diff --git a/dataview/templates/dataview/data_summary.html b/dataview/templates/dataview/data_summary.html
index bb786ea..7a1b715 100644
--- a/dataview/templates/dataview/data_summary.html
+++ b/dataview/templates/dataview/data_summary.html
@@ -58,6 +58,12 @@ <h2>{{ sub_name }}</h2>
           <td>Lowest Dosage:</td>
           <td>{{ usage_low }}</td>
       </tr>
+      <tr>
+          <td>Longest Span Between Intervals:</td>
+          <td>{{ longest_span }}</td>
+          <td>Shortest Span Between Intervals:</td>
+          <td>{{ shortest_span }}</td>
+      </tr>
   </table>
 
   <h3>Applicable Administrations Listing</h3>
@@ -74,7 +80,7 @@ <h4>Administration Time and Dosage</h4>
    <div class="dose_chart"></div>
    <script src="//d3js.org/d3.v3.min.js"></script>
    <script>
-    let json_src = '{% url 'dataview:dump_graph_data' sub_id %}';
+    let json_src = '{% url 'dataview:dump_dose_graph_data' sub_id %}';
 
     fetch(json_src)
       .then(res => res.json())
@@ -114,6 +120,7 @@ <h4>Time Between Subsequent Administrations</h4>
      span #2 is between administration #2 & #3, etc ad infinitum.
 
   {% if timespans %}
+
    <ol>
        {% for span in timespans %}
          <li>{{ span }}</li>
diff --git a/dataview/urls.py b/dataview/urls.py
index 78ceb07..42f8d86 100644
--- a/dataview/urls.py
+++ b/dataview/urls.py
@@ -6,5 +6,5 @@
 urlpatterns = [
     path('', views.IndexView.as_view(), name='index'),
     path('<int:pk>/', views.SubAdminDataView.as_view(), name='data_summary'),
-    path('dump_graph_data/<int:sub_id>/', views.dump_graph_data, name='dump_graph_data'),
+    path('dump_dose_graph_data/<int:sub_id>/', views.dump_dose_graph_data, name='dump_dose_graph_data'),
 ]
diff --git a/dataview/views.py b/dataview/views.py
index f43d3c2..44aa018 100644
--- a/dataview/views.py
+++ b/dataview/views.py
@@ -87,7 +87,16 @@ def get_context_data(self, **kwargs):
             prev_time = use.timestamp
 
         total_span = datetime.timedelta(0)
+        longest_span = datetime.timedelta(0)
+        shortest_span = datetime.timedelta.max
+
         for span in timespans:
+            if longest_span < span:
+                longest_span = span
+
+            if shortest_span > span:
+                shortest_span = span
+
             total_span += span
 
         average_span = round_timedelta_to_15min_floor(total_span / (usage_count - 1))
@@ -96,11 +105,12 @@ def get_context_data(self, **kwargs):
                                 'usage_high': highest_administered, 'usage_low': lowest_administered,
                                 'usage_total': total_administered,
                                 'sub_name': Substance.objects.filter(pk=self.kwargs['pk'])[0].common_name,
-                                'sub_id': self.kwargs['pk'],
-                                'timespans': timespans, 'average_span': average_span})
+                                'sub_id': self.kwargs['pk'], 'longest_span': longest_span,
+                                'shortest_span': shortest_span, 'timespans': timespans,
+                                'average_span': average_span})
 
 
-def dump_graph_data(request, sub_id):
+def dump_dose_graph_data(request, sub_id):
     """
     This view is a little more interesting than the different flavors of the
     same that we've been working with so far.  This one is going to take our