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twitte01 / 232R_GroupProject

UCSD Spring 2024 232R Big Data Analytics Using Spark Group Project
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Identify variables that need to be modified #42

Closed twitte01 closed 6 months ago

twitte01 commented 6 months ago
CanIGetAnAman commented 6 months ago

We could combine all of the utility costs into 1 feature "utilities"

CanIGetAnAman commented 6 months ago

Could look into an "income per age group." Maybe group by 20s, 30s, etc

twitte01 commented 6 months ago

I am hoping that clustering does help naturally split age groups with other variables

Could look into an "income per age group." Maybe group by 20s, 30s, etc