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Seaborn MCQs and Answers with Explanation: Seaborn is a popular Python data visualization library that is widely used by data scientists and analysts for creating informative and attractive graphs and plots. It is built on top of the Matplotlib library and provides a high-level interface for creating visualizations that are both aesthetically pleasing and informative. Through this article, we have provided the Seaborn MCQ Questions and Answers along with a detailed explanation for each question that will help you gain complete knowledge about this Seaborn concept. These Top 25 Seaborn Multiple Choice Questions cover all the information about Seaborn.
Seaborn MCQ Questions and Answers
With Seaborn, you can easily create various types of statistical graphics such as heatmaps, scatterplots, line plots, and bar charts. To test your knowledge of Seaborn, this article provides a set of Seaborn MCQ Quiz that cover a range of topics such as basic syntax, plot customization, and statistical visualization.
Seaborn Multiple Choice Questions
| Name | Seaborn |
| Exam Type | MCQ (Multiple Choice Questions) |
| Category | Technical Quiz |
| Mode of Quiz | Online |
Top 25 Seaborn MCQ Questions | Practice Seaborn Quiz
1. Which library is used to create statistical graphics in Python?
a) Pandas
b) Numpy
c) Seaborn
d) Matplotlib
Answer: c) Seaborn.
Explanation: Seaborn is a library used to create statistical graphics in Python. It is built on top of Matplotlib and provides a high-level interface for creating informative and attractive statistical graphics.
2. Which of the following is NOT a type of plot available in Seaborn?
a) Line plot
b) Scatter plot
c) Bar plot
d) Tree plot
Answer: d) Tree plot.
Explanation: Seaborn provides several types of plots for visualizing data, including line plots, scatter plots, bar plots, and many others. However, tree plots are not available in Seaborn.
3. Which function is used to create a histogram in Seaborn?
a) sns.lineplot()
b) sns.scatterplot()
c) sns.histplot()
d) sns.barplot()
Answer: c) sns.histplot().
Explanation: The function sns.histplot() is used to create a histogram in Seaborn. It allows you to visualize the distribution of a single variable in your dataset.
4. Which function is used to create a heatmap in Seaborn?
a) sns.heatmap()
b) sns.scatterplot()
c) sns.lineplot()
d) sns.barplot()
Answer: a) sns.heatmap().
Explanation: The function sns.heatmap() is used to create a heatmap in Seaborn. It allows you to visualize the correlation between different variables in your dataset.
5. Which function is used to create a box plot in Seaborn?
a) sns.boxplot()
b) sns.scatterplot()
c) sns.lineplot()
d) sns.barplot()
Answer: a) sns.boxplot().
Explanation: The function sns.boxplot() is used to create a box plot in Seaborn. It allows you to visualize the distribution of a single variable or the distribution of multiple variables in your dataset.
6. Which function is used to create a violin plot in Seaborn?
a) sns.violinplot()
b) sns.scatterplot()
c) sns.lineplot()
d) sns.barplot()
Answer: a) sns.violinplot().
Explanation: The function sns.violinplot() is used to create a violin plot in Seaborn. It allows you to visualize the distribution of a single variable or the distribution of multiple variables in your dataset, similar to a box plot.
7. Which function is used to create a scatter plot in Seaborn?
a) sns.scatterplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.lineplot()
Answer: a) sns.scatterplot().
Explanation: The function sns.scatterplot() is used to create a scatter plot in Seaborn. It allows you to visualize the relationship between two variables in your dataset.
8. Which function is used to create a line plot in Seaborn?
a) sns.lineplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.lineplot().
Explanation: The function sns.lineplot() is used to create a line plot in Seaborn. It allows you to visualize the relationship between two variables in your dataset over time.
9. Which function is used to create a bar plot in Seaborn?
a) sns.barplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.barplot().
Explanation: The function sns.barplot() is used to create a bar plot in Seaborn. It allows you to visualize the relationship between a categorical variable and a numeric variable in your dataset.
10. Which function is used to create a strip plot in Seaborn?
a) sns.stripplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.stripplot().
Explanation: The function sns.stripplot() is used to create a strip plot in Seaborn. It allows you to visualize the distribution of a single variable or the relationship between a categorical variable and a numeric variable in your dataset.
11. Which function is used to create a swarm plot in Seaborn?
a) sns.swarmplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.swarmplot().
