[doc] Re-added changes from 871903c

cubes/model.py

@@ -2372,7 +2372,7 @@ def __init__(self, name, label=None, description=None, order=None,
         * `formula` – name of a formula that contains the arithemtic
           expression (optional)
         * `measure` – measure name for this aggregate (optional)
-        * `expression` – arithmetic expression (only if bacend supported)
+        * `expression` – arithmetic expression (only if backend supported)
         * `nonadditive` – additive behavior for the aggregate (inherited from
           the measure in most of the times)
         """

doc/model.rst

@@ -125,7 +125,7 @@ The ``joins`` can be considered as named templates. They should contain
 ``name`` property that will be referenced by a cube.
 
 
-Vsibility: The joins and mappings are local to a single model. They are not
+Visibility: The joins and mappings are local to a single model. They are not
 shared within
 the workspace.
 
@@ -153,7 +153,7 @@ level as:
     ]
 
 The join has a name specified, which is used to match joins in the cube. Note
-that the join contains incimplete information: it contains only the ``detail``
+that the join contains incomplete information: it contains only the ``detail``
 part, that is the dimension key. To use the join in a cube which has two date
 dimensions `start date` and `end date`:
 

doc/slicing_and_dicing.rst

@@ -30,7 +30,7 @@ browsed.
     :width: 300px
 
 There are three types of cells: `point` – defines a single point in a dimension
-at a prticular level; `range` – defines all points of an ordered dimension
+at a particular level; `range` – defines all points of an ordered dimension
 (such as date) within the range and `set` – collection of points:
 
 .. figure:: images/cubes-point-range-set-cut.png
@@ -43,7 +43,7 @@ For December 2010, regardless of day: ``[2010, 12]`` and for the whole year:
 it would be a single item list ``[2010]``. Similar for other dimensions:
 ``["sk", "Bratislava"]`` for city `Bratislava` in `Slovakia` (code ``sk``).
 
-In Python the cuts for "sales in Slovakia between June 2010 and June 2013" are
+In Python the cuts for "sales in Slovakia between June 2010 and June 2012" are
 defined as:
 
 .. code-block:: python
@@ -335,7 +335,7 @@ Which is equivalent to:
     levels = dimension.hierarchy().levels()
     labels = []
     for i, detail in enumerate(cut_details):
-        labels.append(detail[level[i].label_attribute.ref()])
+        labels.append(detail[levels[i].label_attribute.ref()])
 
 Note that this might change a bit: either full detail will be returned or just
 key and label, depending on an option argument (not yet decided).