diff --git a/f22/andy_lec_notes/lec15_Oct12_CSV_Files/amfam_survey_data.csv b/f22/andy_lec_notes/lec15_Oct12_CSV_Files/amfam_survey_data.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c223c886d305b1d9d536851bfe389576d22f9212
--- /dev/null
+++ b/f22/andy_lec_notes/lec15_Oct12_CSV_Files/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/lec15_Oct12_CSV_Files/lec15_csvfiles_completed.ipynb b/f22/andy_lec_notes/lec15_Oct12_CSV_Files/lec15_csvfiles_completed.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..50a42131b8d0ea029df0f8306482e629eb58958e
--- /dev/null
+++ b/f22/andy_lec_notes/lec15_Oct12_CSV_Files/lec15_csvfiles_completed.ipynb
@@ -0,0 +1,904 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1"
+ ]
+ },
+ "execution_count": 40,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Warmup #1: Take a look at these list methods \n",
+ "# https://www.w3schools.com/python/python_ref_list.asp\n",
+ "dairy = [\"milk\", \"ice cream\", \"cheese\", \"yogurt\" ]\n",
+ "\n",
+ "#use the .index() method to get the index of \"ice cream\"\n",
+ "\n",
+ "dairy.index(\"ice cream\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "peanut butter is not dairy\n",
+ "milk is dairy\n",
+ "bread is not dairy\n",
+ "cheese is dairy\n",
+ "YOGURT is not dairy\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Warmup #2: Because a list is a sequence, we can use the 'in' operator\n",
+ "food_shelf = [\"peanut butter\", \"milk\", \"bread\", \"cheese\", \"YOGURT\"]\n",
+ "for item in food_shelf:\n",
+ " if item in dairy:\n",
+ " print(item, \"is dairy\")\n",
+ " else:\n",
+ " print(item, \"is not dairy\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Lecture 15: CSV Files\n",
+ "\n",
+ "\n",
+ "## Learning Objectives\n",
+ "After this lecture you will be able to...\n",
+ "- Open an Excel file and export it to a Comma Separated Value file.\n",
+ "\n",
+ "- Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet.\n",
+ "\n",
+ "- Use pre-written Python code to read a CSV file into a list of lists.\n",
+ "\n",
+ "- Write Python statements with double list indexing to access any element of a CSV file via a list of lists.\n",
+ "\n",
+ "- Write code that answers questions about CSV data by writing for loops on lists of lists.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Open the file of student survey data in Jupyter\n",
+ "\n",
+ "# Then open it in Windows ... what program opened? "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# What do you notice? Take notes here\n",
+ "# "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Use pre-written Python code to read a CSV file into a list of lists."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "\n",
+ "\n",
+ "# inspired by https://automatetheboringstuff.com/chapter14/\n",
+ "import csv\n",
+ "\n",
+ "def process_csv(filename):\n",
+ " # open the file, its a text file utf-8\n",
+ " exampleFile = open(filename, encoding=\"utf-8\") \n",
+ " \n",
+ " # prepare it for reading as a CSV object\n",
+ " exampleReader = csv.reader(exampleFile) \n",
+ " \n",
+ " # use the built-in list function to convert this into a list of lists\n",
+ " exampleData = list(exampleReader) \n",
+ " \n",
+ " # close the file to tidy up our workspace\n",
+ " exampleFile.close() \n",
+ " \n",
+ " # return the list of lists\n",
+ " return exampleData\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[['pizza topping',\n",
+ " 'state',\n",
+ " 'years',\n",
+ " 'sleep preference',\n",
+ " 'month',\n",
+ " 'pets',\n",
+ " 'lat-long'],\n",
+ " ['mushroom',\n",
+ " 'Florida',\n",
+ " '7',\n",
+ " 'early bird',\n",
+ " 'March',\n",
+ " '',\n",
+ " '30.263214888389417, -81.54792098150529'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '4',\n",
+ " 'night owl',\n",
+ " 'April',\n",
+ " 'other',\n",
+ " '43.1581437, -89.2921125']]"
+ ]
+ },
+ "execution_count": 45,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Call the process_csv function and store the list of lists in cs220_csv\n",
+ "cs220_csv = process_csv('amfam_survey_data.csv')\n",
+ "cs220_csv[:3]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['pizza topping',\n",
+ " 'state',\n",
+ " 'years',\n",
+ " 'sleep preference',\n",
+ " 'month',\n",
+ " 'pets',\n",
+ " 'lat-long']"
+ ]
+ },
+ "execution_count": 46,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Store the header row into cs220_header\n",
+ "cs220_header = cs220_csv[0]\n",
+ "cs220_header"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[['mushroom',\n",
+ " 'Florida',\n",
+ " '7',\n",
+ " 'early bird',\n",
+ " 'March',\n",
+ " '',\n",
+ " '30.263214888389417, -81.54792098150529'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '4',\n",
+ " 'night owl',\n",
+ " 'April',\n",
+ " 'other',\n",
+ " '43.1581437, -89.2921125'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'early bird',\n",
+ " 'July',\n",
+ " 'other',\n",
+ " '43.15645, -89.28814'],\n",
+ " ['pepperoni',\n",
+ " 'WI',\n",
+ " '7',\n",
+ " 'no preference',\n",
+ " 'September',\n",
+ " 'dog,cat',\n",
+ " '43.073051, -89.401230'],\n",
+ " ['mushroom', 'madison', '7', 'early bird', 'November', '', ''],\n",
+ " ['pepperoni',\n",
+ " 'FL',\n",
+ " '1',\n",
+ " 'no preference',\n",
+ " 'December',\n",
+ " 'dog',\n",
+ " '42.35623761108948, -71.05691488946681'],\n",
+ " ['pepperoni',\n",
+ " 'Wisconsin',\n",
+ " '2',\n",
+ " 'night owl',\n",
+ " 'February',\n",
+ " '',\n",
+ " '43.159045128642774, -89.29146323507756'],\n",
+ " ['mushroom',\n",
+ " 'Florida',\n",
+ " '0.5',\n",
+ " 'night owl',\n",
+ " 'May',\n",
+ " 'other',\n",
+ " '43.160601, -89.287671'],\n",
+ " ['mushroom',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'no preference',\n",
+ " 'January',\n",
+ " 'dog,fish',\n",
+ " '43.1562216,-89.2880086'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '8',\n",
+ " 'night owl',\n",
+ " 'July',\n",
+ " 'dog',\n",
+ " '43.158655, -89.289895'],\n",
+ " ['sausage',\n",
+ " 'Minnesota',\n",
+ " '15',\n",
+ " 'no preference',\n",
+ " 'August',\n",
+ " 'dog,cat',\n",
+ " '45.13881645889933, -93.47636590830673'],\n",
+ " ['pepperoni',\n",
+ " 'New Jersey',\n",
+ " '1',\n",
+ " 'night owl',\n",
+ " 'May',\n",
+ " 'other',\n",
+ " '43.07148896663423, -89.40567798752735'],\n",
+ " ['basil',\n",
+ " 'Rhode Island',\n",
+ " '1',\n",
+ " 'night owl',\n",
+ " 'March',\n",
+ " 'dog',\n",
+ " '43.156490793353775, -89.28796434617352'],\n",
+ " ['mushroom', 'TX', '1', 'no preference', 'January', 'dog', ''],\n",
+ " ['pineapple',\n",
+ " 'Florida',\n",
+ " '3',\n",
+ " 'early bird',\n",
+ " 'July',\n",
+ " 'other',\n",
+ " '27.979191147972834, -82.33356380365498'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '0',\n",
+ " 'early bird',\n",
+ " 'December',\n",
+ " 'dog,cat',\n",
+ " '43.15631441766965, -89.28785659081201'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '6',\n",
+ " 'no preference',\n",
+ " 'June',\n",
+ " 'dog',\n",
+ " '43.157716440341964, -89.28939262164963'],\n",
+ " ['mushroom',\n",
+ " 'Florida',\n",
+ " '7',\n",
+ " 'no preference',\n",
+ " 'July',\n",
+ " 'other',\n",
+ " '30.053546, -81.514610'],\n",
+ " ['sausage',\n",
+ " 'Florida',\n",
+ " '3',\n",
+ " 'early bird',\n",
+ " 'January',\n",
+ " 'dog,fish',\n",
+ " '30.263357, -81.547884'],\n",
+ " ['mac&cheese',\n",
+ " 'Wisconsin',\n",
+ " '5',\n",
+ " 'night owl',\n",
+ " 'July',\n",
+ " 'dog',\n",
+ " '43.158328032172754, -89.28946714938327'],\n",
+ " ['pepperoni',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'early bird',\n",
+ " 'April',\n",
+ " 'other',\n",
+ " '43.1884213,-89.2762121'],\n",
+ " ['other',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'early bird',\n",
+ " 'August',\n",
+ " 'other',\n",
+ " '43.15833, -89.28988'],\n",
+ " ['sausage',\n",
+ " 'WI',\n",
+ " '14',\n",
+ " 'night owl',\n",
+ " 'September',\n",
+ " 'dog,cat',\n",
+ " '43.15733597381252, -89.29013010509833'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '6',\n",
+ " 'no preference',\n",
+ " 'August',\n",
+ " 'dog,cat',\n",
+ " '43.159061371631616, -89.29141118826759'],\n",
+ " ['pepperoni',\n",
+ " 'Wisconsin',\n",
+ " '8',\n",
+ " 'early bird',\n",
+ " 'September',\n",
+ " 'dog,cat,fish',\n",
+ " '43.158359 -89.289972'],\n",
+ " ['pineapple',\n",
+ " 'Florida',\n",
+ " '8',\n",
+ " 'night owl',\n",
+ " 'October',\n",
+ " '',\n",
+ " '30.263432655702932, -81.54807118535949'],\n",
+ " ['pineapple',\n",
+ " 'TX',\n",
+ " '4',\n",
+ " 'night owl',\n",
+ " 'October',\n",
+ " 'dog',\n",
+ " '42.3558293029345, -71.05683171712127'],\n",
