[PARTITION] Kindergarten teacher

[micahjsmith]

Name

Kindergarten teacher

Specification

Features engineered from the questions asked to the kindergarten teacher during the wave 4 survey.

from ballet import b
X_df, _ = b.api.load_data()
[col for col in X_df.columns if col.startswith('kind_')]
# or, X_df.filter(regex='^kind_', axis=1)

There are 119 input columns in this partition

Background

The kindergarten teacher is surveyed presumably in wave 4, when the child is five years old (the typical time that a child attends kindergarten in the US). Note that the kindergarten teacher's responses were renamed in the metadata. So in the metadata search, you have to substitute kind_ with t4. See also metadata search changes

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I'm proposing this new feature development partition, who will take up the mantle to develop features from this partition? Whoever replies to this issue with the response me will "claim" it -- it might even be myself! It's okay for multiple people to claim this partition, but in that case, make sure you stay in touch directly or via the project chat, or follow each other's accepted (and rejected) feature contributions.