diff --git a/f22/andy_lec_notes/lec17_Oct17_Dictionaries1/amfam_survey_data.csv b/f22/andy_lec_notes/lec17_Oct17_Dictionaries1/amfam_survey_data.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c223c886d305b1d9d536851bfe389576d22f9212
--- /dev/null
+++ b/f22/andy_lec_notes/lec17_Oct17_Dictionaries1/amfam_survey_data.csv
@@ -0,0 +1,33 @@
+pizza topping,state,years,sleep preference,month,pets,lat-long
+mushroom,Florida,7,early bird,March,,"30.263214888389417, -81.54792098150529"
+pineapple,Wisconsin,4,night owl,April,other,"43.1581437, -89.2921125"
+sausage,Wisconsin,10,early bird,July,other,"43.15645, -89.28814"
+pepperoni,WI,7,no preference,September,"dog,cat","43.073051, -89.401230"
+mushroom,madison,7,early bird,November,,
+pepperoni,FL,1,no preference,December,dog,"42.35623761108948, -71.05691488946681"
+pepperoni,Wisconsin,2,night owl,February,,"43.159045128642774, -89.29146323507756"
+mushroom,Florida,0.5,night owl,May,other,"43.160601, -89.287671"
+mushroom,Wisconsin,10,no preference,January,"dog,fish","43.1562216,-89.2880086"
+pineapple,Wisconsin,8,night owl,July,dog,"43.158655, -89.289895"
+sausage,Minnesota,15,no preference,August,"dog,cat","45.13881645889933, -93.47636590830673"
+pepperoni,New Jersey,1,night owl,May,other,"43.07148896663423, -89.40567798752735"
+basil,Rhode Island,1,night owl,March,dog,"43.156490793353775, -89.28796434617352"
+mushroom,TX,1,no preference,January,dog,
+pineapple,Florida,3,early bird,July,other,"27.979191147972834, -82.33356380365498"
+sausage,Wisconsin,0,early bird,December,"dog,cat","43.15631441766965, -89.28785659081201"
+pineapple,Wisconsin,6,no preference,June,dog,"43.157716440341964, -89.28939262164963"
+mushroom,Florida,7,no preference,July,other,"30.053546, -81.514610"
+sausage,Florida,3,early bird,January,"dog,fish","30.263357, -81.547884"
+mac&cheese,Wisconsin,5,night owl,July,dog,"43.158328032172754, -89.28946714938327"
+pepperoni,Wisconsin,10,early bird,April,other,"43.1884213,-89.2762121"
+other,Wisconsin,10,early bird,August,other,"43.15833, -89.28988"
+sausage,WI,14,night owl,September,"dog,cat","43.15733597381252, -89.29013010509833"
+sausage,Wisconsin,6,no preference,August,"dog,cat","43.159061371631616, -89.29141118826759"
+pepperoni,Wisconsin,8,early bird,September,"dog,cat,fish",43.158359 -89.289972
+pineapple,Florida,8,night owl,October,,"30.263432655702932, -81.54807118535949"
+pineapple,TX,4,night owl,October,dog,"42.3558293029345, -71.05683171712127"
+other,WI,2,early bird,June,,
+mushroom,Wisconsin,20,early bird,September,dog,"43.15826500058843, -89.28945716165009"
+sausage,Wisconsin,8,night owl,June,dog,"43.15839022178169, -89.28998287477457"
+sausage,Wisconsin,20,night owl,April,bird,"43.15648555750267, -89.28783647996661"
+pineapple,Texas,0.5,early bird,August,other,"43, 89"
\ No newline at end of file
diff --git a/f22/andy_lec_notes/lec17_Oct17_Dictionaries1/lec17_dictionaries1_template.ipynb b/f22/andy_lec_notes/lec17_Oct17_Dictionaries1/lec17_dictionaries1_template.ipynb
index 4f155350c33f8d7424cc8491684cb1c8d351aa86..676a6398f32b5b60b191a6327b9889ce305dcbbc 100644
--- a/f22/andy_lec_notes/lec17_Oct17_Dictionaries1/lec17_dictionaries1_template.ipynb
+++ b/f22/andy_lec_notes/lec17_Oct17_Dictionaries1/lec17_dictionaries1_template.ipynb
@@ -18,22 +18,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "721"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# Warmup 1: Read in the file 'cs220_survey_data.csv' into a lists of lists\n",
+    "# Warmup 1: Read in the file 'afmfam_survey_data.csv' into a lists of lists\n",
     "\n",
     "\n",
     "# source:  Automate the Boring Stuff with Python Ch 12\n",
@@ -51,29 +40,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['Lecture',\n",
-       " 'Age',\n",
-       " 'Primary major',\n",
-       " 'Other majors',\n",
-       " 'Zip Code',\n",
-       " 'Pizza topping',\n",
-       " 'Pet owner',\n",
-       " 'Runner',\n",
-       " 'Sleep habit',\n",
-       " 'Procrastinator']"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Warmup 2: store the first row in a variable called header\n",
     "header = None\n",
@@ -82,53 +51,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "[['LEC001',\n",
-       "  '19',\n",
-       "  'Business: Other',\n",
-       "  '',\n",
-       "  '53706',\n",
-       "  'pepperoni',\n",
-       "  'Yes',\n",
-       "  'No',\n",
-       "  'early bird',\n",
-       "  'Yes'],\n",
-       " ['LEC001',\n",
-       "  '21',\n",
-       "  'Other',\n",
-       "  'Economics/Philosophy, Data Science Certificate',\n",