+ " ['other', 'WI', '2', 'early bird', 'June', '', ''],\n",
+ " ['mushroom',\n",
+ " 'Wisconsin',\n",
+ " '20',\n",
+ " 'early bird',\n",
+ " 'September',\n",
+ " 'dog',\n",
+ " '43.15826500058843, -89.28945716165009'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '8',\n",
+ " 'night owl',\n",
+ " 'June',\n",
+ " 'dog',\n",
+ " '43.15839022178169, -89.28998287477457'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '20',\n",
+ " 'night owl',\n",
+ " 'April',\n",
+ " 'bird',\n",
+ " '43.15648555750267, -89.28783647996661'],\n",
+ " ['pineapple', 'Texas', '0.5', 'early bird', 'August', 'other', '43, 89']]"
+ ]
+ },
+ "execution_count": 47,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Store all of the data rows into cs220_data\n",
+ "cs220_data = cs220_csv[1:]\n",
+ "cs220_data"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## CSVs as a List of Lists"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "32"
+ ]
+ },
+ "execution_count": 48,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Determine how many students completed the survey.\n",
+ "len(cs220_data)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['mushroom',\n",
+ " 'Florida',\n",
+ " '7',\n",
+ " 'early bird',\n",
+ " 'March',\n",
+ " '',\n",
+ " '30.263214888389417, -81.54792098150529']"
+ ]
+ },
+ "execution_count": 49,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# show the entire 1st row of actual data\n",
+ "cs220_data[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'pineapple'"
+ ]
+ },
+ "execution_count": 51,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Find the pizza topping for the 2nd student...by hardcoding its row and column....\n",
+ "cs220_data[1][0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'43.073051, -89.401230'"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Find the lat-long of the 4th student...by hardcoding its row and column....\n",
+ "cs220_data[3][-1]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "early bird\t\t\n",
+ "night owl\t\tother\n",
+ "early bird\t\tother\n",
+ "no preference\t\tdog,cat\n",
+ "early bird\t\t\n",
+ "no preference\t\tdog\n",
+ "night owl\t\t\n",
+ "night owl\t\tother\n",
+ "no preference\t\tdog,fish\n",
+ "night owl\t\tdog\n",
+ "no preference\t\tdog,cat\n",
+ "night owl\t\tother\n",
+ "night owl\t\tdog\n",
+ "no preference\t\tdog\n",
+ "early bird\t\tother\n",
+ "early bird\t\tdog,cat\n",
+ "no preference\t\tdog\n",
+ "no preference\t\tother\n",
+ "early bird\t\tdog,fish\n",
+ "night owl\t\tdog\n",
+ "early bird\t\tother\n",
+ "early bird\t\tother\n",
+ "night owl\t\tdog,cat\n",
+ "no preference\t\tdog,cat\n",
+ "early bird\t\tdog,cat,fish\n",
+ "night owl\t\t\n",
+ "night owl\t\tdog\n",
+ "early bird\t\t\n",
+ "early bird\t\tdog\n",
+ "night owl\t\tdog\n",
+ "night owl\t\tbird\n",
+ "early bird\t\tother\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Print out every student's sleep habit and pets\n",
+ "# use for \n",
+ "for row in cs220_data:\n",
+ " current_sleep_habit = row[cs220_header.index(\"sleep preference\")]\n",
+ " pets = row[cs220_header.index(\"pets\")]\n",
+ " print(current_sleep_habit + '\\t\\t' + pets)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Florida 7.0\n",
+ "FL 1.0\n",
+ "Florida 0.5\n",
+ "Minnesota 15.0\n",
+ "New Jersey 1.0\n",
+ "Rhode Island 1.0\n",
+ "TX 1.0\n",
+ "Florida 3.0\n",
+ "Florida 7.0\n",
+ "Florida 3.0\n",
+ "Florida 8.0\n",
+ "TX 4.0\n",
+ "Texas 0.5\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "4.0"
+ ]
+ },
+ "execution_count": 54,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Find the average years of people who do not live in Wisconsin\n",
+ "total_years = 0\n",
+ "count = 0\n",
+ "for row in cs220_data:\n",
+ " years = float(row[cs220_header.index(\"years\")])\n",
+ " state = (row[cs220_header.index(\"state\")])\n",
+ " if state not in [\"Wisconsin\", \"WI\", \"madison\"]:\n",
+ " total_years += years\n",
+ " count += 1\n",
+ " print(state, years)\n",
+ "avg = total_years / count\n",
+ "avg"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## It would be nice to have a helper function!\n",
+ "A function that easily accesses a `cell`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['pizza topping',\n",
+ " 'state',\n",
+ " 'years',\n",
+ " 'sleep preference',\n",
+ " 'month',\n",
+ " 'pets',\n",
+ " 'lat-long']"
+ ]
+ },
+ "execution_count": 55,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# How do we get the names of all the columns?\n",
+ "cs220_header"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0"
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Get the column index of \"Pizza topping\"\n",
+ "cs220_header.index(\"pizza topping\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# We want to invoke something like...\n",
+ "# cell(24, <colName>)\n",
+ "def cell_v1(row_idx, col_name):\n",
+ " col_idx = cs220_header.index(col_name) # get the index of col_name\n",
+ " val = cs220_data[row_idx][col_idx] # get the value of cs220_data at the specified cell\n",
+ " return val"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'WI'"
+ ]
+ },
+ "execution_count": 58,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Print out the state of the 4th student... using the cell function\n",
+ "cell_v1(3, \"state\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Florida 7.0\n",
+ "FL 1.0\n",
+ "Florida 0.5\n",
+ "Minnesota 15.0\n",
+ "New Jersey 1.0\n",
+ "Rhode Island 1.0\n",
+ "TX 1.0\n",
+ "Florida 3.0\n",
+ "Florida 7.0\n",
+ "Florida 3.0\n",
+ "Florida 8.0\n",
+ "TX 4.0\n",
+ "Texas 0.5\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "4.0"
+ ]
+ },
+ "execution_count": 59,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Redo above probllem cell function\n",
+ "# Find the average years of people who do not live in Wisconsin\n",
+ "total_years = 0\n",
+ "count = 0\n",
+ "for i in range(len(cs220_data)):\n",
+ " years = float(cell_v1(i, \"years\"))\n",
+ " state = cell_v1(i, \"state\")\n",
+ " if state not in [\"Wisconsin\", \"WI\", \"madison\"]:\n",
+ " total_years += years\n",
+ " count += 1\n",
+ " print(state, years)\n",
+ "avg = total_years / count\n",
+ "avg"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['pizza topping',\n",
+ " 'state',\n",
+ " 'years',\n",
+ " 'sleep preference',\n",
+ " 'month',\n",
+ " 'pets',\n",
+ " 'lat-long']"
+ ]
+ },
+ "execution_count": 60,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# redo .... using the cell function\n",
+ "cs220_header"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Improve the cell function so it returns the appropriate type.\n",
+ "# If there is nothing in the cell, return None\n",
+ "# otherwise, use the col_name to convert to the expected type\n",
+ "def cell(row_idx, col_name):\n",
+ " col_idx = cs220_header.index(col_name) # get the index of col_name\n",
+ " val = cs220_data[row_idx][col_idx] # get the value of cs220_data at the specified cell\n",
+ " if col_idx == 2:\n",
+ " return float(val)\n",
+ " else:\n",
+ " return val"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'43.15645, -89.28814'"
+ ]
+ },
+ "execution_count": 62,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# # redo again using the improved cell function\n",
+ "cell(2, \"lat-long\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Practice problems"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# What percentage of students chose a non-meat pizza topping?\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# What do you want to find out ? Try it out on your own"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.9.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/f22/andy_lec_notes/lec15_Oct12_CSV_Files/lec15_csvfiles_template.ipynb b/f22/andy_lec_notes/lec15_Oct12_CSV_Files/lec15_csvfiles_template.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..1d090a7674fa7e57e72aaa0f72b7d791ddc36d23
--- /dev/null
+++ b/f22/andy_lec_notes/lec15_Oct12_CSV_Files/lec15_csvfiles_template.ipynb
@@ -0,0 +1,644 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Warmup #1: Take a look at these list methods \n",
+ "# https://www.w3schools.com/python/python_ref_list.asp\n",
+ "dairy = [\"milk\", \"ice cream\", \"cheese\", \"yogurt\" ]\n",
+ "\n",
+ "#use the .index() method to get the index of \"ice cream\"\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "peanut butter is dairy\n",
+ "milk is dairy\n",
+ "bread is dairy\n",
+ "cheese is dairy\n",
