Data validation is a great way to keep your users informed about possible values in a cell and guide them to select something appropriate. As part of the spreadcheats series, in this post we will discuss 2 advanced data validation techniques that can help you when you are modeling a complex worksheet.
Problem 1: You have 2 lists of possible values and you want a way to switch between both
PS: Many thanks to Alex who proposed this idea and solution through e-mail.
You have a cell where user can enter any value from 2 lists. But you don’t want to overload the in-cell drop down list with tons of values, and rather prefer a simpler approach like this:
Solution: Use an IF() formula in validation criteria
The solution is to use an if() formula to determine which one of the two ranges should be used to validate cell contents.
- Select the cell where you want to have this type of validation
- Go to menu > data > validation
- In the criteria area, select “allow” as “list”
- In the source area, specify a formula like this:
=IF($B$7="Full List",Full-list-range,Partial-list-range)
That is all, you now have a data validation list that can change its source based on user preference.
Problem 2 : You would like to change a list’s values based on what is selected in another list
PS: Many thanks to Catherine for asking this question through email
You have a status tracking spreadsheet where each employee enters the status for each of the projects they are working on. They enter the status by first selecting the department and then selecting a project (from that department).
So how do you do this in Excel?
Solution: Use OFFSET and MATCH to determine which range to use
Remember the offset() and match() formulas we discussed in the last spreadcheats? Assuming the list of projects for each department is in a range B10:C22 with column B having the department name and column C having the project name and the list is sorted on column B, we can use offset() and match() combination along with countif (ahem!) to determine which range to use for project cell drop-down.
- For the department cell, we can use simple list validation with values as “Marketing, Ops, Sales, IT”
- For project cell, go to data validation (menu > data > validation) and specify a formula like this:
=OFFSET(C9,MATCH($B$6,$B$10:$B$22,0),0,COUNTIF(B10:B22,$B$6),1) - What is above formula doing? It is fetching a sub-range from the by finding where the first entry for the selected department is, returning x number of rows from that point, where x = no. of projects in that department.
That is all. You now have a list drop-down that changes values based on what is selected in an earlier cell.
Still having doubts?
Feel free to download this example workbook containing a tutorial on Advanced Data Validation in Excel and poke around to learn.
12 Responses to “29 Excel Formula Tips for all Occasions [and proof that PHD readers truly rock]”
Some great contributions here.
Gotta love the Friday 13th formula 😀
Great tips from you all! Thanks a lot for sharing! bsamson, particularly you helped me on a terribly annoying task. 🙂
(BTW, Chandoo, it's not exactly "Find if a range is normally distributed" what my suggestion does. It checks if two proportions are statistically different. I probably gave you a bad explanation on twitter, but it'd be probably better if you fix it here... 🙂 )
Great compilation Chandoo
For the "Clean your text before you lookup"
=VLOOKUP(CLEAN(TRIM(E20)),F5:G18,2,0)
I would like to share a method to convert a number-stored-as-text before you lookup:
=VLOOKUP(E20+0,F5:G18,2,0)
@Peder, yeah, I loved that formula
@Aires: Sorry, I misunderstood your formula. Corrected the heading now.
@John.. that is a cool tip.
Hey Chandoo,
That p-value formula is really great for a statistics person like me.
What a p-value essentially is, is the probability that the results obtained from a statistical test aren't valid. So for example, if my p value is .05, there's a 5% probability that my results are wrong.
You can play with this if you install the Data Analysis Toolpak (which will perform some statistical tests for you AND provide the P Value.)
Let's say for example I've got two weeks of data (separated into columns) with the number of hours worked per day. I want to find out if the total number of hours I worked in week two were really all the different than week one.
Week1 Week2
10 11
12 9
9 10
7 8
5 8
Go to Data > Data Analysis > T-Test Assuming Unequal Variances > OK
In the Variable 1 Box, select the range of data for week 1.
In the Variable 2 Box, select the range of data for week 2.
Check "Labels"
In the Alpha box, select a value (in percentage terms) for how tolerant you are of error.
.05 is the general standard; that is to say I am willing to accept a 95% level of confidence that my result is accuarate.
Select a range output.
Excel calculates a number of results: Average (mean) for each week's data, etc.
You'll notice however that there are two P Values; one-tail and two-tail. (one tail tests are for > or .05), the number of hours I worked in week two is statistically equivalent to the number of hours I worked in week one.
So here’s a way you might want to use this. You put up a new entry on your blog. You think it’s the best entry ever! So you pull your webstats for this week and compare it to last week. You gather data for each week on the length of time a visitor spends on your website. The question you’re trying to prove statistically is whether there’s an average increase in the amount of time spent on your website this week as compared to last week (as a result of your fancy new blog post). You can run the same statistical test I illustrated above to find out. Incidentally, it matters very little to the stat test whether the quantity of visitors differs or not.
Anyhow, the Data Analysis toolpack doesn't perform a lot of stat tests that folks like me would like to have access to. In those cases I have to either use different software, or write some very complicated mathematical formulas. Having this p-value formula makes my life a LOT easier!
Thanks!
Eric~
Fantastic stuf..One line explanation is cool.
Thanks to all the contributors
OS
Take FirstName, MI, LastName in access (you can fix it to work in excel) capitalize first letter of each and lowercase the rest and add ". " if MI exists then same for last name:
Full Name: Format(Left([FirstName],1),">") & Format(Right([FirstName]),Len([FirstName])-1),"") & ". ","") & Format(Left([LastName],1),">") & Format(Right([LastName],Len([LastName])-1),"<")
I teach excel, access, etc etc for a living and i have my access students build this formula one step at a time from the inside out to show how formulas can be made even if it looks complicated. Yes I know I could just do IsNull([MI]) and reverse the order in the Iif() function but the point here is to nest as many functions as possible one by one (also I illustrate how it will fail without the Not() as it is)
Extract the month from a date
The easiest formula for this is =MONTH(a1)
It will return a 1 for January, 2 for February etc.
if in a column we write the value of total person for eg. 10 if we spent 1.33 paise each person then how we get total amount in next column and the result will in round form plzzzzz solve my problem sir................... thank u
@Anjali
If the value 10 is in B2 and 1.33 paise is in C2 the formula in D2 could be =B2*C2
If the values are a column of values you can copy the formula down by copy/paste or drag the small black handle at the bottom right corner of cell D2
kindly share with me new forumulas.
How to convert a figure like 870.70 into 870 but 871.70 into 880 using excel formula ? Please help.