Automatic Dataset Cleaning for Blanks

[karlitob]

Would appreciate some help please.

I have quite a large dataset that gets updated on a monthly basis (100,000 rows +). There are 4 unique provinces each 10 unique counties in each province. The users that enter data into the form - using drop down boxes - that generates these fields (among others) is not mandatory. Users should enter the province and county on the form but oft times omit the province. While I'm working with the people who make these fields mandatory there are a lot of blanks in my table. So I manually clean up the data. Could anyone advise on a way to clean the blanks up automatically.

Province1: County1, Country2,..., County10
Province2: County11, County12,..., County20
Province3: County21, County22,..., County30
Province4: County31, County32,..., County40



Province 1: County1
Province 4: County31
Blank: County11
Blank: County40

- Since all the counties are unique, and there are only 40, I know that for County11, the Province is Province2.


Hope that all makes sense. Thanks all. Appreciate any guidance.

 

[admiral100]

Hi,

You can prepare a column with a list of all provinces and against all of them llist to the respective countries...

In my sample :

Column D contain the list of all provinces and columns E1:H6 contains respective the list of all countries
Column B contain the list of countries (Enter by users)


An array formula - Ctrl+Shift+Enter NOT just Enter

A1 =INDEX($D$1:$D$6,MATCH(1,MMULT(--($E$1:$H$6=B1),TRANSPOSE(COLUMN($E$1:$H$6)^0)),0))

	A	B	C	D	E	F	G	H
1	Province 5:	Country33		Province 1:	Country1	Country14	Country24	Country34
2	Province 1:	Country24		Province 2:	Country31	Country40
3	Province 3:	Country5		Province 3:	Country11	Country10	Country5
4	Province 2:	Country40		Province 4:	Country6	Country15
5	Province 6:	Country19		Province 5:	Country2	Country33	Country9	Country8
6				Province 6:	Country19

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</tbody>

 

[karlitob]

Thank you. I'll need a bot of time to pick through that. Thank you for your time.