# Common

In Julia, we can apply the following code with `DataFramesMeta`

package
to solve this problem.

`a = randn(1000, 1000) |> DataFrame`

@chain a begin

@transform(:x = :x .+ 1)

@transform(:y = :x .+ 2)

end

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In Julia, we can apply the following code with `DataFramesMeta`

package
to solve this problem.

`a = randn(1000, 1000) |> DataFrame`

@chain a begin

@transform(:x = :x .+ 1)

@transform(:y = :x .+ 2)

end