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Exploratory Data AnalysiseasyMultiple ChoiceObjective-mapped

MLS-C01 Exploratory Data Analysis Practice Question

A data scientist is analyzing a dataset with a target variable that is binary (0/1). Which visualization is most appropriate to explore the relationship between a continuous feature and the target?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Box plot of the feature grouped by target.

The most appropriate visualization to explore the relationship between a continuous feature and a binary target is a box plot of the feature grouped by the target. This allows comparing the distribution of the continuous feature across the two target classes (0 and 1), revealing differences in central tendency, spread, and outliers. Option A (scatter plot) is unsuitable because scatter plots are for two continuous variables, not a binary target. Option B (bar chart) is typically used for categorical features, not continuous ones. Option D (histogram) shows the distribution of a single continuous variable but does not separate by target class, so it cannot reveal the relationship with the binary target. Therefore, option C is correct.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Scatter plot of the feature vs. the target.

    Why it's wrong here

    Scatter plots are for two continuous variables.

  • Bar chart of the feature.

    Why it's wrong here

    Bar charts are for categorical data.

  • Box plot of the feature grouped by target.

    Why this is correct

    Box plots compare distributions across categories.

  • Histogram of the feature.

    Why it's wrong here

    Histogram shows univariate distribution.

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