Explanation: The function sns.swarmplot() is used to create a swarm plot in Seaborn. It allows you to visualize the distribution of a single variable or the relationship between a categorical variable and a numeric variable in your dataset, similar to a strip plot.
12. Which function is used to create a joint plot in Seaborn?
a) sns.jointplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.jointplot().
Explanation: The function sns.jointplot() is used to create a joint plot in Seaborn. It allows you to visualize the relationship between two variables in your dataset using a scatter plot with marginal distributions.
13. Which function is used to create a pair plot in Seaborn?
a) sns.pairplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.pairplot().
Explanation: The function sns.pairplot() is used to create a pair plot in Seaborn. It allows you to visualize the pairwise relationships between multiple variables in your dataset.
14. Which function is used to create a FacetGrid in Seaborn?
a) sns.FacetGrid()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.FacetGrid().
Explanation: The function sns.FacetGrid() is used to create a FacetGrid in Seaborn. It allows you to create multiple plots with different subsets of your data, based on the values of one or more variables.
15. Which function is used to create a factor plot in Seaborn?
a) sns.factorplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.factorplot().
Explanation: The function sns.factorplot() is used to create a factor plot in Seaborn. It allows you to visualize the relationship between a categorical variable and a numeric variable in your dataset, using different types of plots such as box plots, bar plots, and point plots.
16. Which function is used to create a catplot in Seaborn?
a) sns.catplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.catplot().
Explanation: The function sns.catplot() is used to create a catplot in Seaborn. It allows you to visualize the relationship between a categorical variable and a numeric variable in your dataset, using different types of plots such as box plots, bar plots, and point plots.
17. Which function is used to create a regplot in Seaborn?
a) sns.regplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.regplot().
Explanation: The function sns.regplot() is used to create a regression plot in Seaborn. It allows you to visualize the relationship between two variables in your dataset using a scatter plot with a linear regression line.
18. Which function is used to create a heatmap in Seaborn?
a) sns.heatmap()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.heatmap().
Explanation: The function sns.heatmap() is used to create a heatmap in Seaborn. It allows you to visualize the pairwise relationships between multiple variables in your dataset, using a color-coded matrix.
19. Which function is used to create a bar plot in Seaborn?
a) sns.barplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.barplot().
Explanation: The function sns.barplot() is used to create a bar plot in Seaborn. It allows you to visualize the relationship between a categorical variable and a numeric variable in your dataset using a bar chart.
20. Which function is used to create a count plot in Seaborn?
a) sns.countplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.countplot().
Explanation: The function sns.countplot() is used to create a count plot in Seaborn. It allows you to visualize the distribution of a categorical variable in your dataset using a bar chart.
21. Which function is used to create a boxen plot in Seaborn?
a) sns.boxenplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.boxenplot().
Explanation: The function sns.boxenplot() is used to create a boxen plot in Seaborn. It is similar to a box plot, but it can show more information about the shape of the distribution, especially for large datasets.
22. Which function is used to create a KDE plot in Seaborn?
a) sns.kdeplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.kdeplot().
Explanation: The function sns.kdeplot() is used to create a KDE plot in Seaborn. It allows you to visualize the distribution of a single variable in your dataset using a smoothed density curve.
23. Which function is used to create a line plot in Seaborn?
a) sns.lineplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.lineplot().
Explanation: The function sns.lineplot() is used to create a line plot in Seaborn. It allows you to visualize the relationship between two variables in your dataset using a line chart.
24. Which function is used to create a point plot in Seaborn?
a) sns.pointplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.pointplot().
Explanation: The function sns.pointplot() is used to create a point plot in Seaborn. It allows you to visualize the relationship between a categorical variable and a numeric variable in your dataset using a point chart.
25. Which function is used to create a swarmplot with hue in Seaborn?
a) sns.swarmplot()
b) sns.boxplot()
c) sns.violinplot()
d) sns.scatterplot()
Answer: a) sns.swarmplot().
Explanation: The function sns.swarmplot() can be used to create a swarmplot with hue in Seaborn. It allows you to visualize the relationship between two variables in your dataset using a scatter plot with a categorical variable represented by the color of the points.
Seaborn is a powerful tool for creating visually appealing and informative graphs and plots. This set of Seaborn MCQ Questions/ Seaborn Quiz can help you test your knowledge of the library and improve your skills in data visualization. Keep following our Freshersnow website to get notifications about various technical quizzes.