+ "YOGURT is dairy\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Warmup #2: Because a list is a sequence, we can use the 'in' operator\n",
+ "food_shelf = [\"peanut butter\", \"milk\", \"bread\", \"cheese\", \"YOGURT\"]\n",
+ "for item in food_shelf:\n",
+ " if ... : \n",
+ " print(item, \"is dairy\")\n",
+ " else:\n",
+ " print(item, \"is not dairy\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Lecture 15: CSV Files\n",
+ "\n",
+ "\n",
+ "## Learning Objectives\n",
+ "After this lecture you will be able to...\n",
+ "- Open an Excel file and export it to a Comma Separated Value file.\n",
+ "\n",
+ "- Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet.\n",
+ "\n",
+ "- Use pre-written Python code to read a CSV file into a list of lists.\n",
+ "\n",
+ "- Write Python statements with double list indexing to access any element of a CSV file via a list of lists.\n",
+ "\n",
+ "- Write code that answers questions about CSV data by writing for loops on lists of lists.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Open the file of student survey data in Jupyter\n",
+ "\n",
+ "# Then open it in Windows ... what program opened? "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# What do you notice? Take notes here\n",
+ "# "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Use pre-written Python code to read a CSV file into a list of lists."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "\n",
+ "\n",
+ "# inspired by https://automatetheboringstuff.com/chapter14/\n",
+ "import csv\n",
+ "\n",
+ "def process_csv(filename):\n",
+ " # open the file, its a text file utf-8\n",
+ " exampleFile = open(filename, encoding=\"utf-8\") \n",
+ " \n",
+ " # prepare it for reading as a CSV object\n",
+ " exampleReader = csv.reader(exampleFile) \n",
+ " \n",
+ " # use the built-in list function to convert this into a list of lists\n",
+ " exampleData = list(exampleReader) \n",
+ " \n",
+ " # close the file to tidy up our workspace\n",
+ " exampleFile.close() \n",
+ " \n",
+ " # return the list of lists\n",
+ " return exampleData\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[['pizza topping',\n",
+ " 'state',\n",
+ " 'years',\n",
+ " 'sleep preference',\n",
+ " 'month',\n",
+ " 'pets',\n",
+ " 'lat-long'],\n",
+ " ['mushroom',\n",
+ " 'Florida',\n",
+ " '7',\n",
+ " 'early bird',\n",
+ " 'March',\n",
+ " '',\n",
+ " '30.263214888389417, -81.54792098150529'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '4',\n",
+ " 'night owl',\n",
+ " 'April',\n",
+ " 'other',\n",
+ " '43.1581437, -89.2921125']]"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Call the process_csv function and store the list of lists in cs220_csv\n",
+ "cs220_csv = process_csv('amfam_survey_data.csv')\n",
+ "cs220_csv[:3]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['pizza topping',\n",
+ " 'state',\n",
+ " 'years',\n",
+ " 'sleep preference',\n",
+ " 'month',\n",
+ " 'pets',\n",
+ " 'lat-long']"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Store the header row into cs220_header\n",
+ "cs220_header = cs220_csv[0]\n",
+ "cs220_header"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[['mushroom',\n",
+ " 'Florida',\n",
+ " '7',\n",
+ " 'early bird',\n",
+ " 'March',\n",
+ " '',\n",
+ " '30.263214888389417, -81.54792098150529'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '4',\n",
+ " 'night owl',\n",
+ " 'April',\n",
+ " 'other',\n",
+ " '43.1581437, -89.2921125'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'early bird',\n",
+ " 'July',\n",
+ " 'other',\n",
+ " '43.15645, -89.28814'],\n",
+ " ['pepperoni',\n",
+ " 'WI',\n",
+ " '7',\n",
+ " 'no preference',\n",
+ " 'September',\n",
+ " 'dog,cat',\n",
+ " '43.073051, -89.401230'],\n",
+ " ['mushroom', 'madison', '7', 'early bird', 'November', '', ''],\n",
+ " ['pepperoni',\n",
+ " 'FL',\n",
+ " '1',\n",
+ " 'no preference',\n",
+ " 'December',\n",
+ " 'dog',\n",
+ " '42.35623761108948, -71.05691488946681'],\n",
+ " ['pepperoni',\n",
+ " 'Wisconsin',\n",
+ " '2',\n",
+ " 'night owl',\n",
+ " 'February',\n",
+ " '',\n",
+ " '43.159045128642774, -89.29146323507756'],\n",
+ " ['mushroom',\n",
+ " 'Florida',\n",
+ " '0.5',\n",
+ " 'night owl',\n",
+ " 'May',\n",
+ " 'other',\n",
+ " '43.160601, -89.287671'],\n",
+ " ['mushroom',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'no preference',\n",
+ " 'January',\n",
+ " 'dog,fish',\n",
+ " '43.1562216,-89.2880086'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '8',\n",
+ " 'night owl',\n",
+ " 'July',\n",
+ " 'dog',\n",
+ " '43.158655, -89.289895'],\n",
+ " ['sausage',\n",
+ " 'Minnesota',\n",
+ " '15',\n",
+ " 'no preference',\n",
+ " 'August',\n",
+ " 'dog,cat',\n",
+ " '45.13881645889933, -93.47636590830673'],\n",
+ " ['pepperoni',\n",
+ " 'New Jersey',\n",
+ " '1',\n",
+ " 'night owl',\n",
+ " 'May',\n",
+ " 'other',\n",
+ " '43.07148896663423, -89.40567798752735'],\n",
+ " ['basil',\n",
+ " 'Rhode Island',\n",
+ " '1',\n",
+ " 'night owl',\n",
+ " 'March',\n",
+ " 'dog',\n",
+ " '43.156490793353775, -89.28796434617352'],\n",
+ " ['mushroom', 'TX', '1', 'no preference', 'January', 'dog', ''],\n",
+ " ['pineapple',\n",
+ " 'Florida',\n",
+ " '3',\n",
+ " 'early bird',\n",
+ " 'July',\n",
+ " 'other',\n",
+ " '27.979191147972834, -82.33356380365498'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '0',\n",
+ " 'early bird',\n",
+ " 'December',\n",
+ " 'dog,cat',\n",
+ " '43.15631441766965, -89.28785659081201'],\n",
+ " ['pineapple',\n",
+ " 'Wisconsin',\n",
+ " '6',\n",
+ " 'no preference',\n",
+ " 'June',\n",
+ " 'dog',\n",
+ " '43.157716440341964, -89.28939262164963'],\n",
+ " ['mushroom',\n",
+ " 'Florida',\n",
+ " '7',\n",
+ " 'no preference',\n",
+ " 'July',\n",
+ " 'other',\n",
+ " '30.053546, -81.514610'],\n",
+ " ['sausage',\n",
+ " 'Florida',\n",
+ " '3',\n",
+ " 'early bird',\n",
+ " 'January',\n",
+ " 'dog,fish',\n",
+ " '30.263357, -81.547884'],\n",
+ " ['mac&cheese',\n",
+ " 'Wisconsin',\n",
+ " '5',\n",
+ " 'night owl',\n",
+ " 'July',\n",
+ " 'dog',\n",
+ " '43.158328032172754, -89.28946714938327'],\n",
+ " ['pepperoni',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'early bird',\n",
+ " 'April',\n",
+ " 'other',\n",
+ " '43.1884213,-89.2762121'],\n",
+ " ['other',\n",
+ " 'Wisconsin',\n",
+ " '10',\n",
+ " 'early bird',\n",
+ " 'August',\n",
+ " 'other',\n",
+ " '43.15833, -89.28988'],\n",
+ " ['sausage',\n",
+ " 'WI',\n",
+ " '14',\n",
+ " 'night owl',\n",
+ " 'September',\n",
+ " 'dog,cat',\n",
+ " '43.15733597381252, -89.29013010509833'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '6',\n",
+ " 'no preference',\n",
+ " 'August',\n",
+ " 'dog,cat',\n",
+ " '43.159061371631616, -89.29141118826759'],\n",
+ " ['pepperoni',\n",
+ " 'Wisconsin',\n",
+ " '8',\n",
+ " 'early bird',\n",
+ " 'September',\n",
+ " 'dog,cat,fish',\n",
+ " '43.158359 -89.289972'],\n",
+ " ['pineapple',\n",
+ " 'Florida',\n",
+ " '8',\n",
+ " 'night owl',\n",
+ " 'October',\n",
+ " '',\n",
+ " '30.263432655702932, -81.54807118535949'],\n",
+ " ['pineapple',\n",
+ " 'TX',\n",
+ " '4',\n",
+ " 'night owl',\n",
+ " 'October',\n",
+ " 'dog',\n",
+ " '42.3558293029345, -71.05683171712127'],\n",
+ " ['other', 'WI', '2', 'early bird', 'June', '', ''],\n",
+ " ['mushroom',\n",
+ " 'Wisconsin',\n",
+ " '20',\n",
+ " 'early bird',\n",
+ " 'September',\n",
+ " 'dog',\n",
+ " '43.15826500058843, -89.28945716165009'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '8',\n",
+ " 'night owl',\n",
+ " 'June',\n",
+ " 'dog',\n",
+ " '43.15839022178169, -89.28998287477457'],\n",
+ " ['sausage',\n",
+ " 'Wisconsin',\n",
+ " '20',\n",
+ " 'night owl',\n",
+ " 'April',\n",
+ " 'bird',\n",
+ " '43.15648555750267, -89.28783647996661'],\n",
+ " ['pineapple', 'Texas', '0.5', 'early bird', 'August', 'other', '43, 89']]"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Store all of the data rows into cs220_data\n",
+ "cs220_data = cs220_csv[1:]\n",
+ "cs220_data"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## CSVs as a List of Lists"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Determine how many students completed the survey.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# show the entire 1st row of actual data\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Find the pizza topping for the 2nd student...by hardcoding its row and column....\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Find the lat-long of the 4th student...by hardcoding its row and column....\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Print out every student's sleep habit and pets\n",
