Pareto Charts – How to do pareto analysis using Excel?

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A Pareto chart or pareto graph displays the importance of various factors in decreasing order in columns along with cumulative importance in a line. Pareto charts are often used in quality control to display most common reasons for failure, customer complaints or product defects.

The principle behind pareto charts is called as pareto principle or more commonly the 80-20 rule. According to wikipedia,

The Pareto principle (also known as the 80-20 rule,[1] the law of the vital few, and the principle of factor sparsity) states that, for many events, roughly 80% of the effects come from 20% of the causes.

The pareto chart is a great way to do the pareto analysis. Today, we will learn how to use excel to make a pareto chart.

See an example pareto chart of visits to this website:

pareto chart example

(Please note that in this example, the 80/20 rule does not hold as I have chosen very small sample of data. In reality, the 80/20 principle applies to my website as well)

Making a Pareto Chart in Excel

In order to make the pareto chart in excel, first you must have the data ready. Once we have the values for each cause, we can easily calculate cumulative percentages using excel formulas. We will also require a dummy series to display the “cutoff %” in the Pareto chart.

I have arranged the data in this format. You can choose any format that works for you.

Pareto analysis - data

Once you have the data ready, making the pareto chart is a simple 5 step process.

1. Make a column chart using cause importance data

Make a column chart using cause importance data
In our case, we select the first 2 columns in the above table and then make a new column chart.

2. Add the cumulative %s to the Pareto Chart as a line

Add the cumulative %s to the Pareto Chart as a line
Select the third column, press ctrl+c (copy). Now select the chart and press ctrl+v (paste). Excel will add another column series to the chart. Just select it and change the series chart type to “line chart”. Learn more about combining 2 different chart types in excel combo charts.

3. Move the cumulative %s line to secondary axis

Move the cumulative %s line to secondary axischange to secondary axis

Select the line chart, go to “format data series” (you can also press ctrl+1) and change the axis for this chart series from “primary” to “secondary”.

4. Add the cut-off % to the pareto chart

Add the cut-off % to the pareto chart
Select the fourth column in our data table, copy and paste it in the chart. This should ideally be pasted as a new line chart. If not, follow step 2 for this as well.

5. Finally, adjust formatting to make the final pareto chart

Finally, adjust formatting to make the final pareto chart
Now, our basic pareto chart is ready. We should adjust the chart formatting to make it more presentable. Once you are done, the final output will be something like above chart.

Download the Pareto Chart Template in Excel

Click here to download the excel pareto chart template.

When to use Pareto Chart?

Pareto charts can be used,

  • During quality control to analyze the causes of defects and failures
  • When you want to focus your resources on few important items from a large list of possibles
  • To tell the story that attacking problem A might be better than solving problem C, D and F

Pareto charts and pareto analysis has great practical uses for almost anyone in a managerial role.

Have you used Pareto analysis or Pareto charts in your job?

Pareto principle is the first real management lesson I have learned during my MBA. It is the topic for my first presentation too. During the presentation, Anoop, my jovial team mate said, “80-20 principle can be tested anywhere. For eg. in most parties 80% of the beer will be consumed by 20% of people”, and the whole class started laughing.

Jokes apart, I think pareto principle is a very powerful idea told in an extremely simple way. I use the pareto analysis to find best way to invest my time. What about you? Tell me about your experiences of using pareto analysis using comments.

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13 Responses to “Using pivot tables to find out non performing customers”

  1. David Onder says:

    To avoid the helper column and the macro, I would transpose the data into the format shown above (Name, Year, Sales).  Now I can show more than one year, I can summarize - I can do many more things with it.  ASAP Utilities (http://www.asap-utilities.com) has a new experimental feature that can easily transpose the table into the correct format.  Much easier in my opinion.

    David 

    • Chandoo says:

      Of course with alternative data structure, we can easily setup a slicer based solution so that everything works like clockwork with even less work.

  2. Martin says:

    David, I was just about to post the same!
    In Contextures site, I remember there's a post on how to do that. Clearly, the way data is layed out on the very beginning is critical to get the best results, and even you may thinkg the original layout is the best way, it is clearly not. And that kind of mistakes are the ones I love ! because it teaches and trains you to avoid them, and how to think on the data structure the next time.
     
    Eventually, you get to that place when you "see" the structure on the moment the client tells you the request, and then, you realized you had an ephiphany, that glorious moment when data is no longer a mistery to you!!!
     
    Rgds,

  3. JMarc says:

    Chandoo,
    If the goal is to see the list of customers who have not business from yearX, I would change the helper column formula to :  =IF(selYear="all",sum(C4:M4),sum(offset(C4:M4,,selyear-2002,1,columns(C4:M4)-selyear+2002)))
     This formula will sum the sales from Selected Year to 2012.

    JMarc

  4. Elias says:

    If you are already using a helper column and the combox box runs a macro after it changes, why not just adjust the macro and filter the source data?
     
    Regards

  5. RichW says:

    I gotta say, it seems like you are giving 10 answers to 10 questions when your client REALLY wants to know is: "What is the last year "this" customer row had a non-zero Sales QTY?... You're missing the forest for the trees...
    Change the helper column to:
    =IFERROR(INDEX(tblSales[[#Headers],[Customer name]:[Sales 2012]],0,MATCH(9.99999999999999E+307,tblSales[[#This Row],[Customer name]:[Sales 2012]],1)),"NO SALES")
    And yes, since I'm matching off of them for value, I would change the headers to straight "2002" instead of "Sales 2002" but you sort the table on the helper column and then and there you can answer all of your questions.

  6. Kevin says:

    Hi thanks for this. Just can't figure out how you get the combo box to control the pivot table. Can you please advise?
     
    Cheers

  7. Kevin says:

    Thanks Chandoo. But I know how to insert a combobox, I was more referring to how does in control the year in the pivot table? Or is this obvious?  I note that if I select the Selected Year from the PivotTable Field List it says "the field has no itens" whereas this would normally allow you to change the year??
     
    Thanks again

  8. Kevin says:

     
    worked it out thanks...
    when =data!Q2 changes it changes the value in column N:N and then when you do a refreshall the pivottable vlaues get updated 
     
    Still not sure why PivotTable Field List says “the field has no itens"?? I created my own pivot table and could not repeat that.

  9. Bermir says:

    Hi, I put the sales data in range(F5:P19) and added a column D with the title 'Last sales in year'. After that, in column D for each customer, the simple formula

    =2000+MATCH(1000000,E5:P5)

    will provide the last year in which that particular customer had any sales, which can than easily be managed by autofilter.

    • Bermir says:

      Somewhat longer but perhaps a bit more solid (with the column titles in row 4):

      =RIGHT(INDEX($F$4:$P$19,1,MATCH(1000000,F5:P5)),4)

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