Seperating data with multiple headers
Hello,
I have a data set that has 6 columns with headers containing information for one cycle of a part (Data File is Attached). About 200 rows later I have another set of data with 6 columns for cycle 2 with a space and a new header, and at about another 400 rows later I have the data for cycle 5 with a space and a new header. This pattern repeats throughout the data set.
I need a way to seperate this data so that I can plot the individual cycles. When I import this data set into Diadem with the DataPlugin Wizzard it does not recognize the spaces and new headers. It labels the spaces and headers as "NO VALUE", so there are discontinuities in the data. Is there a way to seperate the cycles in this data set in Diadem?
For example, I would like to have rows 6 thru 215, rows 220 thru 630, rows 635 thru 1046, rows 1051 thru 1462, etc. This way I can plot the individual cycles against the running time.
Solved!
Go to Solution.
Attachments:
Sample_Data2.csv 774 KB
Hi wils01,
Here's a DataPlugin I created that loads your posted data file with each cycle in a separate Data Portal Group.
Brad Turpin
DIAdem Product Support Engineer
National Instruments
Attachments:
wils01_Cycles_CSV.uri 9 KB
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Author: [email protected]
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QA: Yes - try again with legacy-collection true and false.
Doc: No
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Revision: 931
Author: [email protected]
Date: 2008-03-26 11:31:01 -0700 (Wed, 26 Mar 2008)
Log Message:
Bug: BLZ-96 - When sending a HttpService request from ActionScript with multiple headers with the same name, it causes a ClassCastException in the server
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Doc: No
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<removed by moderator>
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Message was edited by:
Manish Kumar
Message was edited by:
Manish Kumar -
Fetch Multiple row in repor to insert data with multiple rows .
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LookupSet Function (Report Builder and SSRS)
Best Regards,
Simon Hou
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select 1083,1,2686,to_date('4/10/2013','mm-dd-yyyy'),7210,51,9,0,11,11 from dual union all
select 3407,1,2686,to_date('4/10/2013','mm-dd-yyyy'),7211,51,9,0,11,11 from dual union all
select 18109,1,2686,to_date('4/10/2013','mm-dd-yyyy'),17391,51,9,0,11,11 from dual union all
select 1082,1,2686,to_date('4/11/2013','mm-dd-yyyy'),7210,51,9,0,11,11 from dual union all
select 3406,1,2686,to_date('4/11/2013','mm-dd-yyyy'),7211,51,9,0,11,11 from dual union all
select 18108,1,2686,to_date('4/11/2013','mm-dd-yyyy'),17391,51,9,0,11,11 from dual union all
