Pop quiz: What is wrong with below report?
At first glance, it looks alright. But if you observe closely, you realize that it is not telling the entire story. Just looking at regional sales numbers, you have not much clue what is going on with them.
So how to improve it?
1. Add context
In order to know whether a number like $120,000 sales in South is good or bad, you need to provide some context. For example, if you include previous month sales figures, suddenly $120k is comparable to some other number. This tells a better story than a simple number alone.
You can also try these,
- Target values
- Same month last year values
- YTD, QTD values
2. Add % Change
When you have 2 numbers like $120k and $110k in a report, anyone looking at them are going to mentally calculate the % change from last month to this month. This is easy for numbers like 120 and 110, but if your numbers are like 36,450 and 43,150 then calculating % change values will take time.
Why force your audience to do this mental math? Instead show these %s on the report.
3. Highlight bad numbers
Another way to enhance your report is to highlight poorly performing regions. Since each region is different, comparing sales of one with another is not good. But you can compare % change (from previous month / same month last year / targets etc.) and highlight poorly performing regions. This can be done with conditional formatting.
So lets go ahead and do it for our report above.
3.1 Add conditional formatting
Just select the %change column, go to conditional formatting > icon sets > and choose an arrow icon set that you fancy.
3.2 The default formatting kinda sucks
We are not done yet. If you look at the default icon formatting, it looks in-accurate. We are seeing red colored, down-ward arrows even when there is a positive change. And, when the % change is negative, we no longer need minus sign (-) because it will be indicated by down arrow.
3.3 Fix the conditional formatting icons
Select the cells again, go to home > conditional formatting > manage rules. Select the rule and edit it (you can double click on the rule to edit).
Change the rule type as shown below.
3.4 Remove the minus sign
Select the %change column once again, go to format cells (ctrl+1) and set the custom formatting code 0%;0%
This will make sure that even when the percentage is negative, Excel will not show the sign (minus symbol).
Related: More on custom cell formatting in Excel.
So there you go. A regional sales report that tells better story.
Key ideas to keep in mind
In your reports, try to provide as much context as possible. This can be done by
- providing comparisons
- including additional statistics (sum, count, median etc.)
- indicating the time frame of the report
- highlighting bad numbers or areas that require attention
- giving user a choice to change report criteria (interactive features).
Do you follow these principles when making reports or dashboards?
I try to observe these ideas in all my dashboards. What about you? Are you using simple numbers in your dashboards?
Go ahead and tell us how you are making your dashboards better, in comments.
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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.