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To view basic characteristics of a dataset in R, the dim() function provides its dimensions, and str() gives an overview of its contents.
To view basic characteristics of a dataset in R, the dim() function provides its dimensions, and str() gives an overview of its contents.
True
The group_by() function automatically calculates summary statistics for grouped data.
The group_by() function automatically calculates summary statistics for grouped data.
False
The summarize() function in dplyr cannot handle missing values by default.
The summarize() function in dplyr cannot handle missing values by default.
False
In dplyr, columns can be ordered in descending order using the desc() operator within the arrange() function.
In dplyr, columns can be ordered in descending order using the desc() operator within the arrange() function.
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The dplyr package provides a concise set of operations for managing lists in R.
The dplyr package provides a concise set of operations for managing lists in R.
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The summarize() function cannot be used without group_by() to generate overall summary statistics.
The summarize() function cannot be used without group_by() to generate overall summary statistics.
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The POSIXlt format is used in R to convert date variables to include information such as year, month, day, and time.
The POSIXlt format is used in R to convert date variables to include information such as year, month, day, and time.
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One goal of EDA is to check for issues with collected data, such as missing values or measurement errors.
One goal of EDA is to check for issues with collected data, such as missing values or measurement errors.
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The select function in dplyr is used to filter rows based on logical conditions.
The select function in dplyr is used to filter rows based on logical conditions.
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The main goal of Exploratory Data Analysis (EDA) is to validate hypotheses about the data.
The main goal of Exploratory Data Analysis (EDA) is to validate hypotheses about the data.
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