select 1081,1,2686,to_date('4/12/2013','mm-dd-yyyy'),7210,51,9,0,11,11 from dual union all
select 3405,1,2686,to_date('4/12/2013','mm-dd-yyyy'),7211,51,9,0,11,11 from dual union all
select 18107,1,2686,to_date('4/12/2013','mm-dd-yyyy'),17391,51,9,0,11,11 from dual union all
select 1080,1,2686,to_date('4/13/2013','mm-dd-yyyy'),7210,51,9,0,11,11 from dual union all
select 3404,1,2686,to_date('4/13/2013','mm-dd-yyyy'),7211,51,9,0,11,11 from dual union all
select 18106,1,2686,to_date('4/13/2013','mm-dd-yyyy'),17391,51,9,0,11,11 from dual union all
select 1079,1,2686,to_date('4/14/2013','mm-dd-yyyy'),7210,51,9,0,11,11 from dual union all
select 3403,1,2686,to_date('4/14/2013','mm-dd-yyyy'),7211,51,9,0,11,11 from dual union all
select 18105,1,2686,to_date('4/14/2013','mm-dd-yyyy'),17391,51,9,0,11,11 from dual union all
select 17390,1,3034,to_date('4/1/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 17389,1,3034,to_date('4/2/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 17388,1,3034,to_date('4/3/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 17387,1,3034,to_date('4/4/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 17386,1,3034,to_date('4/5/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 7305,1,3034,to_date('4/6/2013','mm-dd-yyyy'),5394,44,0,0,7,14 from dual union all
select 17385,1,3034,to_date('4/6/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 14123,1,3034,to_date('4/6/2013','mm-dd-yyyy'),22421,44,0,0,7,14 from dual union all
select 17384,1,3034,to_date('4/7/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 17383,1,3034,to_date('4/8/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 7302,1,3034,to_date('4/9/2013','mm-dd-yyyy'),5394,44,0,0,7,14 from dual union all
select 17382,1,3034,to_date('4/9/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 14120,1,3034,to_date('4/9/2013','mm-dd-yyyy'),22421,44,0,0,7,14 from dual union all
select 7301,1,3034,to_date('4/10/2013','mm-dd-yyyy'),5394,44,0,0,7,14 from dual union all
select 17381,1,3034,to_date('4/10/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 14119,1,3034,to_date('4/10/2013','mm-dd-yyyy'),22421,44,0,0,7,14 from dual union all
select 7300,1,3034,to_date('4/11/2013','mm-dd-yyyy'),5394,44,0,0,7,14 from dual union all
select 17380,1,3034,to_date('4/11/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 14118,1,3034,to_date('4/11/2013','mm-dd-yyyy'),22421,44,0,0,7,14 from dual union all
select 7299,1,3034,to_date('4/12/2013','mm-dd-yyyy'),5394,44,0,0,7,14 from dual union all
select 17379,1,3034,to_date('4/12/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 14117,1,3034,to_date('4/12/2013','mm-dd-yyyy'),22421,44,0,0,7,14 from dual union all
