Cộng đồng Hỏi & Đáp của Inflearn
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summary(df_final)했을 때
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new_age_group이 문자형으로 나오는데 왜 그런가요?
Câu trả lời 7
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Common Technical Contexts
Data Binning (Categorization): In data science or analytics (often using Python/Pandas or SQL), it is commonly used as a column header or variable name for age segmentation. For example, converting raw ages (like 25, 42, 60) into predefined buckets (like "Young Adult," "Middle Age," "Senior") to simplify analysis.
Database Schema Update: It could represent a new field added to a database table to store updated age category information for users, distinguishing it from an old
age_groupcolumn.Business Logic/Algorithms: In software engineering, this might be a variable used in a function that recalculates a user's age category (e.g., when a user has a birthday and moves into a new demographic tier).
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Common Technical Contexts
Data Binning (Categorization): In data science or analytics (often using Python/Pandas or SQL), it is commonly used as a column header or variable name for age segmentation. For example, converting raw ages (like 25, 42, 60) into predefined buckets (like "Young Adult," "Middle Age," "Senior") to simplify analysis.
Database Schema Update: It could represent a new field added to a database table to store updated age category information for users, distinguishing it from an old
age_groupcolumn.Business Logic/Algorithms: In software engineering, this might be a variable used in a function that recalculates a user's age category (e.g., when a user has a birthday and moves into a new demographic tier).
greate!play <a href='https://aivideomaker.ai'>AI Video Maker</a>
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