When comparing 2 sets of data, one question we always ask is,
- How is first set of numbers different from second set?
A classic example of this is, lets say you are comparing productivity figures of your company with industry averages. Merely seeing both your series as lines (or columns etc.) is not going to tell you the full story. But if we can shade our productivity line in red or green when it is under or above industry average… now that would be awesome! Something like below:

The above chart tells us where we are lagging and where we are good. It will let us ask poking questions about the gap and find answers (may be removing coffee machine from 2nd floor last May was a bad idea!)
So how do we create such a chart?
PS: This chart and article is inspired from a question asked by arobbins & excellent solution provided by Hui here.
Creating a shaded line chart in Excel – step by step tutorial
1. Place your data in Excel
Lay out your data like this.

2. Add 3 extra columns – min, lower, upper
If you look at the chart closely, you will realize it is a collection of 4 sets of data. See this illustration to understand.

Write formulas to load values in to min, lower (green) & upper (red) series.
- Min is minimum of productivity and ind. average
- Lower (green) is difference between productivity and ind. average (or NA() if negative)
- Upper (red) is difference between ind. average and productivity (or NA() if negative)
3. Create a stacked area chart from this data
Select all the 4 series (productivity, min, lower & upper) and create a stacked area chart.
This is how it looks.

4. Format the productivity series as line
Right click on productivity series and using “Change series chart type” option, change it to line chart.

5. Make the min series transparent
Select min series and fill it with “No color”

6. Format lower & upper in green & red colors respectively

And you are done!
Optional: adjust series formatting, add grid lines etc.
As a bonus, you can add vertical grid lines (so that we can understand the red green changes easily) and format the horizontal axis. You can also move around the legend and remove the words “min” from it.
This will make the chart look really awesome.

Is this the only way to compare productivity with industry averages?
Although our shaded line chart is an excellent way to visualize differences between 2 series of data, I kept thinking if there are other ways to compare this.
After a bit of doodling & drawing inspiration from various charts I have seen earlier, here are 4 more options we can consider.
Option 1 – Productivity vs. variance wrt Ind. average

This chart shows the variance (industry average-productity) at bottom so that we can easily look at overall trend & understand how we fared with respect to industry.
To create this chart, you just have to calculate the variance in a separate column and create a column & line chart combination (column for variance & line for productivity). Once such a chart is ready, go to fill options for the column chart and check invert colors if negative option and set up green & red colors!
Option 2 – Productivity vs. better or worse indicators

This chart just shows whether productivity surpassed industry average or not in a boolean state (green for yes, red for no)
This chart is a combination of line & column chart with same principle as above (invert if negative option).
Option 2 (made using Excel 2010 Sparklines)

You can create this chart very easily with Excel 2010 sparklines. Line chart for productivity and win-loss chart for better or worse indicators.
Option 3 – Collapsed Productivity vs. variance wrt Ind. average

Since the color is already telling us whether variance is negative or positive, we can collapse both to same side of axis (thus saving some space & reducing redundant information).
To create this chart, we need two series of data – positive variance & negative variance as 2 sets of areas on the chart.
Option 4 – Collapsed Productivity vs. better or worse indicators

Well, this is same as option 2 but collapsed.
Download Example workbook
Click here to download the Excel workbook containing all these examples. You can also see detailed steps for making the shaded line chart in it.
How do you compare one series with another?
I must confess that I never made shaded line chart until today. For smaller data sets (<15 items), I usually compare by making column charts or thermo-meter charts. These are easy to make and easy to understand. For larger data sets, I try to make dynamic charts so that I can choose which series to include in comparison or make indexed charts.
Now that I learned how to set up shaded line charts, I will try them in my upcoming projects & consulting assignments to see how they fare.
What about you? Which types of charts do you use to compare one series with another? Please share your techniques & implementations using comments. I would love to learn more from you.
Compare often? Check out these charts
If you compare apples to apples (or to an occasional bushel of oranges) for living, then check out these charting tutorials & techniques.
WARNING: After learning these techniques, Suddenly you will become incomparably awesome in your office.

















6 Responses to “Make VBA String Comparisons Case In-sensitive [Quick Tip]”
Another way to test if Target.Value equal a string constant without regard to letter casing is to use the StrCmp function...
If StrComp("yes", Target.Value, vbTextCompare) = 0 Then
' Do something
End If
That's a cool way to compare. i just converted my values to strings and used the above code to compare. worked nicely
Thanks!
In case that option just needs to be used for a single comparison, you could use
If InStr(1, "yes", Target.Value, vbTextCompare) Then
'do something
End If
as well.
Nice tip, thanks! I never even thought to think there might be an easier way.
Regarding Chronology of VB in general, the Option Compare pragma appears at the very beginning of VB, way before classes and objects arrive (with VB6 - around 2000).
Today StrComp() and InStr() function offers a more local way to compare, fully object, thus more consistent with object programming (even if VB is still interpreted).
My only question here is : "what if you want to binary compare locally with re-entering functions or concurrency (with events) ?". This will lead to a real nightmare and probably a big nasty mess to debug.
By the way, congrats for you Millions/month visits 🙂
This is nice article.
I used these examples to help my understanding. Even Instr is similar to Find but it can be case sensitive and also case insensitive.
Hope the examples below help.
Public Sub CaseSensitive2()
If InStr(1, "Look in this string", "look", vbBinaryCompare) = 0 Then
MsgBox "woops, no match"
Else
MsgBox "at least one match"
End If
End Sub
Public Sub CaseSensitive()
If InStr("Look in this string", "look") = 0 Then
MsgBox "woops, no match"
Else
MsgBox "at least one match"
End If
End Sub
Public Sub NotCaseSensitive()
'doing alot of case insensitive searching and whatnot, you can put Option Compare Text
If InStr(1, "Look in this string", "look", vbTextCompare) = 0 Then
MsgBox "woops, no match"
Else
MsgBox "at least one match"
End If
End Sub