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Nov 5, 2023 at 11:42 comment added Sole Galli You can create 2 variables from your variable. One captures the continuous part. The second captures the categorical values. Then proceed with missing data imputation and encoding as usual. See this notebook for an example: github.com/solegalli/feature-engineering-for-machine-learning/…
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Nov 8, 2019 at 9:24 comment added carlo your variable is censored ( en.m.wikipedia.org/wiki/Censoring_(statistics) ). anyway, you should tell us what is the goal of your analysis.
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May 15, 2016 at 12:46 answer added Pieter timeline score: 0
May 15, 2016 at 12:24 history asked ApeWithPants CC BY-SA 3.0