select 7298,1,3034,to_date('4/13/2013','mm-dd-yyyy'),5394,44,0,0,7,14 from dual union all
select 17378,1,3034,to_date('4/13/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 14116,1,3034,to_date('4/13/2013','mm-dd-yyyy'),22421,44,0,0,7,14 from dual union all
select 7297,1,3034,to_date('4/14/2013','mm-dd-yyyy'),5394,44,0,0,7,14 from dual union all
select 17377,1,3034,to_date('4/14/2013','mm-dd-yyyy'),5395,298,0,0,14,14 from dual union all
select 14115,1,3034,to_date('4/14/2013','mm-dd-yyyy'),22421,44,0,0,7,14 from dual
)the script that I am using:
select
t.*/
case
when lag(dt) over(partition by c_id, d_val order by dt, u_key)+1 = dt
then'Lag'
when lead(dt) over(partition by c_id, d_val order by dt, u_key)-1 = dt
then 'Lead_1'
when consecutivedaysc = 1
then'Lead_3'
else 'wrong'
end LeadLagD_VAL,
case
when lag(dt) over(partition by w_id, c_id, d_val_present,gwid order by dt)+1 = dt
then'Lag'
when lead(dt) over(partition by w_id, c_id, d_val_present, gwid order by dt)-1 = dt
then 'Lead_A'
when consecutivedaysw = 1
then 'Lead_B'
else 'wrong'
end Lead_Lag2
from t
order by
W_ID,
dt asc,
C_ID asc
;the results should look like this (but haveing issues)
u_key D_VAL_PRESENT W_ID C_ID DT D_VAL GWID GCID CONSECUTIVEDAYSC CONSECUTIVEDAYSW LEADLAGD_VAL LEAD_LAG2
4592 0 2004 2059 01-APR-13 0 13 1 1 Lead_1 Lead_A
4591 1 2004 2059 02-APR-13 44 1 11 2 13 Lead_1 Lead_A
4590 1 2004 2059 03-APR-13 44 1 11 2 13 Lag Lag
4589 1 2004 2059 04-APR-13 389 1 0 11 13 Lead_1 Lag
4588 1 2004 2059 05-APR-13 389 1 0 11 13 Lag Lag
4587 1 2004 2059 06-APR-13 389 1 0 11 13 Lag Lag
4586 1 2004 2059 07-APR-13 389 1 0 11 13 Lag Lag
4585 1 2004 2059 08-APR-13 389 1 0 11 13 Lag Lag
4584 1 2004 2059 09-APR-13 389 1 0 11 13 Lag Lag
4583 1 2004 2059 10-APR-13 389 1 0 11 13 Lag Lag
4582 1 2004 2059 11-APR-13 389 1 0 11 13 Lag Lag
4581 1 2004 2059 12-APR-13 389 1 0 11 13 Lag Lag
4580 1 2004 2059 13-APR-13 389 1 0 11 13 Lag Lag
4579 1 2004 2059 14-APR-13 389 1 0 11 13 Lag Lag
1092 0 2686 7210 01-APR-13 0 11 3 3 Lead_1 Lead_A
3416 0 2686 7211 01-APR-13 0 11 3 3 Lead_1 Lead_A
18118 0 2686 17391 01-APR-13 0 11 3 3 Lead_1 Lead_A
1091 0 2686 7210 02-APR-13 0 11 3 3 Lag Lag
3415 0 2686 7211 02-APR-13 0 11 3 3 Lag Lag
18117 0 2686 17391 02-APR-13 0 11 3 3 Lag Lag
1090 0 2686 7210 03-APR-13 0 11 3 3 Lag Lag
3414 0 2686 7211 03-APR-13 0 11 3 3 Lag Lag
18116 0 2686 17391 03-APR-13 0 11 3 3 Lag Lag
1089 1 2686 7210 04-APR-13 51 9 0 11 11 Lead_1 Lead_A
3413 1 2686 7211 04-APR-13 51 9 0 11 11 Lead_1 Lead_A
18115 1 2686 17391 04-APR-13 51 9 0 11 11 Lead_1 Lead_A
1088 1 2686 7210 05-APR-13 51 9 0 11 11 Lag Lag
3412 1 2686 7211 05-APR-13 51 9 0 11 11 Lag Lag
18114 1 2686 17391 05-APR-13 51 9 0 11 11 Lag Lag
1087 1 2686 7210 06-APR-13 51 9 0 11 11 Lag Lag
3411 1 2686 7211 06-APR-13 51 9 0 11 11 Lag Lag
