Identify a boolean in large datasets in Python

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Please is there a python function to identify a boolean in large dataset ? with 30+ column ?

The beneficiary summary file has several chronic illness columns for each member. These are Boolean fields.
1)Convert these columns into a single categorical variable, concatenating multiple True diagnoses.
2)If a member has 3 or more chronic conditions, categorise these as “Multiple”

What I have tried:

This is the link to the data set

https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/Downloads/DE1_0_2009_Beneficiary_Summary_File_Sample_20.zip

This is the several chronic illness columns
SP_ALZHDMTA
SP_CHF
SP_CHRNKIDN
SP_CNCR
SP_COPD
SP_DEPRESSN
SP_DIABETES
SP_ISCHMCHT
SP_OSTEOPRS
SP_RA_OA
SP_STRKETIA

Posted 24-Jan-24 12:59pm

PARISEZINNE12

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Dave Kreskowiak · Answer 1 · 2024-01-24T14:17:00

Solution 1

Is there a function that will comb through a dataset and automatically append data for you based on columns values?

No.

You have to write the functionality yourself.

Posted 24-Jan-24 14:17pm

Dave Kreskowiak

Comments

PARISEZINNE12 25-Jan-24 2:45am

This is the link to the dataset where the columns are provided :

https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs/Downloads/DE1_0_2009_Beneficiary_Summary_File_Sample_20.zip

PARISEZINNE12 25-Jan-24 4:11am

i need to know if theres is a function to identify boolean column in a large data set and there fore converting those column into a single categorical variable

Dave Kreskowiak 25-Jan-24 10:13am

Just repeating the same stuff you've already said does not change the answers.

And, no, I'm not going to be writing the code for you.