-       "  '53703',\n",
-       "  'pepperoni',\n",
-       "  'Yes',\n",
-       "  'No',\n",
-       "  'no preference',\n",
-       "  'Yes'],\n",
-       " ['LEC003',\n",
-       "  '19',\n",
-       "  'Computer Science',\n",
-       "  'Data science',\n",
-       "  '53706',\n",
-       "  'pineapple',\n",
-       "  'Yes',\n",
-       "  'Yes',\n",
-       "  'night owl',\n",
-       "  'Yes']]"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "TypeError",
+     "evalue": "'NoneType' object is not subscriptable",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [5]\u001b[0m, in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Warmup 3: store the rest of the data in a variable called rows\u001b[39;00m\n\u001b[1;32m      2\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mrows\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\n",
+      "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
+     ]
     }
    ],
    "source": [
     "# Warmup 3: store the rest of the data in a variable called rows\n",
     "rows = None\n",
-    "rows\n",
+    "\n",
+    "# show the first 3 rows\n",
+    "\n",
     "\n"
    ]
   },
@@ -151,11 +94,10 @@
     "\n",
     "def count_col_frequency(value, col_name):\n",
     "    ''' returns the frequency of value in col_name '''\n",
-    "    count = 0\n",
-    "    for row in rows:\n",
-    "        if row[header.index(col_name)] == value:\n",
-    "            count += 1\n",
-    "    return count\n"
+    "    \n",
+    "    #Hint: use if row[header.index(col_name)] == value:\n",
+    "    return None\n",
+    "\n"
    ]
   },
   {
@@ -207,7 +149,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## March 7: Dictionaries\n",
+    "## Lecture 17: Dictionaries\n",
     "\n",
     "Learning Objectives:\n",
     "- Use correct dictionary syntax \n",
@@ -305,10 +247,10 @@
     "print(price_dict)      # number of key/value pairs\n",
     "\n",
     "#get the price for a certain item\n",
-    "print(price_dict)  # name of dict [ key]\n",
+    "print(...)  # name of dict [ key]\n",
     "\n",
     "#get the price for donut\n",
-    "print(price_dict)\n",
+    "print(...)\n",
     "\n",
     "# what's wrong with this line? \n",
     "# print(price_dict[1.25])\n"
@@ -387,6 +329,13 @@
     "price_dict"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The .pop() method removes a key/value pair"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 21,
@@ -407,6 +356,13 @@
     "    price_dict.pop('pizza')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The .keys() and .values() methods return a list-like object"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 23,
@@ -636,7 +592,7 @@
     }
    ],
    "source": [
-    "# Example 3a. Same as 2a, but use the survey_data\n",
+    "# Example 3a. Same as 2a, but use the survey_data for pizza topping\n",
     "major_freq = dict() # another way to make a dictionary\n",
     "\n",
     "major_freq"
@@ -651,24 +607,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "the major Engineering appeared 328 times\n"
+     "ename": "NameError",
+     "evalue": "name 'most_used_key' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [6]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Example 3b: use the algorithm from 2b to find the pizza topping with the highest frequency\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m# find the frequency of each major\u001b[39;00m\n\u001b[0;32m----> 6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mthe pizza topping \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m appeared \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m times\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mstr\u001b[39m(\u001b[43mmost_used_key\u001b[49m), max_value))\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'most_used_key' is not defined"
      ]
     }
    ],
    "source": [
-    "# Example 3b: use the algorithm from 2b to find the major with the highest frequency\n",
+    "# Example 3b: use the algorithm from 2b to find the pizza topping with the highest frequency\n",
     "\n",
     "# find the frequency of each major\n",
     "\n",
     "\n",
-    "print(\"the major {} appeared {} times\".format(str(most_used_key), max_value))\n"
+    "print(\"the pizza topping {} appeared {} times\".format(str(most_used_key), max_value))\n"
    ]
   },
   {
@@ -735,7 +695,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -749,7 +709,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,