MLS-C01 Exploratory Data Analysis Practice Question
A data scientist is analyzing a dataset with a timestamp column. The goal is to identify seasonality and trends. Which visualization technique is most suitable?
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
✓
Time series line plot of the target variable over time.
A time series line plot is the standard visualization for identifying trends and seasonality over time. Option B (box plot grouped by day of week) can show distributions but may not reveal trends or seasonality clearly. Option C (scatter plot of target vs. timestamp) can show patterns but may be less clear than a line plot for time series. Option D (heatmap of correlations) is for exploring relationships between features, not for time series analysis.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Time series line plot of the target variable over time.
Why this is correct
Line plots are standard for time series data.
- ✗
Box plot of the target variable grouped by day of week.
Why it's wrong here
Box plots show distribution, not trends.
- ✗
Scatter plot of the target variable vs. the timestamp.
Why it's wrong here
Scatter plots are for two continuous variables, not ideal for time series.
- ✗
Heatmap of correlation between all features.
Why it's wrong here
Heatmaps show correlations, not time patterns.
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