+ "# use for \n",
+ "for row in cs220_data:\n",
+ " current_sleep_habit = None\n",
+ " pets = None\n",
+ " print(current_sleep_habit + '\\t\\t' + pets)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Create a list containing the average years of people who do not live in Wisconsin\n",
+ "\n",
+ "\n",
+ "\n",
+ "for row in cs220_data:\n",
+ " pass"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## It would be nice to have a helper function!\n",
+ "A function that easily accesses a `cell`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# How do we get the names of all the columns?\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Get the column index of \"Pizza topping\"\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# We want to invoke something like...\n",
+ "# cell(24, <colName>)\n",
+ "def cell_v1(row_idx, col_name):\n",
+ " col_idx = ??? # get the index of col_name\n",
+ " val = ??? # get the value of cs220_data at the specified cell\n",
+ " return val"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Print out the lecture number of the 4th student... using the cell function\n",
+ "cell_v1(???, ???)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Redo above probllem cell function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# redo .... using the cell function\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Improve the cell function so it returns the appropriate type.\n",
+ "# If there is nothing in the cell, return None\n",
+ "# otherwise, use the col_name to convert to the expected type\n",
+ "def cell(row_idx, col_name):\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# # redo again using the improved cell function"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Practice problems"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# What percentage of students chose a non-meat pizza topping?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# What do you want to find out ? "
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.9.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/f22/andy_lec_notes/lec_15/readme.md b/f22/andy_lec_notes/lec15_Oct12_CSV_Files/readme.md
similarity index 100%
rename from f22/andy_lec_notes/lec_15/readme.md
rename to f22/andy_lec_notes/lec15_Oct12_CSV_Files/readme.md
diff --git a/f22/andy_lec_notes/lec_15/cs220_survey_data.csv b/f22/andy_lec_notes/lec_15/cs220_survey_data.csv
deleted file mode 100644
index efb10cc377003b4daf25c8d582b5acd5fbca9a39..0000000000000000000000000000000000000000
--- a/f22/andy_lec_notes/lec_15/cs220_survey_data.csv
+++ /dev/null
@@ -1,721 +0,0 @@
-Lecture,Age,Primary major,Other majors,Zip Code,Pizza topping,Pet owner,Runner,Sleep habit,Procrastinator
-LEC002,19,Engineering: Mechanical,,53711,pepperoni,Yes,No,night owl,Maybe
-LEC002,20,Science: Physics,"Astronomy-Physics, History",53726,pineapple,Yes,Yes,night owl,Yes
-LEC001,20,Science: Chemistry,,53703,pepperoni,Yes,No,early bird,No
-LEC004,19,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,No
-LEC004,20,Other,Economics ,53715,mushroom,Yes,Yes,no preference,Maybe
-LEC003,18,Statistics,,53706,Other,Yes,No,night owl,Yes
-LEC003,18,Mathematics/AMEP,,53706,sausage,No,No,night owl,No
-LEC004,18,Engineering: Biomedical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,19,Data Science,Stats,53715,pineapple,Yes,No,no preference,No
-LEC003,19,Business: Finance,,53703,sausage,Yes,Yes,early bird,Yes
-LEC003,18,Engineering: Mechanical,,53706,Other,No,No,no preference,No
-LEC004,18,Other,I am undecided – thinking about Data Science Major,53706,basil/spinach,Yes,No,night owl,Maybe
-LEC004,19,Engineering: Other,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,18,Statistics,psychology,53706,mushroom,No,No,night owl,Yes
-LEC004,20,Statistics,Mathematics ,53726,pepperoni,Yes,Yes,early bird,Maybe
-LEC004,20,Mathematics/AMEP,,53711,sausage,Yes,No,night owl,Yes
-LEC003,18,Science: Physics,Data Science,53706,pepperoni,No,Yes,early bird,No
-LEC003,19,Data Science,Economics,53715,pepperoni,No,Yes,no preference,Maybe
-LEC003,19,Engineering: Mechanical,nuclear engineering,53706,sausage,Yes,No,night owl,Yes
-LEC003,21,Science: Chemistry,,,green pepper,Yes,No,early bird,Maybe
-LEC003,18,Engineering: Other,,53706,pepperoni,Yes,Yes,no preference,Yes
-LEC003,,Engineering: Other,,,pineapple,Yes,No,early bird,Maybe
-LEC002,20,Computer Science,Data Science,53706,basil/spinach,Yes,No,night owl,Maybe
-LEC002,21,Science: Other,,53703,sausage,Yes,No,early bird,Maybe
-LEC001,21,Computer Science,Data Science,53715,pepperoni,Yes,No,night owl,Maybe
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,No,early bird,Maybe
-LEC002,18,Languages,Linguistics,53706,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC002,18,Engineering: Mechanical,,53706,Other,No,Yes,night owl,Maybe
-LEC002,18,Other,,53706,none (just cheese),Yes,Yes,night owl,Yes
-LEC001,19,Science: Other,,53706,mushroom,Yes,No,night owl,Yes
-LEC001,18,Engineering: Biomedical,,,pepperoni,Yes,No,no preference,Maybe
-LEC003,19,Engineering: Biomedical,,53706,none (just cheese),Yes,No,night owl,Maybe
-LEC001,20,Science: Physics,Mathematics,53703,pineapple,Yes,No,early bird,No
-LEC002,28,Science: Other,,53703,pineapple,Yes,Yes,night owl,Maybe
-LEC001,18,Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Engineering: Other,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Science: Physics,Life Science Communication,53706,pineapple,Yes,No,night owl,Yes
-LEC003,18,Engineering: Biomedical,pre-medicine,53706,sausage,Yes,Yes,early bird,No
-LEC003,,Engineering: Biomedical,,53706,none (just cheese),No,Yes,early bird,Yes
-LEC001,21,Science: Other,,53711,pepperoni,Yes,No,night owl,No
-LEC002,18,Engineering: Biomedical,,53706,sausage,Yes,No,no preference,No
-LEC001,18,Engineering: Biomedical,,53706,macaroni/pasta,Yes,No,early bird,Yes
-LEC004,21,Engineering: Biomedical,,53703,pepperoni,Yes,No,no preference,Yes
-LEC004,18,Business: Information Systems,,53706,pepperoni,Yes,Yes,night owl,No
-LEC001,19,Business: Actuarial,Data Science and Analytics,53706,pepperoni,Yes,Yes,night owl,No
-LEC001,22,Engineering: Industrial,,,sausage,Yes,No,night owl,Yes
-LEC003,20,Other,"data science, business",53703,mushroom,Yes,Yes,no preference,Maybe
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,18,Engineering: Other,,53706,mushroom,No,No,early bird,No
-LEC001,19,Data Science,Sports Journalism certificate,53703,pepperoni,Yes,Yes,no preference,No
-LEC004,18,Data Science,,53706,none (just cheese),Yes,No,night owl,Yes
-LEC002,20,Statistics,"Data Science, Math",53715,mushroom,No,No,night owl,No
-LEC001,19,Engineering: Biomedical,,53706,mushroom,Yes,Yes,early bird,No
-LEC003,20,Other,Data science certificate,,sausage,Yes,Yes,no preference,Yes
-LEC003,20,Engineering: Industrial,Computer science,53719,sausage,No,No,early bird,Maybe
-LEC003,,Computer Science,Minors in Data Science and Chicano and Latino Studies,53715,macaroni/pasta,No,Yes,night owl,Yes
-LEC002,19,Computer Science,,,mushroom,Yes,No,no preference,No
-LEC002,18,Engineering: Biomedical,,,pepperoni,Yes,No,night owl,Yes
-LEC002,20,Business: Finance,Economics,53715,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Biomedical,,53706,sausage,Yes,Yes,no preference,Maybe
-LEC002,19,Engineering: Biomedical,,52706,pepperoni,Yes,Yes,early bird,No
-LEC001,19,Science: Biology/Life,,53703,basil/spinach,Yes,No,night owl,Maybe
-LEC002,19,Engineering: Mechanical,History,53706,none (just cheese),No,Yes,no preference,Yes
-LEC002,21,Computer Science,Math,53715,sausage,Yes,No,night owl,Yes
-LEC004,19,Data Science,Economics,53706,pepperoni,No,No,night owl,Yes
-LEC001,18,Engineering: Mechanical,,53715,none (just cheese),Yes,Yes,no preference,Maybe
-LEC004,18,Engineering: Biomedical,,53706,pineapple,Yes,No,night owl,Yes
-LEC003,18,Other,Sociology,53706,pineapple,Yes,No,night owl,Yes
-LEC004,18,Engineering: Biomedical,,53706,pepperoni,Yes,Yes,early bird,No
-LEC001,23,Business: Other,,53705,pineapple,No,No,no preference,No
-LEC004,18,Engineering: Biomedical,,53706,mushroom,Yes,Yes,no preference,Maybe
-LEC001,18,Data Science,,53703,pepperoni,Yes,No,night owl,No
-LEC001,19,Business: Finance,,53706,pineapple,No,No,night owl,Maybe
-LEC004,19,Science: Biology/Life,"Environmental Sciences, Conservation Biology",53715,basil/spinach,Yes,No,no preference,No
-LEC001,20,Computer Science,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC004,18,Computer Science,Data Science,53706,none (just cheese),Yes,No,early bird,Yes
