I have been researching through the posted material on the site and can't figure if it is GROUP BY or PARTITION BY and I can't seem to get the answer I want.
What I have is an enormous amount of TAG data and what I need is to retrieve a history of locations that it was seen at i.e. show me the last time it was seen at a particular location.
I have added a small subset of the data.
What I would want to see is by date Order being newest first so I would expect to see ROW 01 as the first in location ...004 and then next entry would be ROW 209 as it it the latest entry for ...50 and then ROW 216 ..004 again so everytime there is a change.
Can this be done with a SQL Statement
Thanks for any help you can offer
ROW TAG DATE
001 004 2012-10-19 10:20
002 004 2012-10-19 10:10
003 004 2012-10-19 10:00
209 050 2012-10-19 08:50
210 050 2012-10-19 08:40
211 050 2012-10-19 08:30
216 004 2012-10-19 07:30
217 004 2012-10-19 02:20
Here is how it can be done:
with last_records_tagged as (
select
row,
tag,
date,
case when lead(tag) over (partition by tag order by date asc) is null
then 1
else 0
end as last
from your_table
)
select * from last_records_tagged where last = 1
(I ordered ascending by date because it makes more sense to me).
Basically, any time the next record, ordered by date, has a different tag, you know you are at the last record of that group.
Related
i have a table with detail transaction for lot. Lot are harvest and store before being ship.
Date lot transaction qty
5 sept 3 store 300
8 sept 3 ship -50
10 oct 3 ship -20
15 nov 3 ship -20
...
If i want the inventory for a specific moment, i simply sum between to date
I would like a query that can give me a sum from store to a specific month throught the entirr year like:
Lot sept to oct to nov ...
3 250 230 210 ...
Select lot, sum(qty) from ... where (date > 1 sept and date < 1 oct) as sept, (date > 1 sept and date < 1 nov)... group by lot
I did'nt find anything or figure out how to do it i a simple query.
Regards
Obtain one table with a query where is see the evolution of quantity over the year.
I am having difficulty achieving this functionality in SPSS. The data set is formatted like this (apologies for the excel format)
In this example, the AGGREGATE function was used to combine the cases by the same variable. In other words, CITY, Tampa in the example, is the break variable.
Unfortunately, each entry for Tampa gives 10 unique temperatures for each day. So the first entry for Tampa is days 0-10, and the second is days 10-20, they provide useful information. I can't figure out how to use the aggregate function to create new variables to avoid losing these days. I want to do this, as I want to be able to run tests on the mean temperature in Tampa over days 0-20, relative to days 0-20 in other cities.
My current syntax is:
AGGREGATE
/OUTFILE=* MODE=ADDVARIABLES
/BREAK=CITY
/Temp=Max(Temp).
But this doesn't create the variables, and I'm not sure where to start on that end. I checked the SPSS manual and didn't see this as an option within aggregate, any idea on what function might allow this functionality?
If I understand right, you are trying to reorganize all the CITY information into one line, and not to aggregate it. So what you are looking for is the restructure command casestovars.
First we'll create some fake data to demonstrate on:
data list list/City (a10) temp1 to temp10 (10f6).
begin data
Tampa 10 11 12 13 14 15 16 17 18 19
Boston 20 21 22 23 24 25 26 27 28 29
Tampa 30 31 32 33 34 35 36 37 38 39
NY 40 41 42 43 44 45 46 47 48 49
Boston 50 51 52 53 54 55 56 57 58 59
End data.
casestovars needs an index variable (e.g number of row within city). In your example your data doesn't have an index, so the following commands will create one:
sort cases by CITY.
if $casenum=1 or city<>lag(city) IndVar=1.
if city=lag(city) IndVar=lag(IndVar)+1.
format IndVar(f2).
Now we can restructure:
sort cases by CITY IndVar.
casestovars /id=CITY /index=IndVar/separator="_"/groupby=index.
This will also work if you have more rows per city.
Important note: my artificial index (IndVar) doesn't necessarily reflect the original order of rows in your file. If your file really doesn't contain an index and isn't ordered so the first row represents the first measurements etc', the restructured file will accordingly not be ordered either: the earlier measurements might appear on the left or on the right of the later ones - according to their order in the original file. To avoid this you should try to define a real index and use it in casestovars.
Run EXECUTE or Transform > Run Pending Transformations to see the results of the AGGREGATE command.
I am trying to update a only one record on a specific date, where there are multiple records on that date... It doesn't matter which one. Below is the output I am looking for.
id date charge
01 1/1/2014 75
02 1/1/2014 0
03 1/1/2014 0
04 1/2/2014 75
05 1/3/2014 75
06 1/3/2014 0
it does matter which id is updated, i just need one updated on on that date. Any suggestion, or if you could point me in the right direction, it would be greatly appreciated.
I have crystal generating the following output in my Details section
Cats Group
Number How Old
________________________
12 0-30 days old
32 0-30 days old
34 31-60 days old
Dogs Group
Number How Old
________________________
22 over 61 days old
123 0-30 days old
but i need the above info in a table format
Group 0-30 days old 31-60 days old over 61 days old
______________________________________________________
Cats 2 1 0
Dogs 1 0 1
thanks
You need a Cross-Tab;
Open Cross-tab expert
Drag group into columns
Drag animal type into rows
Drag animalinto value and set count as summarize option
I have a ssas cube with the fact table containing:
FactID
Status
StartDate
EndDate
the dates are linked to a date dimension (status to the status dimension).
Im trying to get a report that shows the amount of facts at a status on each day over a two week period, eg:
01 May 2011, 02 May 2011, 03 May 2011 etc...
status1 300 310 320 ...
status2 250 240 265 ...
status3 125 546 123 ...
I can obtain the data for a single day using the following:
select
{
[TOTAL NUMBER FACT]
} on 0
,{
descendants([DIM STATUS].[STATUS DESCRIPTION])
} on 1
from [DW_CUBE]
WHERE
([DIM HISTORY START DATE].[YEAR MONTH DAY].FirstMember:[DIM HISTORY START DATE].[YEAR MONTH DAY].&[20110501],
[DIM HISTORY END DATE].[YEAR MONTH DAY].&[20110501]:[DIM HISTORY END DATE].[YEAR MONTH DAY].LastMember)
but do i get this working for more than a single day?
Many many thanks
Have a look at the following links:
http://www.bp-msbi.com/2010/10/avoiding-multiple-role-playing-date-dimensions/
http://cwebbbi.wordpress.com/2011/01/21/solving-the-events-in-progress-problem-in-mdx-part-1/
In brief, you can use MDX to do this with LinkMember, or if you are counting events in progress - with counting from begin of time till now and subtracting one event from another.
You can also solve the problem with modelling - in my post by pivoting and in Chris's follow-up with role-playing measure groups.