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.
21 Responses to “Distinct count in Excel pivot tables”
The distinct count option works well but I have found that if I have a date field and want to group by year, month, etc. that option seems to be disabled. I need to do both, distinct count and group by year/month.
Example data; sales orders with item quantities with dates.
Challenge; sum the item quantities, count the distinct orders and group by month. How do I do this?
Perhaps that's not possible due to the grouping?
@Al... When you use data model based pivots, you cannot group values manually anymore. Why not use Excel 2016's default date grouping option? In this case we have just a few dates, so Excel is not grouping them, but if you have an year's worth of data, when you make the pivot with date in the row label area, Excel automatically groups them. If you have fewer dates or want to use your own grouping, just create a table with all dates, add columns with month, week, year etc. Then connect this table (these types of tables are usually called as calendar tables) to your data on date field as a relationship. Now you can create reports by month, quarter etc easily.
Is this the only way to do it in 2013? I find it rather cumbersome to have to create another data table listing dates with the another column for MONTH() and YEAR() to be able to summarise data for senior level...
I know people find adding calendar tables cumbersome, but it is a best practice and let's you add more layers of analysis quite easily. For example, adding analysis by weekday vs. weekend or by financial quarter or YTD calculations (you would need either Power Pivot DAX or some very carefully setup pivot table value field settings)
I had absolutely no idea this was possible. Very useful, nice work!
Doesn't work for 2010 version though (or at least not my works version)
Hi ,
The post has the following in it :
These instructions work only in Excel 2016, Office 365 and Excel 2013.
when i have 2 different Pivot tables, one without the enabled “Add this data to data model” option, and the other one with it enabled.. is there anyway i can link slicers between them?
if the answer is NO,, what to do ?
Quick note, the “Add this data to data model” option is not available for the Mac version.
perhaps outside scope of this article but I have found when I attempt to create a pivot table from an external data source (connection to a sql view) the "Add this data to data model" becomes greyed out. Anybody experienced and found a solution so I can start getting distinct count in my pivot tables?
Is there a way to still add a calculated field when using distinct count?
I found I can't change the date source after tick the " add this data to the data model", can you help to adv how to change the date source in such case?
Is there a way to update the source once you have added to the data model? I receive a new spreadsheet weekly and would like to update the connection so my tables pull from the new source.
Hi Crhis, I like how you have hulk (superhero) as your avatar. Do you know that there is a superhero in Excel too? It's Power Query. You can use it to solve your problem in a simple click. Here an intro if you need some guidance.
Powerful Introduction to Power Query
A big Thank you. It worked.
Hi, have survey data that I need to analyze but the challenge is that my key fields are showing horizontally. I tried to transpose the fields using Power Query, but unfortunately the new fields are returning same values on a pivot table despite using distinct values
How I can a do a pivot table with discount conts in some columns and then generate shor report filter pages. pls it drives crazy
Hi. Why grand total pivot of distinct count is 13? shouldn't it be 67?
Great Answer! Saved me lots of time!
Thank you!!!
Worked awesome! Thanks!!
Hi Chandoo,
I am using pivot tables for distinct count and now I need to update them with new set of data. But when I update the source data, all the columns and formatting of Pivot table disappears and I need to build it from Scratch.
Is there a possibility that I can update the source data with new rows added and also retain my pivot tables?