This is a Guest Post by Robert on Visualization Techniques for KPI Dashboards using Excel.
This 6 Part Tutorial on Management Dashboards Teaches YOU:
Creating a Scrollable List View in Dashboard
Add Ability to Sort on Any KPI to the Dashboard
Highlight KPIs Based on Percentile
Add Microcharts to KPI Dashboards
Compare 2 KPIs in the Dashboards Using Form Controls
Show the Distribution of a KPI using Box Plots
As you all know dashboards provide “Information at a glance” with often the power to “deep dive to analyze”. Most dashboards succeed in providing information. But the exceptional ones succeed in “at a glance” part of it while maintaining the deep diving capabilities. In this and next post we will discuss 2 powerful visualizations that can be added to your dashboards to provide better insights at a glance. If you are not familiar with excel based dashboards we recommend reading the dashboards using excel.
The challenge
Part 3 of the series already displays parts of the relationships within the 5 KPI data sets by highlighting the 10% best and 10% poorest performers of the 4 KPI that are not selected as the sort criteria. But what if we want to have a closer look on how the KPI are related to each other? We need another analytical feature that enables the user to compare the complete data sets at a glance in a graphical visualization.
The solution
An XY scatter chart is the best way to analyze and visualize the relationship and correlation between two sets of quantitative data.
An XY scatter chart, however, is 2-dimensional and therefore limited to compare only two data sets.
Since we have 5 different KPI, we would need 10 different charts to display all possible combinations of KPI pairs on our dashboard. This would need too much real estate on the dashboard and it would probably be too complex and unclear for the users of the dashboard.
Again we need an interactive, flexible way to display the data in one single chart and let the user decide which 2 KPI to display (see above). Additionally we want to highlight the data points that are displayed on the dashboard table and of course we want to do this without VBA.
The implementation
Download Excel Dashboard Visualization Techniques [part 1] workbook and read on how this is implemented.
- Create an input list form control with the names of the 5 KPI (calculation!E10:E14)
- Define two cells to store the results of the combo boxes to select the displayed KPI (calculation!E16:E17)
- Insert two combo boxes (from the forms control toolbar) on the dashboard and link the input lists and the cell links accordingly.
Add 4 extra columns (calculation!AS:AT and calculation!AV:AW) and create OFFSET formulas to fill these new cell ranges with the values of the selected KPI (i.e. using the values in calculation!E16:E17, see 2.).- Create an XY scatter chart with two data series (data source: the 4 new cell ranges, see 4.). Format the first series as circles without fill colors and the second series as circles with a grey fill color, add a legend to the chart and bring the chart to the dashboard.
- Reposition the chart on the dashboard (remember this trick: keeping the ALT-key pressed during resizing and repositioning makes the chart auto-fit to the cell grid underneath) and position the combo boxes.
- If you want to, you could easily add a trend line to the chart and display the equation and/or the R-squared value for deeper analysis of the correlation between the two KPIs.
That’s it. Play around with the new analytical feature: change the selected two KPIs, change the sort criteria, toggle the sort order or scroll up and down the dashboard table and watch the changes on the XY scatter chart.
What’s next? – Last Part of the KPI Dashboards using Excel
Make sure you have downloaded the Excel Dashboard Visualization Techniques [part 1] workbook
Go to next post: Part 6: Show the Distribution of a KPI using Box Plots
Also, Checkout our Excel Dashboards Page for more examples and resources.
Chandoo’s note: Thanks Robert for another excellent post.
Please leave your comments, questions and love here, Robert is a regular reader of this blog he will be happy to respond to you as early as possible.
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.