Which EDA technique is used to display the distribution of a single variable, especially in cases of categorical data?
A. Box Plot
B. Scatter Plot
C. Histogram
D. Bar Chart
Answer: Option C
Solution (By Examveda Team)
Option A: Box Plot - A box plot is great for showing the distribution of numerical data, particularly to visualize quartiles, median, and outliers. It's not typically used for categorical data.Option B: Scatter Plot - A scatter plot is used to show the relationship between two numerical variables. It plots data points on a graph to reveal trends and correlations. It's not suitable for visualizing the distribution of a single categorical variable.
Option C: Histogram - A histogram is used to display the distribution of numerical data by grouping it into bins. It shows how many data points fall within each bin. While useful, it's designed for numerical, not categorical, data.
Option D: Bar Chart - A bar chart is specifically designed to display the distribution of categorical data. Each bar represents a category, and the height of the bar shows the frequency (or count) of that category. This allows us to easily see which categories are most common.
Therefore, the correct answer is D: Bar Chart.
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Related Questions on Exploratory Data Analysis (EDA)
What is the primary purpose of Exploratory Data Analysis (EDA) in Data Science?
A. To make data more complicated
B. To simplify complex data
C. To discover patterns and insights in data
D. To visualize data
Which of the following is NOT a common EDA technique for visualizing data distributions?
A. Box Plot
B. Histogram
C. Scatter Plot
D. Bar Chart
A. Pie Chart
B. Histogram
C. Bar Chart
D. Scatter Plot
What is the primary purpose of a scatter plot in EDA?
A. To show the distribution of a single variable
B. To visualize relationships between variables
C. To display categorical data
D. To represent time series data

For categorical data, a bar chart is typically used to display the distribution of a single variable.