-LEC003,18,Science: Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Biomedical,,53706,sausage,Yes,Yes,no preference,Yes
-LEC001,19,Computer Science,Economics,53715,sausage,Yes,No,no preference,Yes
-LEC001,21,Other,,,mushroom,No,No,night owl,Maybe
-LEC004,21,Data Science,,53703,none (just cheese),Yes,No,night owl,Yes
-LEC002,20,Data Science,,53703,pineapple,Yes,Yes,early bird,Maybe
-LEC002,18,Data Science,,53715,Other,Yes,No,early bird,No
-LEC003,19,Mathematics/AMEP,Double major math and economics,,pepperoni,Yes,Yes,night owl,No
-LEC003,18,Science: Biology/Life,,53706,none (just cheese),No,Yes,night owl,Yes
-LEC003,20,Computer Science,Computer Engineering,,pepperoni,Yes,No,night owl,Maybe
-LEC002,20,Engineering: Industrial,Maybe Data Science,53703,none (just cheese),Yes,No,night owl,Yes
-LEC003,18,Data Science,Biochemistry,53706,basil/spinach,No,Yes,no preference,Yes
-LEC003,19,Science: Other,,53706,Other,No,Yes,early bird,No
-LEC003,20,Engineering: Mechanical,,53706,pepperoni,No,No,night owl,Maybe
-LEC001,36,Other,,53705,sausage,No,No,no preference,Maybe
-LEC003,18,Data Science,,53706,pineapple,Yes,No,early bird,No
-LEC003,19,Engineering: Mechanical,,,pepperoni,Yes,No,no preference,No
-LEC004,20,Science: Biology/Life,,53703,pepperoni,Yes,No,night owl,Yes
-LEC001,22,Engineering: Biomedical,,53703,sausage,Yes,No,night owl,Yes
-LEC002,18,Business: Information Systems,,53706,macaroni/pasta,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Other,,53703,basil/spinach,Yes,Yes,no preference,Yes
-LEC002,19,Statistics,mathematics,53703,Other,No,Yes,night owl,Yes
-LEC001,20,Engineering: Biomedical,,53715,pepperoni,Yes,No,early bird,Yes
-LEC002,24,Science: Other,,53703,mushroom,Yes,No,night owl,Yes
-LEC001,20,Computer Science,Data science,53715,pepperoni,Yes,Yes,night owl,No
-LEC001,19,Mathematics/AMEP,Spanish,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,20,Data Science,,53726,sausage,Yes,No,night owl,Maybe
-LEC004,20,Other,,53713,pineapple,Yes,No,early bird,Maybe
-LEC002,23,Engineering: Other,,53705,pineapple,Yes,No,night owl,Maybe
-LEC001,21,Engineering: Mechanical,,53706,pepperoni,No,Yes,night owl,Yes
-LEC003,21,Science: Biology/Life,,53726,basil/spinach,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,No
-LEC004,19,Engineering: Other,,53706,sausage,Yes,No,night owl,Yes
-LEC001,19,Science: Physics,,53706,Other,Yes,No,night owl,Maybe
-LEC002,20,Engineering: Industrial,,53715,basil/spinach,Yes,No,night owl,Yes
-LEC003,19,Science: Biology/Life,Data sciences ,53706,pineapple,Yes,Yes,early bird,No
-LEC003,19,Other,undecided/exploring majors in science/math/tech,53706,macaroni/pasta,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53703,sausage,Yes,No,night owl,Yes
-LEC003,20,Engineering: Industrial,,53703,sausage,Yes,Yes,night owl,Yes
-LEC002,18,Other,,53706,pepperoni,Yes,No,no preference,Yes
-LEC003,19,Business: Information Systems,Management and Human Resources ,53706,none (just cheese),No,No,night owl,No
-LEC001,19,Computer Science,Computer engineering,53726,pepperoni,Yes,Yes,night owl,Yes
-LEC001,18,Business: Finance,Minor: Data Science,53703,pepperoni,Yes,No,night owl,Maybe
-LEC002,18,Engineering: Mechanical,,53706,Other,Yes,No,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53715,sausage,Yes,No,no preference,Maybe
-LEC002,19,Engineering: Biomedical,,53715,pepperoni,Yes,No,night owl,Maybe
-LEC002,22,Science: Other,,53715,sausage,Yes,Yes,night owl,Yes
-LEC001,19,Other,Education Studies,53715,mushroom,No,No,night owl,Yes
-LEC001,24,Business: Actuarial,,53713,sausage,Yes,No,night owl,Maybe
-LEC001,18,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,25,Engineering: Industrial,,53705,pineapple,No,No,night owl,Maybe
-LEC003,20,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Mechanical,business,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC002,21,Engineering: Biomedical,,53703,basil/spinach,Yes,No,night owl,Maybe
-LEC003,19,Computer Science,,53703,pepperoni,Yes,No,no preference,No
-LEC003,18,Data Science,,53703,pepperoni,Yes,Yes,early bird,No
-LEC001,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Mathematics/AMEP,,52706,mushroom,Yes,Yes,night owl,No
-LEC001,19,Data Science,,53706,macaroni/pasta,Yes,No,night owl,Maybe
-LEC003,18,Business: Other,I wasn't sure what to answer in the question above because I'm a Freshman and I'm Pre-Business.,53703,none (just cheese),Yes,No,night owl,Yes
-LEC001,21,Data Science,,53715,pepperoni,Yes,Yes,early bird,No
-LEC003,18,Computer Science,,53706-1203,Other,Yes,No,night owl,Yes
-LEC001,20,Computer Science,,53706,pepperoni,No,No,night owl,Yes
-LEC003,19,Business: Information Systems,,53706,sausage,Yes,Yes,no preference,No
-LEC001,21,Business: Actuarial,Risk Management and Insurance,53715,pineapple,Yes,No,night owl,Maybe
-LEC003,19,Science: Biology/Life,Data Science,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC004,20,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,early bird,No
-LEC002,21,Other,Economics with Math Emphasis,53703,pepperoni,Yes,No,no preference,Yes
-LEC001,20,Business: Other,Certificates in Data Science and Digital Studies,53715,sausage,Yes,Yes,early bird,Maybe
-LEC001,18,Engineering: Mechanical,,,pineapple,No,No,no preference,Yes
-LEC003,19,Computer Science,,53706,pepperoni,No,Yes,no preference,Maybe
-LEC003,18,Statistics,Data Science ,53706,pepperoni,Yes,No,night owl,No
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,26,Engineering: Other,,53705,Other,Yes,Yes,early bird,Yes
-LEC001,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53706,basil/spinach,Yes,No,night owl,Yes
-LEC001,27,Computer Science,,53703,sausage,No,No,early bird,Maybe
-LEC003,20,Engineering: Biomedical,,,mushroom,Yes,No,early bird,Yes
-LEC001,18,Statistics,,,sausage,Yes,No,night owl,Maybe
-LEC004,19,Statistics,Considering data science as my secondary field of study.,53726,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Engineering: Industrial,,,basil/spinach,Yes,Yes,night owl,Yes
-LEC001,20,Other,,53706,macaroni/pasta,Yes,Yes,night owl,Maybe
-LEC004,20,Other,,53703,sausage,Yes,Yes,night owl,Yes
-LEC001,21,Engineering: Other,,53715,pepperoni,No,No,night owl,Yes
-LEC004,20,Engineering: Mechanical,,53711,mushroom,Yes,No,night owl,Yes
-LEC003,20,Business: Information Systems,,53715,pepperoni,Yes,No,night owl,Yes
-LEC003,21,Engineering: Other,,,mushroom,Yes,No,night owl,Yes
-LEC001,24,Statistics,data science,53703,basil/spinach,Yes,No,early bird,No
-LEC003,19,Computer Science,math,53706,basil/spinach,Yes,No,early bird,Maybe
-LEC004,21,Computer Science,,53715,pepperoni,Yes,Yes,early bird,No
-LEC002,21,Mathematics/AMEP,,53715,pepperoni,Yes,No,early bird,Maybe
-LEC001,,Science: Biology/Life,,,Other,Yes,Yes,early bird,No
-LEC003,18,Engineering: Mechanical,Computer Science Certificate,53706,basil/spinach,No,Yes,early bird,No
-LEC002,18,Other,Data Science,53706,basil/spinach,Yes,No,early bird,No
-LEC003,18,Business: Information Systems,Data Science Certificate,53706,basil/spinach,Yes,Yes,early bird,No
-LEC002,19,Engineering: Industrial,,53706,sausage,Yes,No,early bird,Maybe
-LEC004,18,Engineering: Mechanical,,53706,sausage,Yes,No,night owl,Maybe
-LEC001,22,Science: Other,Mathematics,53726,pepperoni,Yes,Yes,no preference,Yes
-LEC001,18,Engineering: Industrial,,53706,mushroom,No,Yes,early bird,Yes
-LEC002,19,Engineering: Mechanical,,53706,green pepper,No,Yes,night owl,No
-LEC003,18,Statistics,mathematics,53706,mushroom,Yes,No,night owl,No
-LEC003,19,Other,,53706,pepperoni,Yes,Yes,no preference,Yes
-LEC003,20,Other,"Education, Psychology, Data Science",53715,pineapple,Yes,Yes,no preference,Yes
-LEC003,19,Statistics,,53703,pepperoni,Yes,No,early bird,Maybe
-LEC003,20,Data Science,,53703,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC004,20,Business: Actuarial,,53706,pepperoni,Yes,No,early bird,No
-LEC003,20,Data Science,,53703,mushroom,Yes,No,night owl,Yes
-LEC003,19,Mathematics/AMEP,finance,53706,sausage,No,Yes,early bird,Maybe
-LEC003,21,Other,Political Science,53703,pepperoni,Yes,No,night owl,Maybe
-LEC002,19,Engineering: Mechanical,,53706,basil/spinach,Yes,Yes,night owl,Maybe
-LEC001,19,Mathematics/AMEP,Data Science,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,18,Computer Science,Information Systems (Maybe),53706,sausage,Yes,No,early bird,Yes
-LEC001,20,Business: Actuarial,Business: Risk Management,53703,pepperoni,Yes,No,early bird,Yes
