--- a
+++ b/examples/irhythm/notebooks/data_analysis.ipynb
@@ -0,0 +1,107 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import collections\n",
+    "import json\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rhythms_per_patient(data_json):\n",
+    "    rhythms_patients = collections.defaultdict(set)\n",
+    "    with open(data_json, 'r') as fid:\n",
+    "        examples = [json.loads(l) for l in fid]\n",
+    "    for ex in examples:\n",
+    "        pid = os.path.basename(ex['ecg']).split(\"_\")[0]\n",
+    "        for l in ex['labels']:\n",
+    "            rhythms_patients[l].add(pid)\n",
+    "    rs = sorted(rhythms_patients.keys())\n",
+    "    for r in rs:\n",
+    "        print \"{:>10} {}\".format(r, len(rhythms_patients[r]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Training set\n",
+      "        AF 9313\n",
+      "       AVB 3043\n",
+      "  BIGEMINY 3181\n",
+      "       EAR 4367\n",
+      "       IVR 2572\n",
+      "JUNCTIONAL 2484\n",
+      "     NOISE 10751\n",
+      "     SINUS 33540\n",
+      "       SVT 8228\n",
+      " TRIGEMINY 3119\n",
+      "        VT 5722\n",
+      "WENCKEBACH 2395\n",
+      "Testing set\n",
+      "        AF 59\n",
+      "       AVB 48\n",
+      "  BIGEMINY 22\n",
+      "       EAR 22\n",
+      "       IVR 34\n",
+      "JUNCTIONAL 36\n",
+      "     NOISE 40\n",
+      "     SINUS 213\n",
+      "       SVT 34\n",
+      " TRIGEMINY 20\n",
+      "        VT 17\n",
+      "WENCKEBACH 29\n"
+     ]
+    }
+   ],
+   "source": [
+    "print \"Training set\"\n",
+    "rhythms_per_patient(\"../train.json\")\n",
+    "print \"Testing set\"\n",
+    "rhythms_per_patient(\"../test.json\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}