Data Visualization

Which of the following visualization techniques is suitable for examining relationships between multiple variables simultaneously?

• A) Bar chart

• B) Scatterplot

• C) Parallel coordinates plot

• D) Pie chart

What type of plot is commonly used to represent pairwise relationships between variables in a multivariate dataset?

• A) Box plot

• B) Scatterplot matrix

• C) Histogram

• D) Line plot

Heatmaps are useful for visualizing:

• A) Categorical variables

• B) Time series data

• C) Relationships between two variables

• D) Patterns and correlations in multivariate datasets

Which multivariate visualization technique uses color-coded cells to represent the values of variables in a dataset?

• A) Parallel coordinates plot

• B) Scatterplot matrix

• C) Heatmap

• D) Multidimensional scaling (MDS)

Multidimensional scaling (MDS) is commonly used for:

• A) Clustering analysis

• B) Dimensionality reduction

• C) Pattern recognition

• D) Data transformation

Which of the following is NOT a type of multivariate data visualization technique?

• A) Box plot

• B) Radar chart

• C) Chord diagram

• D) Trellis plot

In a parallel coordinates plot, each variable is represented by:

• A) A vertical axis

• B) A horizontal axis

• C) A color-coded cell

• D) A scatterplot

What does each point in a scatterplot matrix represent?

• A) A data observation

• B) A variable

• C) A correlation coefficient

• D) A cluster center

Which multivariate visualization technique is suitable for visualizing the similarity or dissimilarity of data points in a lower-dimensional space?

• A) Scatterplot matrix

• B) Parallel coordinates plot

• C) Heatmap

• D) Multidimensional scaling (MDS)

What is the primary purpose of multivariate data visualization?

• A) Identifying outliers in the data

• B) Exploring relationships and patterns across multiple variables

• C) Reducing the dimensionality of the dataset

• D) Classifying data points into categories