Question
a.
Vector formats are good for line drawings and plots with solid colors using a modest number of points
b.
Vector formats are good for plots with a large number of points, natural scenes or web based plots
c.
The default graphics device is always the screen device
d.
All of the mentioned
Posted under Data Science
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. Point out the correct statement.
Similar Questions
Discover Related MCQs
Q. Which of the following will copy the plot from one device to another?
View solution
Q. Which of the following is used to change active graphic device?
View solution
Q. Point out the wrong statement.
View solution
Q. Which of the following is the second goal of PCA?
View solution
Q. dev.copy2pdf specifically copy a plot to a PDF file.
View solution
Q. Which of the following is a vector file device?
View solution
Q. Which of the following is alternative technique toprincipal component analysis?
View solution
Q. Every open graphics device is assigned an integer greater than 2.
View solution
Q. Which of the following annotation function is used to add or modify text?
View solution
Q. Which of the following package is implemented by lattice plotting system?
View solution
Q. Point out the wrong statement.
View solution
Q. Which of the following parameter defines line type such as dashed and dotted?
View solution
Q. The core plotting engine is encapsulated in graphics package.
View solution
Q. Which of the following argument specifies margin size with regards to par function?
View solution
Q. How many stages commonly occurs in creation of plot?
View solution
Q. Base graphics are used most commonly for creating 2D graphics.
View solution
Q. Point out the correct statement.
View solution
Q. Which of the following is finally produced by Hierarchical Clustering?
View solution
Q. Which of the following is required by K-means clustering?
View solution
Q. Point out the wrong statement.
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Data Science? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!