-LEC002,26,Engineering: Other,,53705,mushroom,No,No,night owl,Maybe
-LEC001,18,Business: Information Systems,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,23,Engineering: Other,Environmental Science,53703,mushroom,Yes,Yes,early bird,Maybe
-LEC003,18,Science: Biology/Life,,53706,pineapple,No,No,early bird,Yes
-LEC002,18,Engineering: Biomedical,,53706,pepperoni,Yes,No,no preference,No
-LEC001,18,Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,Data Science,53726,sausage,Yes,No,no preference,Yes
-LEC003,20,Data Science,,53715,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Biomedical,,53706,pepperoni,No,Yes,early bird,No
-LEC004,19,Business: Information Systems,,53715,none (just cheese),Yes,No,night owl,Yes
-LEC001,20,Computer Science,,53703,mushroom,Yes,Yes,early bird,Maybe
-LEC002,18,Data Science,,53703,none (just cheese),Yes,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53575,sausage,Yes,No,night owl,Maybe
-LEC004,20,Business: Other,Information Systems,53703,sausage,Yes,Yes,no preference,Maybe
-LEC003,18,Engineering: Biomedical,,53715,pineapple,Yes,No,no preference,Yes
-LEC004,19,Engineering: Mechanical,,53706,mushroom,Yes,No,early bird,Maybe
-LEC003,,Engineering: Biomedical,Certificate in French,,macaroni/pasta,Yes,Yes,night owl,No
-LEC003,21,Business: Information Systems,,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,,Data Science,,5 3706,mushroom,Yes,No,night owl,No
-LEC004,19,Engineering: Biomedical,,53715,none (just cheese),Yes,Yes,no preference,Yes
-LEC002,19,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,No
-LEC003,20,Computer Science,,53711,sausage,No,No,night owl,Maybe
-LEC004,21,Science: Biology/Life,,53711,sausage,Yes,Yes,night owl,No
-LEC003,21,Other,"Psychology, Chinese",53703,Other,Yes,Yes,night owl,Maybe
-LEC003,20,Data Science,Minor - Comp Sci,53703,basil/spinach,Yes,Yes,no preference,Yes
-LEC004,21,Science: Other,"Global Health is main major, possibly on the premed track, Data Science Certificate",53715,pineapple,Yes,Yes,early bird,No
-LEC003,20,Engineering: Mechanical,,53726,pepperoni,Yes,Yes,night owl,Yes
-LEC001,22,Science: Biology/Life,,53703,green pepper,Yes,No,night owl,Yes
-LEC002,19,Science: Biology/Life,,53703,pepperoni,Yes,No,night owl,Maybe
-LEC004,21,Engineering: Biomedical,,53715,green pepper,Yes,Yes,night owl,Maybe
-LEC002,20,Business: Finance,Real Estate,53703,pepperoni,Yes,Yes,night owl,No
-LEC004,21,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC002,19,Engineering: Industrial,"not positive on IE, maybe ME",53703,pepperoni,Yes,No,night owl,Maybe
-LEC004,18,Engineering: Biomedical,,53706,mushroom,Yes,No,early bird,No
-LEC003,19,Business: Actuarial,Data Science,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,24,Other,Life Science Communications,53703,pineapple,Yes,No,night owl,No
-LEC004,22,Engineering: Other,,53715,pepperoni,No,Yes,early bird,No
-LEC002,18,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC004,19,Data Science,business: finance,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Business: Other,"Economics, Data Science",53703,pepperoni,Yes,Yes,early bird,No
-LEC004,18,Engineering: Other,,53706,pineapple,Yes,Yes,night owl,Maybe
-LEC003,19,Engineering: Mechanical,,53706,none (just cheese),Yes,No,early bird,No
-LEC002,18,Engineering: Mechanical,,53706,Other,Yes,Yes,early bird,No
-LEC001,19,Other,,53706,green pepper,Yes,Yes,night owl,Yes
-LEC004,18,Engineering: Biomedical,,53706,basil/spinach,Yes,Yes,no preference,No
-LEC001,19,Business: Information Systems,,53726,green pepper,No,Yes,night owl,Maybe
-LEC001,18,Engineering: Biomedical,,53706,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Industrial,,53715,pepperoni,No,Yes,early bird,Yes
-LEC002,27,Business: Information Systems,,53703,mushroom,No,Yes,night owl,No
-LEC001,30,Business: Other,,57305,pineapple,Yes,No,night owl,Yes
-LEC004,18,Engineering: Biomedical,Neuroscience/pre-med,53706,none (just cheese),Yes,No,night owl,Yes
-LEC002,20,Data Science,,53703,mushroom,No,No,early bird,Yes
-LEC001,19,Data Science,,53706,Other,Yes,Yes,no preference,Maybe
-LEC001,22,Engineering: Biomedical,,53706,sausage,Yes,No,night owl,Yes
-LEC003,20,Data Science,,,mushroom,Yes,No,no preference,Maybe
-LEC003,20,Other,Economics with Math emphasis,53703,pineapple,No,No,early bird,Maybe
-LEC002,20,Computer Science,Data Science,53706,basil/spinach,Yes,No,no preference,Yes
-LEC001,24,Science: Biology/Life,,53706,mushroom,Yes,Yes,early bird,No
-LEC004,20,Business: Information Systems,Real Estate,53703,pepperoni,Yes,No,night owl,Maybe
-LEC001,20,Data Science,Economics,53703,sausage,Yes,No,no preference,Maybe
-LEC002,20,Engineering: Mechanical,,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC004,20,Engineering: Mechanical,,53715,pineapple,Yes,Yes,night owl,No
-LEC004,20,Science: Biology/Life,Data Science Certificate (maybe) ,53703,sausage,Yes,Yes,night owl,Maybe
-LEC004,18,Engineering: Mechanical,,19002,pepperoni,Yes,No,no preference,Yes
-LEC001,19,Engineering: Other,,53706,pepperoni,Yes,No,no preference,Maybe
-LEC002,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,early bird,Maybe
-LEC004,19,Computer Science,Mathematics,53706,pineapple,Yes,No,no preference,Maybe
-LEC003,18,Business: Information Systems,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Science: Physics,,53706,pineapple,Yes,Yes,night owl,Maybe
-LEC004,18,Other,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,25,Engineering: Other,"Architect, Landscape Planner",,mushroom,Yes,Yes,early bird,No
-LEC001,21,Engineering: Mechanical,Physics,53706,mushroom,No,Yes,no preference,Maybe
-LEC004,20,Other,"I major in economics, hoping to obtain a data science certificate.",53703,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Data Science,Economics,53703,none (just cheese),No,Yes,night owl,Maybe
-LEC001,21,Science: Other,,53703,mushroom,Yes,No,night owl,Yes
-LEC002,18,Data Science,,53706,pepperoni,Yes,No,night owl,No
-LEC002,24,Business: Other,,53711,sausage,Yes,No,night owl,Yes
-LEC001,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,20,Business: Actuarial,,53703,pepperoni,No,Yes,night owl,No
-LEC001,21,Data Science,Economics,53715,pineapple,Yes,No,night owl,Maybe
-LEC001,23,Other,"Marketing, Data science ",,none (just cheese),No,No,early bird,Maybe
-LEC002,22,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,No
-LEC003,18,Computer Science,,53703,sausage,Yes,No,night owl,Yes
-LEC003,19,Science: Physics,Astronomy-Physics ,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53715,pepperoni,Yes,No,early bird,No
-LEC001,18,Data Science,,53706,pepperoni,Yes,Yes,early bird,Yes
-LEC001,18,Business: Information Systems,,53706,pepperoni,No,No,night owl,Yes
-LEC002,20,Mathematics/AMEP,data and risk analysis (data science),53726,pineapple,Yes,No,night owl,Yes
-LEC001,18,Other,,53706,mushroom,Yes,No,no preference,Yes
-LEC002,20,Science: Biology/Life,Economics with Math Emphasis,53703,pepperoni,Yes,No,early bird,Yes
-LEC001,18,Data Science,,53706,none (just cheese),Yes,No,night owl,Yes
-LEC001,,Statistics,Econ,,pineapple,No,No,night owl,Maybe
-LEC003,19,Engineering: Biomedical,,53706,pineapple,Yes,No,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53706,Other,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Biomedical,,53089,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Mathematics/AMEP,,53703,sausage,No,No,no preference,Maybe
-LEC001,18,Data Science,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Data Science,,53706,pepperoni,Yes,No,early bird,Yes
-LEC003,21,Engineering: Biomedical,,53726,sausage,Yes,No,early bird,Maybe
-LEC004,22,Business: Other,,53703,green pepper,Yes,Yes,night owl,Yes
-LEC002,19,Engineering: Mechanical,computer science,53706,pineapple,Yes,Yes,night owl,Maybe
-LEC004,21,Science: Biology/Life,,53703,sausage,Yes,No,early bird,No
-LEC002,18,Engineering: Other,,53706,sausage,Yes,Yes,night owl,Maybe
-LEC001,20,Data Science,Economics,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Engineering: Industrial,,53703,pepperoni,Yes,Yes,early bird,Maybe
-LEC003,21,Computer Science,no,53703,pineapple,Yes,No,night owl,No
-LEC002,20,Engineering: Mechanical,,53706,mushroom,Yes,No,night owl,Yes
-LEC003,21,Business: Finance,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Science: Other,,53703,Other,Yes,Yes,night owl,Maybe
-LEC001,20,Engineering: Other,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Engineering: Biomedical,,53706,green pepper,Yes,Yes,early bird,No
