In How Many Links are Too Many Links, O’Reilly radar shows us this unfortunate bubble chart. (click on the image to see a bigger version)
I say unfortunate for the lack of a better word without sounding harsh.
Just in case you are wondering what that chart is trying to tell (which is perfectly fine)
Nick Bilton, who constructed this chart, got curious and went to the top 98 websites in the world and found out how many links they have on their home page. Then he used charting tools like processing to create the bathing bubbles you are seeing aside.
The conclusion ?
Too many bubbles can drown you. And also, top web sites have lots and lots of links on their home pages.
But seriously, apart from looking really pretty, does this chart actually provide that conclusion?
I think Nick and the O’Reilly radar team could have much better with a simpler and fortunate chart selection.
A histogram of # of links on popular home pages
like the one below would have been very easy to read and get the point.
I showed some dummy data in the histogram, but when you create 2 histograms, one for popular sites (ranked below 5000) and one for not-so-popular sites (>5000) you can easily make the point and use the bubbles for a warm bath.
A better alternative is to show a scatter chart
with site rank on one axis and # of links on home page on another axis, that way a conclusion like Top Sites Links More can be easily established.
Even a bar chart with number of links on each home page
could have been better than umpteen bubbles
You could easily add a bar with “avg. number of links on non-popular sites” to contrast the linking behaviour of large sites wrt small sites.
But alas, we are treated to an unfortunate bubble chart that does nothing but look pretty (and ridiculously large)
What do you think ? How many bubbles are too many ?
Recommended Reading on Bubble Charts: Travel Site Search Patterns in Bubbles, Good Bubble Chart about the Bust. Olympic Medals per Country
13 Responses to “Using pivot tables to find out non performing customers”
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
Of course with alternative data structure, we can easily setup a slicer based solution so that everything works like clockwork with even less work.
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,
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
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
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.
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
@Kevin.. You are welcome. To insert a combo box, go to Developer ribbon > Insert > form controls > combo box.
For more on various form controls and how to use them, please read this: http://chandoo.org/wp/2011/03/30/form-controls/
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
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.
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.
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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