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Tag: tidyr

Convert multiple columns into a single column-tidyr Part4

Posted on July 22July 17 By Admin No Comments on Convert multiple columns into a single column-tidyr Part4
Convert multiple columns into a single column-tidyr Part4

Convert multiple columns into a single column, To combine numerous data frame columns into one column, use the union() function from the tidyr package. Convert multiple columns into a single column The basic syntax used by this function is as follows. unite(data, col, into, sep) where: data: Name of the data frame col: Name of…

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R

Separate a data frame column into multiple columns-tidyr Part3

Posted on July 21July 20 By Admin No Comments on Separate a data frame column into multiple columns-tidyr Part3
Separate a data frame column into multiple columns-tidyr Part3

Separate a data frame column into multiple columns, To divide a data frame column into numerous columns, use the separate() function from the tidyr package. How to Use Gather Function in R?-tidyr Part2 The basic syntax used by this function is as follows. separate(data, col, into, sep) where: data: Name of the data frame col:…

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R

How to Use Gather Function in R?-tidyr Part2

Posted on July 20July 20 By Admin No Comments on How to Use Gather Function in R?-tidyr Part2
How to Use Gather Function in R?-tidyr Part2

How to Use Gather Function in R?, To “collect” a key-value pair across many columns, use the gather() function from the tidyr package. How to Use Spread Function in R?-tidyr Part1 The basic syntax used by this function is as follows. gather(data, key value, …) where: data: Name of the data frame key: Name of…

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R

How to Use Spread Function in R?-tidyr Part1

Posted on July 19July 17 By Admin No Comments on How to Use Spread Function in R?-tidyr Part1
How to Use Spread Function in R?-tidyr Part1

How to Use Spread Function in R, To “spread” a key-value pair across multiple columns, use the spread() method from the tidyr package. The basic syntax used by this function is as follows. spread(data, key value) where: data: Name of the data frame key: column whose values will serve as the names of variables value:…

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