feat: rename remove_outliers to drop_rows_with_outliers (#95)

Closes #93.

### Summary of Changes

Rename `remove_outliers` to `drop_rows_with_outliers` in `Table`.

src/safeds/data/tabular/containers/_table.py

@@ -759,10 +759,10 @@ def sort_columns(
         columns.sort(key=functools.cmp_to_key(query))
         return Table.from_columns(columns)
 
-    def remove_outliers(self) -> Table:
+    def drop_rows_with_outliers(self) -> Table:
         """
-        Remove all rows from the table that contain at least one outlier defined as having a value that has a distance of
-        more than 3 standard deviations from the column average.
+        Remove all rows from the table that contain at least one outlier defined as having a value that has a distance
+        of more than 3 standard deviations from the column average.
 
         Returns
         -------

tests/safeds/data/tabular/containers/_table/test_remove_outliers.py → tests/safeds/data/tabular/containers/_table/test_drop_rows_with_outliers.py

@@ -4,7 +4,7 @@
 from safeds.data.tabular.typing import ColumnType, TableSchema
 
 
-def test_remove_outliers_no_outliers() -> None:
+def test_drop_rows_with_outliers_no_outliers() -> None:
     table = Table(
         pd.DataFrame(
             data={
@@ -15,13 +15,13 @@ def test_remove_outliers_no_outliers() -> None:
         )
     )
     names = table.get_column_names()
-    result = table.remove_outliers()
+    result = table.drop_rows_with_outliers()
     assert result.count_rows() == 3
     assert result.count_columns() == 3
     assert names == table.get_column_names()
 
 
-def test_remove_outliers_with_outliers() -> None:
+def test_drop_rows_with_outliers_with_outliers() -> None:
     table = Table(
         pd.DataFrame(
             data={
@@ -44,15 +44,15 @@ def test_remove_outliers_with_outliers() -> None:
             }
         )
     )
-    result = table.remove_outliers()
+    result = table.drop_rows_with_outliers()
     assert result.count_rows() == 11
     assert result.count_columns() == 3
 
 
-def test_remove_outliers_no_rows() -> None:
+def test_drop_rows_with_outliers_no_rows() -> None:
     table = Table(
         [], TableSchema({"col1": ColumnType.from_numpy_dtype(np.dtype(float))})
     )
-    result = table.remove_outliers()
+    result = table.drop_rows_with_outliers()
     assert result.count_rows() == 0
     assert result.count_columns() == 1