18113 1 2686 17391 06-APR-13 51 9 0 11 11 Lag Lag
1086 1 2686 7210 07-APR-13 51 9 0 11 11 Lag Lag
3410 1 2686 7211 07-APR-13 51 9 0 11 11 Lag Lag
18112 1 2686 17391 07-APR-13 51 9 0 11 11 Lag Lag
1085 1 2686 7210 08-APR-13 51 9 0 11 11 Lag Lag
3409 1 2686 7211 08-APR-13 51 9 0 11 11 Lag Lag
18111 1 2686 17391 08-APR-13 51 9 0 11 11 Lag Lag
1084 1 2686 7210 09-APR-13 51 9 0 11 11 Lag Lag
3408 1 2686 7211 09-APR-13 51 9 0 11 11 Lag Lag
18110 1 2686 17391 09-APR-13 51 9 0 11 11 Lag Lag
1083 1 2686 7210 10-APR-13 51 9 0 11 11 Lag Lag
3407 1 2686 7211 10-APR-13 51 9 0 11 11 Lag Lag
18109 1 2686 17391 10-APR-13 51 9 0 11 11 Lag Lag
1082 1 2686 7210 11-APR-13 51 9 0 11 11 Lag Lag
3406 1 2686 7211 11-APR-13 51 9 0 11 11 Lag Lag
18108 1 2686 17391 11-APR-13 51 9 0 11 11 Lag Lag
1081 1 2686 7210 12-APR-13 51 9 0 11 11 Lag Lag
3405 1 2686 7211 12-APR-13 51 9 0 11 11 Lag Lag
18107 1 2686 17391 12-APR-13 51 9 0 11 11 Lag Lag
1080 1 2686 7210 13-APR-13 51 9 0 11 11 Lag Lag
3404 1 2686 7211 13-APR-13 51 9 0 11 11 Lag Lag
18106 1 2686 17391 13-APR-13 51 9 0 11 11 Lag Lag
1079 1 2686 7210 14-APR-13 51 9 0 11 11 Lag Lag
3403 1 2686 7211 14-APR-13 51 9 0 11 11 Lag Lag
18105 1 2686 17391 14-APR-13 51 9 0 11 11 Lag Lag
17390 1 3034 5395 01-APR-13 298 0 0 14 14 Lead_1 Lead_A
17389 1 3034 5395 02-APR-13 298 0 0 14 14 Lag Lag
17388 1 3034 5395 03-APR-13 298 0 0 14 14 Lag Lag
17387 1 3034 5395 04-APR-13 298 0 0 14 14 Lag Lag
17386 1 3034 5395 05-APR-13 298 0 0 14 14 Lag Lag
7305 1 3034 5394 06-APR-13 44 0 0 7 14 Lead_1 Lag
17385 1 3034 5395 06-APR-13 298 0 0 14 14 Lag Lag
14123 1 3034 22421 06-APR-13 44 0 0 7 14 Lead_1 Lag
17384 1 3034 5395 07-APR-13 298 0 0 14 14 Lag Lag
17383 1 3034 5395 08-APR-13 298 0 0 14 14 Lag Lag
7302 1 3034 5394 09-APR-13 44 0 0 7 14 Lead_1 Lag
17382 1 3034 5395 09-APR-13 298 0 0 14 14 Lag Lag
14120 1 3034 22421 09-APR-13 44 0 0 7 14 Lead_1 Lag
7301 1 3034 5394 10-APR-13 44 0 0 7 14 Lag Lag
17381 1 3034 5395 10-APR-13 298 0 0 14 14 Lag Lag
14119 1 3034 22421 10-APR-13 44 0 0 7 14 Lag Lag
7300 1 3034 5394 11-APR-13 44 0 0 7 14 Lag Lag
17380 1 3034 5395 11-APR-13 298 0 0 14 14 Lag Lag
14118 1 3034 22421 11-APR-13 44 0 0 7 14 Lag Lag
7299 1 3034 5394 12-APR-13 44 0 0 7 14 Lag Lag
17379 1 3034 5395 12-APR-13 298 0 0 14 14 Lag Lag
14117 1 3034 22421 12-APR-13 44 0 0 7 14 Lag Lag
7298 1 3034 5394 13-APR-13 44 0 0 7 14 Lag Lag
17378 1 3034 5395 13-APR-13 298 0 0 14 14 Lag Lag
14116 1 3034 22421 13-APR-13 44 0 0 7 14 Lag Lag
7297 1 3034 5394 14-APR-13 44 0 0 7 14 Lag Lag
17377 1 3034 5395 14-APR-13 298 0 0 14 14 Lag Lag
14115 1 3034 22421 14-APR-13 44 0 0 7 14 Lag Lag I place the "wrong" showing that neither the when conditions were no able to work.
any suggestions on a better direction for me to solve this?
