diff --git a/rowers/templates/user_analysis_select.html b/rowers/templates/user_analysis_select.html
index f952b9b2..fef97632 100644
--- a/rowers/templates/user_analysis_select.html
+++ b/rowers/templates/user_analysis_select.html
@@ -132,6 +132,8 @@
 	  palette.show();
 	  binsize.show();
 	  errorbars.show();
+		workmin.show();
+		workmax.show();
       };
 
       if (functionfield.val() == 'flexall') {
@@ -392,7 +394,7 @@
       and weight category ({{ weightcategory }}). The Gold Medal
 			Standard power is derived from the
       <a href="http://www.concept2.com/indoor-rowers/racing/records/world">
-        World Record</a> for your category. 
+        World Record</a> for your category.
       The percentile lines are estimates of where the percentiles
       of the Concept2 rankings historically are for those of exactly
       your age, gender and weight class.
diff --git a/rowers/tests/test_analysis.py b/rowers/tests/test_analysis.py
index 65c4e4f6..75990e0b 100644
--- a/rowers/tests/test_analysis.py
+++ b/rowers/tests/test_analysis.py
@@ -830,6 +830,69 @@ class WorkoutStatsTestNew(TestCase):
         script, div = statsdata(workouts,options)
         script, div = comparisondata(workouts,options)
 
+    @patch('rowers.dataprep.create_engine')
+    @patch('rowers.dataprep.getsmallrowdata_db', side_effect=mocked_getsmallrowdata_db)
+    @patch('rowers.dataprep.read_cols_df_sql', side_effect=mocked_read_cols_df_sql)
+    def test_analysis_data2(self,
+                           mocked_sqlalchemy,
+                           mocked_getsmallrowdata_db,
+                           mocked_read_cols_df_sql,
+    ):
+
+        startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
+        enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
+
+        # make sure the dates are not naive
+        try:
+            startdate = pytz.utc.localize(startdate)
+        except (ValueError, AttributeError):
+            pass
+        try:
+            enddate = pytz.utc.localize(enddate)
+        except (ValueError, AttributeError):
+            pass
+
+        options = {
+            'function':'flexall',
+            'xparam':'spm',
+            'plotfield':'spm',
+            'yparam':'power',
+            'groupby':'spm',
+            'binsize':1,
+            'ploterrorbars':True,
+            'palette':'monochrome_blue',
+            'xaxis':'time',
+            'yaxis1':'power',
+            'yaxis2':'hr',
+            'startdate':startdate,
+            'enddate':enddate,
+            'plottype':'scatter',
+            'spmmin':15,
+            'spmmax':55,
+            'workmin':0,
+            'workmax':1500,
+            'cpfit':'data',
+            'piece': 4,
+            'cpoverlay':True,
+            'cpfit':'data',
+            'includereststrokes':False,
+            'modality':'all',
+            'waterboattype':['1x','2x','4x'],
+            'ids':[1,2,3],
+            'userid':self.u.id,
+            }
+
+        workouts = self.user_workouts
+
+        script, div = boxplotdata(workouts,options)
+        script, div = trendflexdata(workouts,options)
+        script, div = histodata(workouts,options)
+        script, div = cpdata(workouts,options)
+        script, div = flexalldata(workouts,options)
+        script, div = statsdata(workouts,options)
+        script, div = comparisondata(workouts,options)
+
+
     @patch('rowers.dataprep.create_engine')
     @patch('rowers.dataprep.getsmallrowdata_db', side_effect=mocked_getsmallrowdata_db)
     @patch('rowers.dataprep.read_cols_df_sql', side_effect=mocked_read_cols_df_sql)
diff --git a/rowers/views/analysisviews.py b/rowers/views/analysisviews.py
index af28f6cd..b5a3cbb7 100644
--- a/rowers/views/analysisviews.py
+++ b/rowers/views/analysisviews.py
@@ -317,7 +317,7 @@ def trendflexdata(workouts, options, userid=0):
 
     if xparam == groupby:  # pragma: no cover
         datadf['groupby'] = datadf[xparam]
-        groupby = 'groupby'
+        #groupby = 'groupby'
 
     datadf = dataprep.clean_df_stats(datadf, workstrokesonly=workstrokesonly)