Install Eclipse under ubuntu 12.04

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Install (just extract the gz file to your home drive if you want) the version on the Eclipse web site, then create a file called eclipse.desktop and give it the following contents:

#!/usr/bin/env xdg-open
 
[Desktop Entry]
Version=1.0
Type=Application
Terminal=false
StartupNotify=true
Icon=/home/mike/eclipse/icon.xpm
Name=Eclipse Indigo 3.7
#Exec=env UBUNTU_MENUPROXY=0 <path-to-eclipse-install>/eclipse
Exec=env /home/mike/eclipse/eclipse

making sure you put the correct path in the two places you need it (the execution path and the image path)

Arrived

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After a 5 or 6 hour journey without traffic problems we have blebbed out the excessive contents of the car into the chalet. And i am mighty glad to do it. The family were completely well behaved.

Calculate Percentiles with MS-SQL 2005 using interpolation…

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You’ll need MS SQL 2005 or above, it looks like version 2012 has it built in see here!
This is my first use of the OVER bit so it may be a little ugly, also I have been using the old way to pivot stuff so it’s a bit messy at the end.

declare @t table (percentile numeric(10,5))
insert into @t values (0)
insert into @t values (0.25)
insert into @t values (0.5)
insert into @t values (0.75)
insert into @t values (0.8)
insert into @t values (1.0)
 
--give rownumbers for your data over a partition
drop table ##mgw
SELECT 
	s.gppraccode
	,age
	,ROW_NUMBER() OVER (partition by gppraccode ORDER BY age) AS "RowNumber"
INTO ##mgw
FROM mgw_ane_base AS s 
 
--calculate the individual values per percentile
drop table ##mgw_percentileHolding
select	t.percentile*(max(rownumber)-1)+1 as act
		,floor(t.percentile*(max(rownumber)-1)+1) as K
		,((t.percentile*(max(rownumber)-1)+1) % 1) as D
		,count(*) as N
		,t.percentile
		,a.gppraccode
into ##mgw_percentileHolding
from ##mgw as a join @t as t on 1=1
group by t.percentile,a.gppraccode
 
--fold it all over in a manual-ish pivot
select 
	gppraccode
	,max(case when percentile=0 then PercentileValue end) as [0%]
	,max(case when percentile=0.25 then PercentileValue end) as [25%]
	,max(case when percentile=0.5 then PercentileValue end) as [50%]
	,max(case when percentile=0.75 then PercentileValue end) as [75%]
	,max(case when percentile=0.8 then PercentileValue end) as [80%]
	,max(case when percentile=1 then PercentileValue end) as [100%]
	,N
FROM
	(
	SELECT 
	*
	,(SELECT max(age) from ##mgw as b where b.rownumber<=a.act and a.gppraccode=b.gppraccode) as below
	,(SELECT min(age) from ##mgw as b where b.rownumber>=a.act  and a.gppraccode=b.gppraccode) as above
	,(SELECT min(age) from ##mgw as b where b.rownumber>=a.act  and a.gppraccode=b.gppraccode)-(select max(age) from ##mgw as b where b.rownumber<=a.act and a.gppraccode=b.gppraccode ) as f
	,case	when percentile=0 then (SELECT min(age) from ##mgw as b where a.gppraccode=b.gppraccode) 
			when percentile=1 then (SELECT max(age) from ##mgw as b where a.gppraccode=b.gppraccode)  
			else (SELECT max(age) from ##mgw as b where b.rownumber<=a.act and a.gppraccode=b.gppraccode)+D*((select min(age) from ##mgw as b where b.rownumber>=a.act and a.gppraccode=b.gppraccode)-(select max(age) from ##mgw as b where b.rownumber<=a.act and a.gppraccode=b.gppraccode)) end as PercentileValue
	FROM ##mgw_percentileHolding as a
) as internal
group by gppraccode,N
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Row_number(), dense Rank rank etc

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You need SQL 2005 or greater for this:
Rownumbers with partitions:

SELECT
    s.gppraccode
    ,age
    ,ROW_NUMBER()OVER (PARTITION BY gppraccode ORDER BY age asc) As [RowNumber]
FROM mgw_ane_base AS s

SELECT s.gppraccode, age
    ,ROW_NUMBER() OVER (ORDER BY age) AS "RowNumber"
    ,RANK() OVER (ORDER BY age) AS Rank
    ,DENSE_RANK() OVER (ORDER BY age) AS "DenseRank"
    ,NTILE(10) OVER (ORDER BY age) AS Quartile
INTO ##mgw
FROM mgw_ane_base AS s
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