consolidation of report as per DAY, MONTH or YEAR
– Preparing Aging report and Debtor/ Creditor summary as per specific period
– Or any other database where there is requirement extracting DAY, MONTH or YEAR
-DAY, MONTH or YEAR functions returns the output in Number format but if there is any error in the input cell then it will return the output error as “#VALUE!”
-We need to ensure that the input data i.e. Date should be in correct and recognizable format for Microsoft Excel.
=DAY(serial_Number)
Serial_number, argument is used to give the cell address of Date from which DAY should be extracted.
“DAY” function will return the output from a Date. As per below example we can see that with the help of DAY function, Day is extracted i.e. 19 from date i.e. 03/19/2020 (19th March 2020).
=MONTH(serial_Number)
Serial_number, argument is used to give the cell address of Date from which Month should be extracted.
“MONTH” function will return the output from a Date. As per below example we can see that with the help of MONTH function, MONTH is extracted i.e. 3 (March) from date i.e. 03/19/2020 (19th March 2020).
=YEAR(serial_Number)
Serial_number, argument is used to give the cell address of Date from which Year should be extracted.
“YEAR” function will return the output from a Date. As per below example we can see that with the help of YEAR function, YEAR is extracted i.e. 2020 from date i.e. 03/19/2020 (19th March 2020).
Hope you liked. Happy Learning.
Don’t forget to leave your valuable comments!
In layman language, this chart divides the data into multiple range groups with same interval i.e. 1-5, 5-10… and then plot the data into these groups to find the distribution among these group. So that you may understand, what are the major areas which has large impact or your major data fall. This helps the user to understand the nature of your data
Calculations With Date In Excel Dates function also be used to subtract the Year, Month and Days from the existing dates. Sometimes we need to subtract specific period from the date. In case you are…
The Article of DATEVALUE explains how to use Excel functions to change text into dates and numbers into dates. It also shows how to convert text strings into dates without using formulas. You’ll also learn…
Watch Excel Tutorial Video – How To Create Dropdown List In Excel How to Create a Dropdown list in excel? Microsoft Excel is what most professionals are using for their day-to-day office. Creating a drop-down…
The ROMAN function in Excel converts numbers into Roman numerals. It’s useful when you need to display numbers in the Roman numeral format, such as for dates, titles, or other specific purposes. The function allows you to choose how “traditional” or simplified the Roman numeral should be. To use the ROMAN function, you just need to enter the number you want to convert, and Excel will do the rest
This tutorial shows how to add and find the Solver tool in different versions of Excel, from 2016 to 2003. It includes simple examples on how to use Excel Solver to solve linear programming problems and other types of challenges.