diff --git a/integration-tests/tests/frame_column_summary_statistics.py b/integration-tests/tests/frame_column_summary_statistics.py
new file mode 100644
index 0000000000..df2ddb8710
--- /dev/null
+++ b/integration-tests/tests/frame_column_summary_statistics.py
@@ -0,0 +1,49 @@
+#
+# Copyright (c) 2015 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import unittest
+import trustedanalytics as ta
+
+# show full stack traces
+ta.errors.show_details = True
+ta.loggers.set_api()
+# TODO: port setup should move to a super class
+if ta.server.port != 19099:
+    ta.server.port = 19099
+ta.connect()
+
+class FrameColumnSummaryStatisticsTestNew(unittest.TestCase):
+    def testColumnSummaryStatisticsNew(self):
+        print "define csv file"
+        csv = ta.CsvFile("/datasets/dates.csv", schema= [('start', ta.datetime), ('id', int), ('stop', ta.datetime),
+                                                         ('color', str)], delimiter=',')
+
+        name = "update_last_read"
+        if name in ta.get_frame_names():
+            ta.drop_frames(name)
+
+        print "create frame"
+        frame = ta.Frame(csv, name=name)
+
+        print "Calling column summary statistics"
+        stats = frame.column_summary_statistics("id")
+        self.assertEqual(stats['maximum'], 4.0)
+        self.assertEqual(stats['variance'], 2.5)
+
+
+
+if __name__ == "__main__":
+    unittest.main()