diff --git a/mcq_tables.py b/mcq_tables.py
new file mode 100644
index 0000000..9aefd5f
--- /dev/null
+++ b/mcq_tables.py
@@ -0,0 +1,13 @@
+def make_table(column):
+    """Converts to percentages and prints md table"""
+    table_dict = column.value_counts().sort_index().to_dict()
+    total = sum(table_dict.values())
+    header_str, between_str, count_str = '', '', ''
+    for k, v in table_dict.items():
+        perc = '%.2f' % round(v / total * 100, 2) + "%"
+        header_str += '| ' + k + ' '
+        between_str += '| --- '
+        count_str += '| ' + perc + ' '
+    print(header_str)
+    print(between_str)
+    print(count_str)
diff --git a/multiple-choice-qs.ipynb b/multiple-choice-qs.ipynb
new file mode 100644
index 0000000..ef1caf2
--- /dev/null
+++ b/multiple-choice-qs.ipynb
@@ -0,0 +1,80 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import spreadsheet cleaning loader\n",
+    "from load_survey_data import load_data, headers\n",
+    "from mcq_tables import make_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datetime import datetime \n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "# Requires openpyxl for read_excel\n",
+    "from pathlib import Path\n",
+    "import re\n",
+    "from IPython.display import Markdown"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sheet = \"summarise-all-results-2023-05-16-1359.xlsx\"\n",
+    "format = \"%Y-%m-%d %H:%M:%S %Z\"\n",
+    "df = load_data(sheet, format)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "for (h, t) in headers.items():\n",
+    "    if t == \"SECTION\":\n",
+    "        display(Markdown(f\"## {h}\"))\n",
+    "    if t == \"RANKING\":\n",
+    "        print(\"#### \", h)\n",
+    "        make_table(df[h])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "satre-feature-survey",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.8"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}