diff --git a/docs/src/lib/types.md b/docs/src/lib/types.md
index 5073229c05..7d6ed23d5b 100644
--- a/docs/src/lib/types.md
+++ b/docs/src/lib/types.md
@@ -28,7 +28,7 @@ It is intended to be created as a result of a call to the `groupby` function.
 
 `DataFrameRow` is a view into a single row of an `AbstractDataFrame`. It stores only a reference
 to a parent `DataFrame` and information about which row and columns from the parent are selected
-(both as integer indices referring to the parent)
+(both as integer indices referring to the parent).
 The `DataFrameRow` type supports iteration over columns of the row and is similar in functionality to
 the `NamedTuple` type, but allows for modification of data stored in the parent `DataFrame`
 and reflects changes done to the parent after the creation of the view.
diff --git a/docs/src/man/split_apply_combine.md b/docs/src/man/split_apply_combine.md
index 8b5056b74c..4fde68fcd7 100644
--- a/docs/src/man/split_apply_combine.md
+++ b/docs/src/man/split_apply_combine.md
@@ -46,7 +46,7 @@ each subset of the `DataFrame`. This specification can be of the following forms
    vectors of `Symbol`s, vectors of strings,
    `All`, `Cols`, `:`, `Between`, `Not` and regular expressions)
 2. a `cols => function` pair indicating that `function` should be called with
-   positional arguments holding columns `cols`, which can be a any valid column selector;
+   positional arguments holding columns `cols`, which can be any valid column selector;
    in this case target column name is automatically generated and it is assumed that
    `function` returns a single value or a vector; the generated name is created by
    concatenating source column name and `function` name by default (see examples below).
diff --git a/src/abstractdataframe/selection.jl b/src/abstractdataframe/selection.jl
index 2c1a94e5b9..df58ac2cea 100644
--- a/src/abstractdataframe/selection.jl
+++ b/src/abstractdataframe/selection.jl
@@ -44,7 +44,7 @@ const TRANSFORMATION_COMMON_RULES =
        vectors of `Symbol`s, vectors of strings,
        `All`, `Cols`, `:`, `Between`, `Not` and regular expressions)
     2. a `cols => function` pair indicating that `function` should be called with
-       positional arguments holding columns `cols`, which can be a any valid column selector;
+       positional arguments holding columns `cols`, which can be any valid column selector;
        in this case target column name is automatically generated and it is assumed that
        `function` returns a single value or a vector; the generated name is created by
        concatenating source column name and `function` name by default (see examples below).