When looking at a big table of analysis (or data), it would make our life simpler if the selected cell’s column and row are highlighted, so that we can instantly compare and get a sense of things. Like this:
Who doesn’t like a little highlighting. So lets learn how to do highlighting today.
Step 1: Identify the area for highlighting
This is simple, unless you are AUI (analyzing under influence). Lets assume that we are dealing with a range of cells in B4:I14
Step 2: Use 2 cells to capture the selected row & column details
Outside our highlight range, lets set aside 2 cells (E17 & E18 in this case) for keeping the details of which row & column needs to be highlighted.
We can call these cells selRow & selCol.
Step 3: Unleash the VBA magic
- Right click on the sheet name & choose ‘view code’.
- Choose Worksheet & Selection Change from the drop-downs.
- Excel would add a blank
Worksheet_SelectionChange()sub - Write the below lines of code.
[selRow] = Target.Row[selCol] = Target.Column
- Done. So much simpler than using floo network or transmogrifying muggles.
Step 4: Add conditional formatting to highlight selected cell’s row & column
Now that we know which row & column should be highlighted, it is a simple matter of switching on Excel’s highlighting charm – Conditional Formatting.
Select the entire range (B4:I14) and go to conditional formatting > new rule
Select the rule type as Use a formula… and use a below rules.
=ROW(B4) = selRow- Apply formatting
- Repeat the steps & this time use the rule
=COLUMN(B4) = selCol
Step 5: Show off.
Incorporate this technique in to your dashboard or weekly report. Watch the socks knocked off your boss’. Bask in the glory. Repeat and enjoy.
Bonus Tip: Use similar technique to enhance user inputs
You can use similar idea to conditionally show messages on your worksheets. See this demo.
I am not telling you how to do this. But I know you are awesome enough to figure this out.
Download Example File
Click here to download example file & understand how to use this technique.
Do you use highlighting techniques in your reports & analysis?
I always use conditional formatting & light-weight VBA to enhance my dashboards and analysis. Especially conditional formatting is almost a magical way to make stunning reports & show off things that are important.
What about you? Do you use these techniques often? what is your experience like? Please share your tips & ideas using comments. I am all ears.
Transmogrify your boring work to awesome – Check out!
- Interactive sales chart using Excel
- Show details on demand using simple VBA
- Highlight points in scatter & line charts
- Display alert symbols in dashboards to grab attention
- Highlight top 10 values using conditional formatting
Also see introduction to conditional formatting & VBA to understand to get the basics right.
For more potent magic, please consider joining our Online VBA Classes. You are going to leave everyone spellbound.
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.