Topic 1 Question 346
A machine learning (ML) specialist collected daily product usage data for a group of customers. The ML specialist appended customer metadata such as age and gender from an external data source.
The ML specialist wants to understand product usage patterns for each day of the week for customers in specific age groups. The ML specialist creates two categorical features named dayofweek and binned_age, respectively.
Which approach should the ML specialist use discover the relationship between the two new categorical features?
Create a scatterplot for day_of_week and binned_age.
Create crosstabs for day_of_week and binned_age.
Create word clouds for day_of_week and binned_age.
Create a boxplot for day_of_week and binned_age.
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- 正解だと思う選択肢: B
copilot - Crosstabs (cross-tabulation) will allow the ML specialist to observe the frequency distribution of product usage across different days of the week and age groups, making it easier to identify patterns or relationships between these categorical features.
👍 1MultiCloudIronMan2024/09/22 - 正解だと思う選択肢: A👍 1aidanvanlatestein2024/12/31
- 正解だと思う選択肢: B
Aunque Data Wrangler puede generar scatterplots for categorical data, they’re not as effective for understanding the relationship between two categorical variables as crosstabs are; crosstabs clearly show frequency counts for each combination.
👍 1italiancloud20252025/02/18
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