Edited by: 1004407 on May 23, 2013 1:16 PM
Then I am trying to get this, not to include C_ID
u_key D_VAL_PRESENT W_ID DT CONSECUTIVEDAYSW LEAD_LAG2
4592 0 2004 01-APR-13 1 Lead_A
4591 1 2004 02-APR-13 13 Lead_A
4590 1 2004 03-APR-13 13 Lag
4589 1 2004 04-APR-13 13 Lag
4588 1 2004 05-APR-13 13 Lag
4587 1 2004 06-APR-13 13 Lag
4586 1 2004 07-APR-13 13 Lag
4585 1 2004 08-APR-13 13 Lag
4584 1 2004 09-APR-13 13 Lag
4583 1 2004 10-APR-13 13 Lag
4582 1 2004 11-APR-13 13 Lag
4581 1 2004 12-APR-13 13 Lag
4580 1 2004 13-APR-13 13 Lag
4579 1 2004 14-APR-13 13 Lag
1092 0 2686 01-APR-13 3 Lead_A
1091 0 2686 02-APR-13 3 Lag
1090 0 2686 03-APR-13 3 Lag
1089 1 2686 04-APR-13 11 Lead_A
1088 1 2686 05-APR-13 11 Lag
1087 1 2686 06-APR-13 11 Lag
1086 1 2686 07-APR-13 11 Lag
1085 1 2686 08-APR-13 11 Lag
1084 1 2686 09-APR-13 11 Lag
1083 1 2686 10-APR-13 11 Lag
1082 1 2686 11-APR-13 11 Lag
1081 1 2686 12-APR-13 11 Lag
1080 1 2686 13-APR-13 11 Lag
1079 1 2686 14-APR-13 11 Lag
17390 1 3034 01-APR-13 14 Lead_A
17389 1 3034 02-APR-13 14 Lag
17388 1 3034 03-APR-13 14 Lag
17387 1 3034 04-APR-13 14 Lag
17386 1 3034 05-APR-13 14 Lag
7305 1 3034 06-APR-13 14 Lag
17384 1 3034 07-APR-13 14 Lag
17383 1 3034 08-APR-13 14 Lag
7302 1 3034 09-APR-13 14 Lag
7301 1 3034 10-APR-13 14 Lag
7300 1 3034 11-APR-13 14 Lag
7299 1 3034 12-APR-13 14 Lag
7298 1 3034 13-APR-13 14 Lag
7297 1 3034 14-APR-13 14 Lag then into this (which I would use where Lead_Lag2 = "Lead_A"
u_key D_VAL_PRESENT W_ID DT CONSECUTIVEDAYSW LEAD_LAG2
4592 0 2004 01-APR-13 1 Lead_A
4591 1 2004 02-APR-13 13 Lead_A
1092 0 2686 01-APR-13 3 Lead_A
11089 1 2686 04-APR-13 11 Lead_A
17390 1 3034 01-APR-13 14 Lead_A but onething at a time.
Thanks for point out the errors Frank, always helpful to know what others see.
Edited by: 1004407 on May 23, 2013 2:36 PM
Edited by: 1004407 on May 23, 2013 4:01 PMIs this the first set you expect?
SQL> with flagged as
2 (
3 select w_id,d_val,dt,u_key,
4 case when lag(dt) over(partition by w_id,d_val order by dt,u_key)
5 in (dt,dt-1)
6 then 0
7 else 1
8 end flg
9 from t
10 ),
11 summed as
12 (
13 select w_id,d_val,dt,u_key,
14 sum(flg) over(order by w_id,d_val nulls first,dt,u_key) sm
15 from flagged
16 ),
17 day_count as
18 (
19 select w_id,d_val,dt,u_key,count(distinct dt) over(partition by sm) cnt
20 from summed
21 )
22 select w_id,d_val,dt,u_key,cnt
23 from day_count
24 order by w_id,d_val nulls first,dt,u_key;
W_ID D_VAL DT U_KEY CNT
2004 01-APR-13 4592 1
2004 44 02-APR-13 4591 2
2004 44 03-APR-13 4590 2
2004 389 04-APR-13 4589 11
2004 389 05-APR-13 4588 11
2004 389 06-APR-13 4587 11
2004 389 07-APR-13 4586 11
2004 389 08-APR-13 4585 11
2004 389 09-APR-13 4584 11
2004 389 10-APR-13 4583 11
2004 389 11-APR-13 4582 11
2004 389 12-APR-13 4581 11
2004 389 13-APR-13 4580 11
2004 389 14-APR-13 4579 11
2686 01-APR-13 1092 3
2686 01-APR-13 3416 3
2686 01-APR-13 18118 3
2686 02-APR-13 1091 3
2686 02-APR-13 3415 3
2686 02-APR-13 18117 3
2686 03-APR-13 1090 3
2686 03-APR-13 3414 3
2686 03-APR-13 18116 3
..... -
HTML Client Entering/Editing Data With Multiple Tables
Hi guys,
I've been stumped on what seems to be a relatively simple problem for quite some time now. I have a bunch of Products - Dairy, Meat, Produce and Candy, for example. Each Product has multiple ProductConfigurations - say, Monday, Tuesday, Wednesday, Thursday,
and Weekend. Each Product also has its own unique set of ProductAttributes; Meat may have Animal, ExpirationDate, CostPerPound, Kosher for example, while Candy may have Type, Manufacturer, Price, Distributor, and Dairy may have Source, ExpirationDate, UnitCost.
