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Transforming data and summing

LincolnMike
8 - Asteroid

I have the following:

vin

date

Section

Code

Store

Hrs

 

1234

2017-06-01

A

XX

B224

0.01

 

1234

2017-06-01

B

YY

B224

1.50

 

1234

2017-06-02

C

ZZ

B224

0.05

 

5678

2017-06-03

A

XX

A112

0.01

 

5678

2017-06-03

B

VV

A112

1.10

 

9012

2017-06-04

A

XX

C666

0.01

 

9012

2017-06-04

B

MM

C666

0.08

 

9012

2017-06-30

C

ZZ

J123

0.05

 

 

Using Alteryx, how do I have the output look like this:

vin

SecA

SecB

SecC

SecA_Dt

SecB_Dt

SecC_Dt

SecA_St

SecB_St

SecC_St

TotHr

1234

XX

YY

ZZ

2017-06-01

2017-06-01

2017-06-02

B224

B224

B224

1.56

5678

XX

VV

 

2017-06-03

2017-06-03

 

A112

A112

 

1.11

9012

XX

MM

ZZ

2017-06-04

2017-06-04

2017-06-30

C666

C666

J123

0.14

 

15 REPLIES 15
LincolnMike
8 - Asteroid

Thanks again...I will play with this and keep you posted.  I am being dragged away to start a back splash project in my kitchen.  :-|

SeanAdams
17 - Castor
17 - Castor

Hey @LincolnMike

Take a look at the way that I've split the data set that needs to be reformatted vs. grouped.   This is a common pattern that we find ourselves using often - doing a different prep on subsets of the data and then joining it all back together again.

 

Good luck with the Back Splash project!

LincolnMike
8 - Asteroid

Hi Sean,

thanks for responding.  Could you re save the  "TransformingData.yxmd" you created so I could open it in Alteryx 10.6?

Thanks.

 

Mike

SeanAdams
17 - Castor
17 - Castor

No problem Mike,

The file I attached was already backed down to version 9.5 so you should be OK using Alteryx 10.6.

 

Let me know if you have trouble - attached again.

 

Sean

 

LincolnMike
8 - Asteroid

Sean, thanks again for trying to re-save, but I still cannot open the file.  I get the same error message: "This document created by a more recent version of this application and cannot be read"

 

I will try your solution too based on your screenshot.

 

take care

LincolnMike
8 - Asteroid

Hi,

the solution you 2 provided me worked perfect for the data.  Now I have a new data set that does not associate as well with the solution you previously provided m.

 

I have this for my data:

vinrprDtStoreLbrCdReprOrderTot_Hrs_pd_forVIN

123

2016-09-30AX12EABC1.8
1232016-09-30AX12MABC1.8
1232016-09-30AX12AABC1.8
7892016-11-07GG22ADEF1.9
7892016-11-08GG22EDEF1.9
7892016-11-09ZZ33NXYZ1.9

 

This is the desired output, with Concatenating Repair Order to Labor Cd:

vinRprDt1RprDt2RprDt3Store1Store2Store3RprOrd_LbrCd1RprOrd_LbrCd2RprOrd_LbrCd3Tot_Hrs_Pd_ForVIN
1232016-09-302016-09-302016-09-30AX12AX12AX12ABC_EABC_MABC_A1.8
7892016-11-072016-11-082016-11-09GG22GG22ZZ33DEF_ADEF_EZYZ_M1.9
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