Fixed remaining links in introduction guide

holoviz · Jul 2, 2017 · c471d04 · c471d04
1 parent f5c136b
commit c471d04
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/examples/getting_started/1-Introduction.ipynb b/examples/getting_started/1-Introduction.ipynb
@@ -120,7 +120,7 @@
    "source": [
     "## Compositional ``Layouts``\n",
     "\n",
-    "The class [``Scatter``](../reference/elements/elements/bokeh/Scatter.ipynb) is a subclass of ``Element``.  As shown in our [element gallery], Elements are the simplest viewable components in HoloViews. Now that we have a handle on ``scatter``, we can demonstrate the compositionality of these objects:"
+    "The class [``Scatter``](../reference/elements/elements/bokeh/Scatter.ipynb) is a subclass of ``Element``.  As shown in our [element gallery](http://holoviews.org/reference/index.html), Elements are the simplest viewable components in HoloViews. Now that we have a handle on ``scatter``, we can demonstrate the compositionality of these objects:"
    ]
   },
   {
@@ -155,7 +155,7 @@
    "source": [
     "## Array data: taxi dropoffs\n",
     "\n",
-    "So far we have visualized data in a [pandas ``DataFrame``](http://pandas.pydata.org/) but ``HoloViews`` is as agnostic to data formats as it is to plotting libraries; see [XXXX] for more information. This means we can work with array data as easily as we can work with  tabular data. To demonstrate this, here are some [numpy arrays](http://www.numpy.org/) relating to taxi dropoff locations in New York City:"
+    "So far we have visualized data in a [pandas ``DataFrame``](http://pandas.pydata.org/) but ``HoloViews`` is as agnostic to data formats as it is to plotting libraries; see [Customizing Plots](../user_guide/03-Customizing_Plots.ipynb) for more information. This means we can work with array data as easily as we can work with  tabular data. To demonstrate this, here are some [numpy arrays](http://www.numpy.org/) relating to taxi dropoff locations in New York City:"
    ]
   },
   {