MLS-C01 Exploratory Data Analysis Practice Question
A data scientist wants to understand the distribution of a continuous feature before training a model. Which visualization is most appropriate?
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
✓
Histogram
A histogram is the standard tool for showing the distribution of a single continuous variable. Option A is wrong because scatter plots compare two variables. Option B is wrong because box plots show summary statistics, not the full distribution shape. Option D is wrong because bar charts are for categorical data.
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
Why it's wrong here
A scatter plot is used to show the relationship between two continuous variables, not the distribution of a single variable.
- ✗
Box plot
Why it's wrong here
A box plot provides summary statistics (median, quartiles, outliers) but does not show the full distribution shape.
- ✓
Histogram
Why this is correct
A histogram is the most appropriate visualization for understanding the distribution of a continuous feature because it shows the frequency of data points within bins.
- ✗
Bar chart
Why it's wrong here
A bar chart is used for categorical data, not continuous data.
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