-LEC002,19,Engineering: Mechanical,"German Certificate, Theatre Certificate",53706,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Engineering: Biomedical,,53703,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Statistics,,53715,sausage,Yes,No,night owl,Yes
-LEC001,18,Engineering: Industrial,,53706,none (just cheese),Yes,No,night owl,Maybe
-LEC004,22,Data Science,Economics,53703,pepperoni,Yes,No,night owl,Maybe
-LEC001,18,Other,,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC001,23,Other,Biological Anthropology,53705,none (just cheese),Yes,No,early bird,Yes
-LEC001,19,Engineering: Biomedical,,53706,pineapple,Yes,Yes,no preference,Maybe
-LEC004,19,Business: Actuarial,econ,53715,sausage,Yes,No,night owl,Yes
-LEC001,18,Engineering: Mechanical,,53703,macaroni/pasta,Yes,No,night owl,Yes
-LEC002,18,Business: Other,,53706,mushroom,No,No,night owl,Maybe
-LEC002,20,Other,,53703,mushroom,Yes,Yes,no preference,Yes
-LEC002,19,Business: Actuarial,,53703,Other,Yes,No,no preference,Maybe
-LEC001,21,Business: Other,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,21,Business: Other,econ with math emphasis,53715,mushroom,Yes,Yes,night owl,Maybe
-LEC004,21,Science: Biology/Life,,53703,none (just cheese),Yes,No,night owl,Maybe
-LEC004,22,Other,"Psychology, communications",53715,basil/spinach,Yes,No,night owl,Yes
-LEC003,18,Statistics,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,20,Statistics,,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,21,Data Science,,,pepperoni,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Biomedical,,,sausage,Yes,Yes,early bird,No
-LEC003,20,Statistics,,53706,sausage,Yes,No,night owl,No
-LEC002,21,Business: Other,,53703,pineapple,Yes,Yes,night owl,Maybe
-LEC001,22,Data Science,,53715,pineapple,Yes,Yes,night owl,Maybe
-LEC003,25,Computer Science,,53705,mushroom,Yes,No,night owl,Yes
-LEC004,20,Other,,53715,pepperoni,Yes,Yes,early bird,Yes
-LEC002,19,Computer Science,"ds,econ",53711,Other,Yes,No,night owl,No
-LEC002,18,Other,,53706,pepperoni,No,No,night owl,Yes
-LEC002,21,Business: Actuarial,Management,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Business: Finance,Data science,53703,pepperoni,No,No,no preference,Maybe
-LEC003,18,Engineering: Mechanical,,53703,pineapple,Yes,Yes,no preference,No
-LEC001,21,Business: Other,"Consumer Behavior & Marketplace Studies, Data Science",53703,pepperoni,Yes,No,night owl,No
-LEC002,20,Business: Finance,,53715,sausage,Yes,No,night owl,Yes
-LEC001,19,Other,Psychology,53703,pepperoni,No,Yes,night owl,Yes
-LEC003,18,Engineering: Biomedical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Business: Information Systems,,53711,sausage,Yes,No,night owl,No
-LEC003,21,Computer Science,,53715,sausage,No,Yes,early bird,Yes
-LEC004,20,Business: Other,,53703,pineapple,Yes,Yes,early bird,Yes
-LEC001,,Other,,53706,pineapple,Yes,No,no preference,Maybe
-LEC001,18,Statistics,economics,53703,pineapple,Yes,No,no preference,Yes
-LEC003,19,Business: Finance,,53706,mushroom,Yes,No,night owl,Maybe
-LEC001,18,Computer Science,Data Science,53706,mushroom,No,No,night owl,Maybe
-LEC003,20,Statistics,,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Biomedical,,,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,19,Data Science,,53715,green pepper,Yes,No,early bird,Maybe
-LEC001,19,Other,Psychology,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC003,21,Business: Finance,Economics,53703,pepperoni,Yes,No,night owl,Maybe
-LEC002,24,Engineering: Other,,53703,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Industrial,,53703,pepperoni,Yes,Yes,no preference,Maybe
-LEC002,20,Engineering: Other,"urban & regional planning, environmental engineering, data science",53706-1406,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC003,23,Engineering: Other,,53705,pepperoni,No,Yes,night owl,Yes
-LEC001,19,Science: Biology/Life,,53703,pepperoni,Yes,No,early bird,No
-LEC001,18,Data Science,,53706,basil/spinach,Yes,No,night owl,Maybe
-LEC003,19,Business: Information Systems,,53703,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC004,18,Science: Biology/Life,,53706,pepperoni,Yes,Yes,early bird,No
-LEC003,27,Science: Biology/Life,,53705,mushroom,Yes,No,early bird,Maybe
-LEC004,,Computer Science,,53715,pepperoni,Yes,No,night owl,Yes
-LEC004,20,Engineering: Biomedical,,53715,pepperoni,Yes,Yes,early bird,No
-LEC001,18,Computer Science,,53706,none (just cheese),No,Yes,night owl,Yes
-LEC004,17,Science: Biology/Life,Data science certificate,53706,pepperoni,Yes,No,no preference,Maybe
-LEC002,19,Data Science,"Econ, data science",53715,Other,Yes,No,night owl,Maybe
-LEC001,18,Computer Science,Data Science,53706,mushroom,No,No,night owl,Yes
-LEC002,18,Data Science,Economics,,pineapple,No,Yes,no preference,Yes
-LEC002,18,Engineering: Industrial,,53703-1104,sausage,Yes,No,night owl,Maybe
-LEC001,20,Business: Actuarial,Risk Management & Insurance,53703,pepperoni,Yes,No,early bird,No
-LEC001,19,Data Science,,53715,mushroom,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Mechanical,,53706-1127,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Other,,53703,Other,No,Yes,early bird,No
-LEC001,24,Science: Other,data science,53715,pepperoni,Yes,Yes,early bird,Yes
-LEC004,19,Engineering: Biomedical,,53715,green pepper,Yes,No,early bird,Yes
-LEC003,20,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,early bird,Maybe
-LEC003,21,Mathematics/AMEP,Biochemistry,53715,none (just cheese),Yes,Yes,early bird,No
-LEC003,20,Business: Other,,53706,sausage,Yes,No,night owl,Maybe
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,no preference,Yes
-LEC003,21,Engineering: Industrial,,53711,basil/spinach,No,Yes,night owl,Yes
-LEC001,20,Engineering: Industrial,,53703,pepperoni,Yes,Yes,no preference,No
-LEC003,18,Engineering: Industrial,,53706,sausage,Yes,Yes,night owl,No
-LEC003,20,Science: Biology/Life,Global Health,55416,pineapple,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Biomedical,,53706,basil/spinach,No,No,no preference,Maybe
-LEC003,19,Business: Other,,53706,sausage,Yes,No,night owl,Yes
-LEC003,18,Engineering: Industrial,,53706,green pepper,Yes,Yes,night owl,Yes
-LEC004,20,Data Science,Economics - math emphasis,53703,pepperoni,Yes,No,no preference,Yes
-LEC003,19,Business: Information Systems," Operations, Technology, Management",53715,pepperoni,Yes,No,night owl,Maybe
-LEC004,21,Engineering: Other,,53706,pineapple,No,Yes,early bird,No
-LEC003,19,Engineering: Mechanical,,53715,Other,Yes,No,early bird,No
-LEC003,20,Computer Science,Data Science,53703,none (just cheese),No,Yes,night owl,Maybe
-LEC003,18,Science: Biology/Life,Data science,53706,sausage,Yes,No,night owl,No
-LEC004,20,Engineering: Mechanical,,53715,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC002,,Business: Other,Double Business Major (Supply Chain and Business Management),53703,basil/spinach,Yes,No,night owl,Maybe
-LEC003,18,Business: Finance,,53715,none (just cheese),No,Yes,night owl,Yes
-LEC002,20,Engineering: Industrial,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC001,22,Data Science,Stat or CS,53705,basil/spinach,Yes,Yes,early bird,No
-LEC003,20,Business: Information Systems,"International Business, French",53703,basil/spinach,Yes,Yes,early bird,No
-LEC004,19,Engineering: Other,,53706,none (just cheese),Yes,Yes,night owl,Maybe
-LEC002,20,Other,ECONOMICS,53715,none (just cheese),Yes,Yes,night owl,Maybe
-LEC004,19,Engineering: Mechanical, ,53715,pepperoni,Yes,No,night owl,Maybe
-LEC004,19,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,no preference,Yes
-LEC004,20,Statistics,,53703,pepperoni,Yes,No,early bird,Yes
-LEC001,19,Business: Actuarial,RMI,53706,basil/spinach,Yes,Yes,night owl,Yes
-LEC001,20,Engineering: Biomedical,,53703,sausage,No,Yes,night owl,Yes
-LEC004,19,Engineering: Biomedical,,53706,basil/spinach,Yes,No,early bird,Yes
-LEC003,18,Data Science,,53706,none (just cheese),Yes,No,night owl,Maybe
-LEC001,21,Computer Science,,53703,Other,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53706,pepperoni,Yes,No,night owl,No
-LEC004,20,Science: Other,,53713,pineapple,Yes,Yes,night owl,Maybe
-LEC004,18,Data Science,,53706,macaroni/pasta,Yes,No,night owl,Yes
-LEC004,20,Engineering: Industrial,NA,54636,macaroni/pasta,Yes,Yes,early bird,Maybe
-LEC001,19,Computer Science,,53711,mushroom,Yes,No,night owl,Yes
-LEC004,19,Computer Science,,53711,sausage,No,No,night owl,Maybe
-LEC004,19,Engineering: Biomedical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC004,19,Engineering: Mechanical,,53711,macaroni/pasta,Yes,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53597,pepperoni,No,Yes,night owl,No
