Extract usernames from E-mail IDs [using LEFT and FIND formulas in Excel]

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Extract usernames from E-mail IDs [using LEFT and FIND formulas in Excel]Today we will learn to use Excel’s LEFT and FIND formulas. But what fun it is to learn a new formula on a Tuesday?

So, we will actually learn to use these formulas to solve the problem: “extract the username from an email ID”

How is an email ID structured?

Any email ID contains 2 parts – user name and domain name.

For eg. in my email id – chandoo.d@gmail.com – chandoo.d is user name and gmail.com is domain.

So how do we get the user name out?

As you can see, username always starts at left and goes up to the symbol “@”. So, If we write a formula to fetch all the characters up to “@” symbol, it will get us the user name.

This is where LEFT() and FIND() formulas enter the scene.

What does Excel LEFT formula do?

Excel LEFT formula will let you cut a portion of text from left. For eg. =LEFT("Long",2) will give you Lo. (syntax and examples)

So, to get the email username, we need to get all the letters in the left of email ID up to the location of “@” symbol. And how do we find the position of a symbol in a text?

We use FIND formula.

FIND formula gives the location of one text in another. For eg. =FIND("do", "chandoo") will give us 5 (the location of “do” in “chandoo”).

FIND will throw an error (#VALUE!) if the text you are trying to find is not available. For eg. =FIND("peace", "world") will throw #VALUE!

(syntax and examples)

Armed with these 2 formulas, now let us get that user name out of email ID

Assuming cell A1 has the email id, the formula for getting user name is =LEFT(A1,FIND("@",A1)-1)

We have to use -1 as find actually tells the position of “@” and we need all the letters up to “@”, but not “@”.

This is how it works:

Extract usernames from E-mail IDs - demo

Your homework:

  • How would you extract the domain out of email ID? (Hint: there is a right formula for everything)

Use comments to write your answers. Don’t cheat.

Learn more excel formulas:

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11 Responses to “Who is the most consistent seller? [BYOD]”

  1. Hui... says:

    The Date column in the sample file is Text not Dates

  2. Great Chandoo. Keep it up, Looking forward more from BYOD..

  3. gayani says:

    Thanks

  4. Frank Tonsen says:

    With Excel 2013 the pivot table could be connected to the data model which provides a distinct count.

  5. Mak says:

    This will do for invoice count
    =COUNTIF(F:F,H12)
    Instead of
    =COUNTIFS(sales[SELLER],$H12)

  6. Alejandro says:

    Excellent document. How did you make the last graphic? Witch app. Thanks for answer.

  7. Chris says:

    Can someone tell me what =countif(sales[date],sales[date]) is counting? The value is 19. Its found in the =SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))

    • Vândalo says:

      Hi Chris,

      =countif(sales [date],sales[date]) function is counting the unique dates in the table.

      Vândalo

  8. Nguyen says:

    Excellent document!

    Can you explain more about the calculation on Weighted consistency? More specific the small number is 0,00001 ?

    How come the number should be smaller if there is more sellers?

  9. TS says:

    Hi,

    Not understood this formula: {=SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))}

    Please explain.

    Thanks.

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