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 “Data Validation using an Unsorted column with Duplicate Entries as a Source List”
Pivot Table will involve manual intervention; hence I prefer to use the 'countif remove duplicate trick' along with 'text sorting formula trick; then using the offset with len to name the final range for validation.
if using the pivot table, set the sort to Ascending, so the list in the validation cell comes back alphabetically.
Hui: Brillant neat idea.
Vipul: I am intrigued by what you are saying. Please is it possible to show us how it can be done, because as u said Hui's method requires user intervention.
Thks to PHD and all
K
Table names dont work directly inside Data validation.
You will have to define a name and point it to the table name and then use the name inside validation
Eg MyClient : Refers to :=Table1[Client]
And then in the list validation say = MyClient
Kieranz,
Pls download the sample here http://cid-e98339d969073094.skydrive.live.com/self.aspx/.Public/data-validation-unsorted-list-example.xls
Off course there are many other ways of doing the same and integrating the formulae in multiple columns into one.
Pls refer to column FGHI in that file. Cell G4 is where my validation is.
Vipul:
Many thks, will study it latter.
Rgds
K
[...] to chandoo for the idea of getting unique list using Pivot tables. What we do is that create a pivot table [...]
@Vipul:
Thanks, that was awesome! 🙂
@Playercharlie Happy to hear that 🙂
Great contribution, Hui. Solved a problem of many years!
Thanks to you, A LOT
Hi Hui,
Greeting
hope you are doing well.
I'm interested to send you a private vba excel file which i need to show detail of pivot in new workbook instead of showing in same workbook as new sheet.
Please contact me on muhammed.ye@gmail.com
Best Regards