A good dashboard must show important information at a glance and provide option to drill down for details.
Showing Top 10 (or bottom 10) lists in a dashboard is a good way to achieve this (see below).
Today we will learn an interesting technique to do this in Excel.
Lets assume you are the owner of ACME inc. and you want to show the performance of your products in a dashboard. But since you hate clutter (and love Coyote, your lone customer), you want to show the top 10 products by sales & orders and give an option to drill down if someone is interested.
Lets say your data looks like this:
Now, follow these simple steps.
- Select your data & insert a pivot table (tutorial here).
- Use product as the row label & sales as the value for pivot table.
- Now, sort the products by descending order of sales – See this:
- Comeback to dashboard and point to first 10 rows of the pivot report using cell references.
- Type view more in a cell beneath the top 10 and press CTRL+K (this opens the hyperlink dialog box).
- Just point to cell A1 in your pivot report worksheet. Click OK.
- Now, if you click on the view more link, you will jump to pivot report instantly. Pretty neat, eh?
- That is all. Go sell some Mouse Snare or Iron Bird Seed. Mr. Wile is at the counter.
Advantages of this technique:
Ardent readers of chandoo.org or dashboard practitioners usually rely on a sort & scroll technique similar to the one we discussed in KPI Dashboards post. But as you can see, using formulas & form controls is a tedious process. If you want to filter your source data based on a criteria (say top products by sales where refund rate is more than 3%) then your formulas will be awfully long and complicated.
This is where pivot tables shine. They are easy to setup. You can sort & filter pivot tables in multiple ways & then link the output to dashboard tables (or charts) with ease.
Download Example Dashboard with top 10 tables
Click here to download the example dashboard with top 10 tables. This is a demonstrative file, not a real dashboard. So take it with a pinch of salt (or TNT if you fancy).
Do you show Top 10 values in Dashboards?
I use them all the time. You can see top 10 values in many of the dashboards I constructed or recommend. (here is 1,2,3). I think they are a great way to capture attention and encourage analysis. You can get top 10 values using either pivot tables like above or use formulas like large & small. You can even set up dynamic charts to show top 10 values. or use Conditional formatting to highlight top 10 values. I just love them.
What about you? Do you show top / bottom values in your dashboards? What techniques and ideas you follow. Please share using comments.
More Excel Dashboard Techniques:
- Display Alerts in Dashboards to catch user attention
- Budget vs. Actual charts in Dashboards
- Use shapes in Dashboards to make them effective
- More Excel Dashboard tips, tricks, templates & tutorials
Get Dashboard Training from Chandoo.org
I have made an hour long video training explaining how to construct Excel Dashboards using a recent dashboard I made as an example. If you work on dashboards, this is a good program for you. Click here to learn more.
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.