Data Visualization Statistical Visualization

Question 1

What does a correlation matrix heatmap visualize?

Accepted Answer

Pairwise correlation coefficients between multiple variables using color intensity

Answer

Geographic data across regions

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Frequency distributions of variables

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Time series trends across categories

Question 2

What does a Q-Q (quantile-quantile) plot assess?

Accepted Answer

Whether a dataset follows a specific theoretical distribution, typically normal

Answer

Quantitative comparison between two datasets over time

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Quartile ranges across categories

Answer

Quality scores versus quantity produced

Question 3

What statistical information does a violin plot add compared to a box plot?

Accepted Answer

The full probability density distribution shape of the data

Answer

More precise quartile values

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Outlier labels

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Mean vs. median comparison

Question 4

What is a 'kernel density estimate' (KDE) plot used for?

Accepted Answer

Visualizing the probability density function of a continuous variable using a smooth curve

Answer

Estimating network traffic density

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Displaying sparse matrix data

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Calculating outlier thresholds

Question 5

What does a control chart (Shewhart chart) display that a regular line chart does not?

Accepted Answer

Upper and lower control limits based on statistical variation to detect process instability

Answer

Multiple data series

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Cumulative totals over time

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Seasonal decomposition

Question 6

What is a 'pair plot' (also called scatterplot matrix) used for?

Accepted Answer

Visualizing pairwise relationships between all combinations of variables in a multivariate dataset

Answer

Comparing two datasets side by side

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Pairing primary and secondary axes

Answer

Displaying paired before/after data