Here is the post I made, for reference:
"Incrementation.
I have been the bearer of a solution many times because of it. For example, I had a data management job where I need to put prices into a platform. The vendor, however, is a bag of dicks and sent a horrid .csv file. Each item has 4 to 9 rows. 3 of them standard for each item, then the rest are description fragments up to 6 rows long.
This file takes 3 days for the average person to go through and manually merge all of the descriptions.
I jump in there and with a few extra columns make it to minutes of work.
Since there is a blank row in between each item, I can make to the right (lets say F):
=IF(E2="",0,F1+1) [instead of having a name in the header row, the formula needs to be kick started with a 0]
This creates a column that counts off how long each item is.
Then to the right of that:
=IF(F2=0,"",IF(F3>F2,"",F2))
Dont know if this is necessary, but makes it easier for me to navigate and interpret, blanks out everything but the final rows in the items. Then I can make a big nasty nested IF that concatenates based on the number being reported. Something like (in, lets say H5):
=IF(G5="","",IF(G5=3,C5,IF(G5=4,CONCATENATE(C4,". ",C5),IF(G5=5,CONCATENATE(C3,". ",C4,". ",C5)...)
Boom. Copy column H, paste elsewhere, remove blank rows, you have all of your merged descriptions in about 7 minutes time.
Learning how to impose incrementation into a dataset to tick off an attribute is a powerful trick that empowers you to create datasets that allow you to manipulate the data in specific and useful ways."
I'll start by building up an example file:
![](data:image/png;base64,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)
This is the general idea. In this file, each item has one row that is always there. Then the file goes on to include additional rows for fragments of the description. It almost perfectly copies the file that I worked with that vendors would send to me, and that I then would need to reformat to upload into the platform I maintained. Just like this, but think in the neighborhood of 7500 items per file.
So, the first step:
=IF(E2="",0,F1+1) [instead of having a name in the header row, the formula needs to be kick started with a 0]
![](data:image/png;base64,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)
Removing the space to make the formula functional, and then autofilling:
![](data:image/png;base64,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)
Then on to the next column:
=IF(F2=0,"",IF(F3>F2,"",F2))
![](data:image/png;base64,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)
Space removed and formula autofilled:
![](data:image/png;base64,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)
So now that the incrementation is in place, we can write a formula that does what existing workers were spending days on end doing:
=IF(G5="","",IF(G5=3,C5,IF(G5=4,CONCATENATE(C4,". ",C5),IF(G5=5,CONCATENATE(C3,". ",C4,". ",C5)...)
![](data:image/png;base64,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)
Space removed and formula autofilled:
Do some clerical work, copy column G, paste it elsewhere, remove blanks, go back to your original spreadsheet, delete column c, delete blank rows, paste your new list of descriptions back into the original spreadsheet, and viola, you just did in 10 minutes what took others days on end of manual copy pasting, or CONCATENATING one item at a time.
"Incrementation" is not a magical keystroke command that fixes things, but it is a powerful tool for the manipulation of data.
In this instance, the hurtle was that the simple process, merging the descriptions, didn't have a quick fix because there were 3 different variations on "merge the descriptions" (Merge 2 rows of descriptions, merge 3 rows of descriptions, and merge 4 rows of descriptions). A couple simple incrementation formulas created a key that identified which variation each item fell into, and allowed us to create a formula that would perform the correct function dependent on which variation was present.
I have been the bearer of a solution many times because of it. For example, I had a data management job where I need to put prices into a platform. The vendor, however, is a bag of dicks and sent a horrid .csv file. Each item has 4 to 9 rows. 3 of them standard for each item, then the rest are description fragments up to 6 rows long.
This file takes 3 days for the average person to go through and manually merge all of the descriptions.
I jump in there and with a few extra columns make it to minutes of work.
Since there is a blank row in between each item, I can make to the right (lets say F):
=IF(E2="",0,F1+1) [instead of having a name in the header row, the formula needs to be kick started with a 0]
This creates a column that counts off how long each item is.
Then to the right of that:
=IF(F2=0,"",IF(F3>F2,"",F2))
Dont know if this is necessary, but makes it easier for me to navigate and interpret, blanks out everything but the final rows in the items. Then I can make a big nasty nested IF that concatenates based on the number being reported. Something like (in, lets say H5):
=IF(G5="","",IF(G5=3,C5,IF(G5=4,CONCATENATE(C4,". ",C5),IF(G5=5,CONCATENATE(C3,". ",C4,". ",C5)...)
Boom. Copy column H, paste elsewhere, remove blank rows, you have all of your merged descriptions in about 7 minutes time.
Learning how to impose incrementation into a dataset to tick off an attribute is a powerful trick that empowers you to create datasets that allow you to manipulate the data in specific and useful ways."
I'll start by building up an example file:
This is the general idea. In this file, each item has one row that is always there. Then the file goes on to include additional rows for fragments of the description. It almost perfectly copies the file that I worked with that vendors would send to me, and that I then would need to reformat to upload into the platform I maintained. Just like this, but think in the neighborhood of 7500 items per file.
So, the first step:
=IF(E2="",0,F1+1) [instead of having a name in the header row, the formula needs to be kick started with a 0]
Removing the space to make the formula functional, and then autofilling:
Then on to the next column:
=IF(F2=0,"",IF(F3>F2,"",F2))
Space removed and formula autofilled:
So now that the incrementation is in place, we can write a formula that does what existing workers were spending days on end doing:
=IF(G5="","",IF(G5=3,C5,IF(G5=4,CONCATENATE(C4,". ",C5),IF(G5=5,CONCATENATE(C3,". ",C4,". ",C5)...)
Space removed and formula autofilled:
Do some clerical work, copy column G, paste it elsewhere, remove blanks, go back to your original spreadsheet, delete column c, delete blank rows, paste your new list of descriptions back into the original spreadsheet, and viola, you just did in 10 minutes what took others days on end of manual copy pasting, or CONCATENATING one item at a time.
"Incrementation" is not a magical keystroke command that fixes things, but it is a powerful tool for the manipulation of data.
In this instance, the hurtle was that the simple process, merging the descriptions, didn't have a quick fix because there were 3 different variations on "merge the descriptions" (Merge 2 rows of descriptions, merge 3 rows of descriptions, and merge 4 rows of descriptions). A couple simple incrementation formulas created a key that identified which variation each item fell into, and allowed us to create a formula that would perform the correct function dependent on which variation was present.
No comments:
Post a Comment