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Standardize headers in docstrings
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src/transforms/absoluteunits.jl

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@@ -18,7 +18,7 @@ Converts the units of selected columns `col₁`, `col₂`, ..., `colₙ` to abso
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Converts the units of columns that match with `regex` to absolute units.
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# Examples
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## Examples
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```julia
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AbsoluteUnits()

src/transforms/assert.jl

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Asserts the columns that match with `regex`.
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# Examples
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## Examples
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```julia
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Assert(cond=allunique, msg="assertion error")

src/transforms/center.jl

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Applies the Center transform on columns that match with `regex`.
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# Examples
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## Examples
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```julia
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Center(1, 3, 5)
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Center([:a, :c, :e])

src/transforms/coalesce.jl

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Replaces all missing values from the columns
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that match with `regex` with `value`.
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# Examples
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## Examples
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```julia
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Coalesce(value=0)

src/transforms/coerce.jl

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@@ -13,7 +13,7 @@ Coerce all columns of the table with scientific type `S`.
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This transform uses the `DataScienceTraits.coerce` function. Please see their docstring for more details.
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# Examples
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## Examples
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```julia
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using DataScienceTraits

src/transforms/compose.jl

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Converts the columns that match with `regex` into parts of a composition.
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# Examples
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## Examples
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```julia
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Compose(as=:composition)

src/transforms/dropextrema.jl

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Drops rows where any of the values in columns that match with `regex`
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are outside the interval.
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# Examples
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## Examples
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```julia
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DropExtrema(low=0.3, high=0.7)

src/transforms/dropmissing.jl

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Drop all rows with missing values in columns that match with `regex`.
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# Examples
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## Examples
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```julia
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DropMissing()

src/transforms/dropnan.jl

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Drop all rows with NaN values in columns that match with `regex`.
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# Examples
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## Examples
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```julia
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DropNaN(2, 3, 4)

src/transforms/dropunits.jl

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Drop units from columns that match with `regex`.
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# Examples
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## Examples
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```julia
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DropUnits()

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