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I don’t always like to use helper columns but when I do, the OR function comes in handy. There are a couple of scenarios where I find this useful. [Read more…]
Have you ever needed to know how many characters were in a cell?
It sounds a little ridiculous but I found myself in that exact position a couple of weeks ago. [Read more…]
You’d be surprised how simple the calculations are that sophisticated investors rely on. Payback period is one such example. [Read more…]
In case you missed, the set up for this video, you can read some additional information about payback period here. I literally just had to pull something together using this, so this isn’t just random Excel functionality.
If you’re interested in downloading the Excel workbook you can get that by clicking here.
Let me know what you think of the video in the comments.
Do you know about the Excel wildcard functionality?
You know, the one where you put an “*” before and/or after something you’re searching for and Excel executes a search based on what you input. For example, imagine you have a spreadsheet with a lot of data. Maybe it’s an export of transaction activity for the month. You have hundreds of account numbers ranging from 1xxx through 9xxx. You want to spend a little extra time on the 8xxx accounts because that’s where the bulk of activity gets posted. You can do one of two things:
Option 1: Add a filter, go to the filter drop down and unselect all accounts, then scroll down to the accounts you want to look at and manually check them.
Option 2: Add a filter, go to the search in the filter drop down and type in “8*”. Not only is option 2 faster (Under option 1, you could be scrolling for days through a bunch of accounts that show up because of one row of data in your file.), but it’s also more reliable. Using a manual approach, you could easily miss a box that you meant to check and skew your analysis.
Pretty sweet, right? And it gets better.
You can also use Excel wildcard functionality in formulas, and I’m going to show you how with another example. Say you have this small table of data:
Note: “X” represents contractor and “E” represents employee in the grade column and the number represents level with the respective contractor or employee category. Now, let’s say you want to use formulas to summarize a few different pieces of information:
1. Salary paid to employees and contractors, respectively
2. Salary paid to employees and contractors with the last name “Brown”
3. Salary paid to employees whose names contain “Brown” in them.
How would you attack this problem? Looking at number 1 above, you might be tempted to just add a column to flag each employee as a flag and then use a sumif formula, but that strategy quickly becomes cumbersome and impractical as the number of extra columns needed in your dataset increases.
This is where the Excel wildcard function comes in handy. Here’s how to take down each of the above:
1. For salary paid to contractors, type =SUMIFS(E4:E11,D4:D11,”*X*”). For employees, do the same thing but replace the X with an E in the formula.
2. For salary paid to contractors with the last name Brown, type =SUMIFS(E4:E11,D4:D11,”*X*”,C4:C11,”*Brown”). Again, for employees, do the same thing but replace the X with an E in the formula.
3. For salary paid to contracts with the last name containing Brown, type =SUMIFS(E4:E11,D4:D11,”*X*”,C4:C11,”*Brown*”).
You notice the slight difference between 2 and 3? Trust me when I tell you adding this functionality to your repertoire will save you a lot of time. There is one other formula I used to put this example together.