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Questions and Answers
The mutate function in dplyr is used to create new variables or transform existing ones.
The mutate function in dplyr is used to create new variables or transform existing ones.
True
In dplyr, the %>% operator is known as the “pipe” and is used to chain functions together.
In dplyr, the %>% operator is known as the “pipe” and is used to chain functions together.
True
The filter function in dplyr can only use simple conditions to filter data.
The filter function in dplyr can only use simple conditions to filter data.
False
The group_by and summarize functions in dplyr are often used together to calculate summary statistics by groups.
The group_by and summarize functions in dplyr are often used together to calculate summary statistics by groups.
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To remove specific columns in dplyr, the select function can be used with a minus sign (-) before the column names.
To remove specific columns in dplyr, the select function can be used with a minus sign (-) before the column names.
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The rename function in dplyr has the new variable name on the right side of the equal sign and the old name on the left.
The rename function in dplyr has the new variable name on the right side of the equal sign and the old name on the left.
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The arrange function in dplyr can reorder rows in both ascending and descending order.
The arrange function in dplyr can reorder rows in both ascending and descending order.
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In R, the str function provides the structure of a data frame, showing variable types and a sample of values.
In R, the str function provides the structure of a data frame, showing variable types and a sample of values.
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EDA is primarily used to validate predefined hypotheses about data.
EDA is primarily used to validate predefined hypotheses about data.
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EDA is primarily used to explore data and identify patterns without predefined hypotheses.
EDA is primarily used to explore data and identify patterns without predefined hypotheses.
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