diff --git a/rowers/templates/history.html b/rowers/templates/history.html
index 8f84dcfd..0b775cdb 100644
--- a/rowers/templates/history.html
+++ b/rowers/templates/history.html
@@ -58,16 +58,16 @@
               <td>Number of workouts</td><td>{{ totalsdict|lookup:"nrworkouts"}}</td>
             </tr>
             <tr>
-              <td>Average heart rate</td><td>{{ totalsdict|lookup:"hrmean"}} bpm</td>
+              <td>Average heart rate</td><td><span id="total_hr"></span> bpm</td>
             </tr>
             <tr>
-              <td>Maximum heart rate</td><td>{{ totalsdict|lookup:"hrmax"}} bpm</td>
+              <td>Maximum heart rate</td><td><span id="total_maxhr"></span> bpm</td>
             </tr>
             <tr>
-              <td>Average power</td><td>{{ totalsdict|lookup:"powermean"}} W</td>
+              <td>Average power</td><td><span id="total_power"></span> W</td>
             </tr>
             <tr>
-              <td>Maximum power</td><td>{{ totalsdict|lookup:"powermax"}} W</td>
+              <td>Maximum power</td><td><span id="total_maxpower"></span> W</td>
             </tr>
           </tbody>
       </table>
@@ -125,17 +125,21 @@
 <script>
   $(function($) {
   console.log('loading script for chart');
-  
-  $.getJSON(window.location.protocol + '//'+window.location.host + '/rowers/history/user/{{ rower.user.id }}/data/', function(json) {
+
+  $.getJSON(window.location.protocol + '//'+window.location.host + '/rowers/history/user/{{ rower.user.id }}/data/?startdate={{ startdate|date:"Y-m-d" }}&{{ enddate|date:"Y-m-d" }}&workouttype={{ workouttype }}', function(json) {
 
   var script = json.script;
   var div = json.div;
+  var totalsdict = json.totalsdict
   $("#id_sitready").remove();
   $("#id_chart").append(div);
   console.log(div);
 //  $("#id_script").append("<s"+"cript>"+script+"</s"+"cript>");
   $("#id_script").append(script);
-
+  $("#total_hr").append(totalsdict.hrmean);
+  $("#total_maxhr").append(totalsdict.hrmax);
+  $("#total_power").append(totalsdict.powermean);
+  $("#total_maxpower").append(totalsdict.powermax);
   });
   });
   </script>
diff --git a/rowers/views/analysisviews.py b/rowers/views/analysisviews.py
index 84e18a4f..98f4d145 100644
--- a/rowers/views/analysisviews.py
+++ b/rowers/views/analysisviews.py
@@ -4697,14 +4697,6 @@ def history_view(request,userid=0):
 
     columns = ['hr','power','time']
 
-    df = getsmallrowdata_db(columns,ids=ids)
-    try:
-        df['deltat'] = df['time'].diff()
-    except KeyError:
-        pass
-    df = dataprep.clean_df_stats(df,workstrokesonly=True,
-                                     ignoreadvanced=True)
-
 
     totalmeters,totalhours, totalminutes = get_totals(g_workouts)
     totalminutes = "{totalminutes:02d}".format(totalminutes=totalminutes)
@@ -4740,7 +4732,7 @@ def history_view(request,userid=0):
 
         ddict['hrmean'] = int(wavg(ddf,'hr','deltat'))
         ddict['hrmax'] = ddf['hr'].max().astype(int)
-        ddict['powermean'] = int(wavg(df,'power','deltat'))
+        ddict['powermean'] = int(wavg(ddf,'power','deltat'))
         ddict['powermax'] = ddf['power'].max().astype(int)
         ddict['nrworkouts'] = a_workouts.count()
         listofdicts.append(ddict)
@@ -4772,18 +4764,7 @@ def history_view(request,userid=0):
     )
 
     totalsdict['distance'] = totalmeters
-    try:
-        totalsdict['powermean'] = int(wavg(df,'power','deltat'))
-        totalsdict['powermax'] = df['power'].max().astype(int)
-    except KeyError:
-        totalsdict['powermean'] = 0
-        totalsdict['powermax'] = 0
-    try:
-        totalsdict['hrmean'] = int(wavg(df,'hr','deltat'))
-        totalsdict['hrmax'] = df['hr'].max().astype(int)
-    except KeyError:
-        totalsdict['hrmean'] = 0
-        totalsdict['hrmax'] = 0
+
 
     totalsdict['nrworkouts'] =  g_workouts.count()
 
@@ -4874,7 +4855,64 @@ def history_view_data(request,userid=0):
     df = dataprep.clean_df_stats(df,workstrokesonly=True,
                                      ignoreadvanced=True)
 
+    totalmeters,totalhours, totalminutes = get_totals(g_workouts)
+    totalminutes = "{totalminutes:02d}".format(totalminutes=totalminutes)
 
+    # meters, duration per workout type
+    wtypes = list(set([w.workouttype for w in g_workouts]))
+
+    typechoices = [("All","All")]
+    for wtype in wtypes:
+        typechoices.append((wtype,mytypes.workouttypes_ordered[wtype]))
+
+    listofdicts = []
+
+    for wtype in wtypes:
+        a_workouts = g_workouts.filter(workouttype=wtype)
+        wmeters, whours, wminutes = get_totals(a_workouts)
+        ddict = {}
+        ddict['wtype'] = mytypes.workouttypes_ordered[wtype]
+        ddict['distance'] = wmeters
+        ddict['duration'] = "{whours}:{wminutes:02d}".format(
+            whours=whours,
+            wminutes=wminutes
+        )
+        ddf = getsmallrowdata_db(columns,ids=[w.id for w in a_workouts])
+        try:
+            ddf['deltat'] = ddf['time'].diff()
+        except KeyError:
+            pass
+        ddf = dataprep.clean_df_stats(ddf,workstrokesonly=True,
+                                         ignoreadvanced=True)
+
+        ddict['hrmean'] = int(wavg(ddf,'hr','deltat'))
+        ddict['hrmax'] = ddf['hr'].max().astype(int)
+        ddict['powermean'] = int(wavg(df,'power','deltat'))
+        ddict['powermax'] = ddf['power'].max().astype(int)
+        ddict['nrworkouts'] = a_workouts.count()
+        listofdicts.append(ddict)
+
+    totalsdict = {}
+    totalsdict['duration'] = "{totalhours}:{totalminutes}".format(
+        totalhours=totalhours,
+        totalminutes=totalminutes
+    )
+
+    totalsdict['distance'] = totalmeters
+    try:
+        totalsdict['powermean'] = int(wavg(df,'power','deltat'))
+        totalsdict['powermax'] = df['power'].max().astype(int)
+    except KeyError:
+        totalsdict['powermean'] = 0
+        totalsdict['powermax'] = 0
+    try:
+        totalsdict['hrmean'] = int(wavg(df,'hr','deltat'))
+        totalsdict['hrmax'] = df['hr'].max().astype(int)
+    except KeyError:
+        totalsdict['hrmean'] = 0
+        totalsdict['hrmax'] = 0
+
+    totalsdict['nrworkouts'] =  g_workouts.count()
 
 
     # interactive hr pie chart
@@ -4894,4 +4932,6 @@ def history_view_data(request,userid=0):
     return JSONResponse({
         'script':totalscript,
         'div':totaldiv,
+        'totalsdict':totalsdict,
+        'listofdicts':listofdicts,
     })