Question
a.
each variable in one column
b.
each observation in different row
c.
one table for each kind of variable
d.
none 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. Which of the following is a trait of tidy data?
Similar Questions
Discover Related MCQs
Q. Which of the following package is used for tidy data?
View solution
Q. Point out the wrong statement.
View solution
Q. Which of the following process involves structuring datasets to facilitate analysis?
View solution
Q. Strange binary file generated from machines is an example of tidy data.
View solution
Q. Which of the following is the most common problem with messy data?
View solution
Q. tidyr is a reframing of _______ designed to accompany the tidy data framework.
View solution
Q. Raw data in the real-world is tidy and properly formatted.
View solution
Q. Which of the following function is used for loading flat files?
View solution
Q. Point out the correct statement.
View solution
Q. Which of the following is an important parameter of read.table function?
View solution
Q. Which of the following will set the character that represents missing value?
View solution
Q. Point out the wrong statement.
View solution
Q. Which of the following package is used for reading excel data?
View solution
Q. Which of the following can be used to view all the tables in memory?
View solution
Q. Which of the following function programmatically extract parts of XML file?
View solution
Q. Which of the following package is used for reading JSON data?
View solution
Q. Extracting XML is the basis for most web scraping.
View solution
Q. Which of the following package is used to connect MySQL RDBMS with R?
View solution
Q. Point out the correct statement.
View solution
Q. Which of the following is used to extract data from HTML code of websites?
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!