These are just examples, but the point is each Product has unique ProductAttributes.
For each ProductConfiguration (which has a Product), I want to be able to go to this ProductConfiguration and see a list of all its ProductAttributes, and provide an option to edit the ProductAttributeValue (a separate table) for each ProductAttribute. A
ProductAttributeValue has a Value, a ProductAttribute (ie, Manufacturer) and a ProductConfiguration (ie, Tuesday).
The way I currently have it set up is with a clickable List of all ProductAttributes for a given Product (which I get by querying the filter 'ProductAttribute.ProductID = Screen.ProductID' from the ProductAttributes tables). When you click, it brings up
an 'AddNewProductAttributeValue' screen, in which the ProductAttribute is already populated. However, this requires a looot of clicks for Product(Configurations) which have many ProductAttributes. I'd love to be able to configure all of the ProductAttributeValues
for a given ProductConfiguration on one screen.
Any ideas how I could do this?Matt, there are two bits to get the in-built table to play nicely.
// This makes the input textbox focus work better
myapp.AddEditProductConfiguration.created = function (screen) {
var scr = screen;
scr.ProductAttributeValues.addChangeListener("selectedItem", function (eventArgs) {
if (scr.ProductAttributeValues.selectedItem != null) {
var item = scr.ProductAttributeValues.selectedItem;
setTimeout(function () {
$("input", item.details.focusElement).focus();
}, 100);
myapp.AddEditProductConfiguration.Value_postRender = function (element, contentItem) {
contentItem.details._details.focusElement = element;
... the maintenance screen is based on a standard 'AddEdit<entity>' screen tweaked and in msls-2.5.2.js (or earlier) ...
case $.mobile.keyCode.TAB:
//Xpert360: tab
//updateSelectedHeader(table, table._headerRowElement[0]);
break;
... to stop the keyup handler messing up tabbing between input textboxes.
Some code similar to this could pre-populate (or verify) that a configuration has rows of ProductAttributeValues matching ProductAttributes ...
scr.getProductAttributeValues().then(function (values) {
if (scr.ProductAttributeValues.count <= 0) {
scr.getProductAttributes().then(function (values) {
if (scr.ProductAttributes.count > 0) {
scr.ProductAttributes.data.forEach(function(attr, idx, obj){
var attrvalue = scr.ProductAttributeValues.addNew();
attrvalue.ProductAttribute = scr.ProductAttributes.data[idx];
attrvalue.ProductConfiguration = scr.ProductConfiguration;
attrvalue.Value = "";
... which could be used in a variety of places.
I will look to uploading the sample application.
Dave
Dave Baker | AIDE for LightSwitch | Xpert360 blog | twitter : @xpert360 | Xpert360 website | Opinions are my own. For better forums, remember to mark posts as helpful/answer.
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