X axis to represent Yearin weeks and months ?

I want to create an X axis to represent a year in weeks and months. Anyone know how please ?
The current limits of 10 max for major and minor will not allow a sensible scale or grid.

You made two mistakes.
(1) I don't know how many times it will be necessary to repeat that _date-time items aren't numerical ones._
Given that, the chart use them as labels, not as numerical values.
(2) You didn't read carefully the User Guides which states that each point requires a pair of values.
You tried to chart three columns when four are required.
Here you may see the way date_time values are treated.
In Tableau 2 I added a column calculating a numerical value describing the date_time ones.
To do that I use:
=1+DATEDIF($A$2,A,"D")
in B2
then I apply fill_down.
And I use = B in column D
I added 1 to DATEDIF so that the numerical value matches the index of the day in the month.
I'm no sure that it would be a good idea if dates span on several months.
If you wish to display the dates on the X axis, you will be forced to use a text box like the one which is displayed.
To adjust the spacing I played with the attribute: "between".
Yvan KOENIG (VALLAURIS, France) jeudi 27 août 2009 15:36:23

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select 'Topshop' brand, to_date('10-JUL-11', 'dd-mon-yy') deliverydate, '100' qty from dual union all
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 , trunc(deliverydate, 'day') WEEK_START
 , sum(TO_NUMBER(qty)) SUM_QTY
 from tab
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 , trunc(deliverydate, 'day')
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 from (
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 from week_data
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select
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weeks.week_start,
nvl(week_data.sum_qty,0) sum_qty
from week_data
partition by (brand)
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on (weeks.week_start = week_data.week_start)
order by
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week_data.brand;You construct a set of records of all "week_start" dates from your minimum to your maximum (classic connect by level trick.)
You use a partitioned outer join to fill in the gaps in your sparse data (see doc example [url http://download.oracle.com/docs/cd/E11882_01/server.112/e17118/statements_10002.htm#i2177515]here.
Hope that helps you :-)
(PS. I dislike implicit conversions - that is the only reason I have added a TO_NUMBER to your code within the sum() ;-) )
(PPS. Actually you probably should have asked this in a new question - I believe it is not really good forum etiquette to continue in a thread that has already been answered...)

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