-LEC004,18,Engineering: Biomedical,,53706,sausage,Yes,Yes,night owl,Maybe
-LEC004,18,Computer Science,Data science,53706,basil/spinach,No,Yes,no preference,Maybe
-LEC004,21,Engineering: Biomedical,,53703,sausage,Yes,Yes,night owl,Yes
-LEC004,19,Business: Information Systems,Accounting,53706,mushroom,Yes,No,night owl,No
-LEC004,18,Engineering: Other,,53706,sausage,Yes,Yes,night owl,Yes
-LEC004,20,Data Science,,53715,Other,Yes,No,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,mushroom,Yes,Yes,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,macaroni/pasta,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Biomedical,,53706,Other,No,No,night owl,Maybe
-LEC004,19,Business: Finance,Industrial Engineering,53706,sausage,Yes,No,night owl,Maybe
-LEC001,18,Business: Other,Main one is economics and data science,53706,pepperoni,No,No,no preference,Maybe
-LEC004,18,Engineering: Industrial,,83001,sausage,Yes,Yes,night owl,Yes
-LEC004,20,Engineering: Biomedical,,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC004,18,Engineering: Mechanical,,53706,none (just cheese),No,No,night owl,Yes
-LEC004,20,Other,,53715,sausage,No,No,night owl,Maybe
-LEC004,19,Business: Information Systems,Business: Supply Chain Management,53703,pepperoni,Yes,No,no preference,Maybe
-LEC004,20,Other,,53703,basil/spinach,Yes,No,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,27,Computer Science,,53711,mushroom,Yes,Yes,no preference,Yes
-LEC004,19,Business: Actuarial,,53706-1188,sausage,Yes,No,no preference,Yes
-LEC004,21,Other,,53703,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Business: Other,,53703,pepperoni,Yes,No,no preference,Maybe
-LEC004,18,Business: Finance,Data Science,53706,basil/spinach,Yes,No,night owl,Yes
-LEC004,18,Science: Physics,,53706,mushroom,Yes,No,night owl,Yes
-LEC002,19,Mathematics/AMEP,Actuarial Science,53706,sausage,Yes,Yes,night owl,Yes
-LEC004,19,Business: Finance,data science,53706,pepperoni,Yes,Yes,no preference,Maybe
-LEC002,19,Data Science,"Electrical engineering, physics",53703,none (just cheese),Yes,No,night owl,Yes
-LEC004,21,Engineering: Biomedical,History Certificate ,53715,green pepper,Yes,No,no preference,Maybe
-LEC001,19,Business: Finance,,53703,sausage,Yes,Yes,night owl,Maybe
-LEC001,18,Business: Finance,,53703,pepperoni,Yes,No,night owl,Yes
-LEC004,21,Engineering: Mechanical,Mechanical Engineering ,53703,green pepper,No,No,no preference,No
-LEC004,19,Business: Information Systems,,53706,pepperoni,Yes,Yes,no preference,Maybe
-LEC002,18,Computer Science,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC001,21,Computer Science,,43706,mushroom,Yes,Yes,no preference,Yes
-LEC002,20,Business: Finance,Data Science,53703,pepperoni,No,Yes,no preference,No
-LEC002,20,Engineering: Biomedical,,53703,pineapple,Yes,Yes,early bird,Maybe
-LEC001,19,Business: Actuarial,risk management and insurance,53711,pepperoni,No,No,night owl,Yes
-LEC002,21,Other,"Linguistics, Communication Sciences and Disorders",53715,green pepper,Yes,Yes,night owl,No
-LEC001,19,Engineering: Mechanical,,53706,none (just cheese),Yes,Yes,night owl,Yes
-LEC002,18,Engineering: Mechanical,,53706,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC001,19,Data Science,,53703,pineapple,Yes,No,night owl,Yes
-LEC001,18,Science: Biology/Life,"Either stats, data science, or math (undecided)",53706,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC001,19,Data Science,Mathematics,53703,green pepper,Yes,Yes,night owl,Maybe
-LEC001,23,Business: Other,,53711,pineapple,Yes,No,night owl,Maybe
-LEC001,20,Data Science,economics,53703,none (just cheese),Yes,No,early bird,Yes
-LEC001,18,Computer Science,Planning on Data Sci but unsure,53708,macaroni/pasta,Yes,No,night owl,Yes
-LEC002,18,Science: Other,,53706,pepperoni,Yes,No,early bird,Maybe
-LEC001,18,Computer Science,,53706,green pepper,Yes,Yes,night owl,Yes
-LEC001,19,Statistics,,53703,pineapple,Yes,No,night owl,No
-LEC001,20,Computer Science,Data Science,53703,pepperoni,Yes,Yes,no preference,Yes
-LEC001,19,Business: Information Systems,,53706,basil/spinach,Yes,No,night owl,Yes
-LEC001,19,Data Science,,53703,pineapple,No,Yes,night owl,Maybe
-LEC001,18,Engineering: Mechanical,,53706,macaroni/pasta,Yes,Yes,night owl,No
-LEC001,18,Data Science,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Engineering: Industrial,Data Science,53706,green pepper,Yes,No,night owl,Yes
-LEC004,21,Other,,53726,sausage,Yes,No,night owl,Yes
-LEC001,19,Engineering: Mechanical,,53704,sausage,Yes,No,no preference,Yes
-LEC001,18,Computer Science,Data Science,53706,pepperoni,No,Yes,no preference,No
-LEC001,19,Other,,53705,pepperoni,No,No,night owl,Yes
-LEC001,21,Computer Science,data science,53706,pineapple,No,No,night owl,Yes
-LEC001,19,Statistics,,53703,sausage,Yes,No,night owl,Maybe
-LEC001,19,Science: Chemistry,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Other,legal study,53705,sausage,Yes,No,no preference,Maybe
-LEC001,19,Statistics,biochemistry,53703,pineapple,Yes,No,no preference,Yes
-LEC001,22,Engineering: Biomedical,,,basil/spinach,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53706,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53711,sausage,Yes,No,no preference,Yes
-LEC001,19,Engineering: Mechanical,,53703,none (just cheese),Yes,Yes,night owl,Yes
-LEC001,21,Computer Science,Computer Engineering,53703,sausage,No,No,night owl,Yes
-LEC003,20,Engineering: Mechanical,,53703,sausage,No,No,night owl,No
-LEC001,21,Computer Science,Electrical Engineering,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,Business,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,18,Other,,53706,none (just cheese),Yes,No,night owl,Yes
-LEC001,18,Science: Biology/Life,"Data Science Minor, French",53706,pineapple,Yes,No,night owl,Yes
-LEC001,21,Other,,53703,mushroom,Yes,Yes,early bird,Yes
-LEC001,22,Computer Science,DS,53711,Other,Yes,No,no preference,Maybe
-LEC003,19,Other,,53703,pepperoni,No,No,no preference,Yes
-LEC001,19,Data Science,,53706,Other,No,Yes,early bird,Yes
-LEC002,18,Engineering: Mechanical,Minor in Business ,53706,sausage,Yes,No,no preference,Yes
-LEC001,21,Engineering: Other,Civil Engineering,53715,Other,No,Yes,no preference,Yes
-LEC002,19,Statistics,Economics,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,20,Business: Actuarial,,53703,sausage,Yes,No,night owl,No
-LEC001,24,Business: Other,,53703,green pepper,No,No,early bird,Maybe
-LEC004,18,Engineering: Biomedical,,53706,sausage,Yes,No,no preference,No
-LEC001,23,Other,,53703,pineapple,Yes,No,night owl,Yes
-LEC003,19,Statistics,,53706,none (just cheese),Yes,Yes,early bird,Yes
-LEC002,18,Other,,53706,basil/spinach,Yes,No,night owl,Yes
-LEC001,20,Statistics,,53703,mushroom,Yes,Yes,night owl,Yes
-LEC004,18,Computer Science,Data Science,,none (just cheese),Yes,Yes,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,Other,Yes,No,no preference,Yes
-LEC002,22,Science: Biology/Life,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,,Computer Science,Possibly Data Science (Definitely a Certificate),53706,Other,No,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53562,pepperoni,Yes,Yes,night owl,Yes
-LEC002,19,Other,Data Science,53715,green pepper,Yes,Yes,no preference,Yes
-LEC003,18,Statistics,,53706,Other,No,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53715,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC002,21,Business: Other,,53703,mushroom,No,No,no preference,Yes
-LEC003,19,Business: Information Systems,,53711,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Business: Actuarial,,53706,sausage,No,No,night owl,Yes
-LEC002,21,Data Science,,53703,sausage,Yes,Yes,night owl,Yes
-LEC001,23,Data Science,,53705,mushroom,Yes,No,night owl,Yes
-LEC002,20,Computer Science,Data Science,53726,pineapple,Yes,Yes,night owl,Maybe
-LEC003,18,Engineering: Industrial,,53706,pepperoni,Yes,No,night owl,Yes
-LEC002,27,Data Science,,53705,basil/spinach,Yes,No,night owl,Yes
-LEC002,18,Computer Science,Data Science,53706,mushroom,Yes,No,early bird,Yes
-LEC001,22,Data Science,,53706,sausage,Yes,No,night owl,Yes
-LEC002,20,Computer Science,,53715,pepperoni,No,Yes,night owl,Yes
-LEC002,21,Data Science,,53703,macaroni/pasta,No,No,night owl,No
-LEC002,20,Computer Science,,,mushroom,Yes,No,early bird,Maybe
-LEC001,19,Computer Science,prolly data science,92376,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC002,19,Engineering: Mechanical,,,none (just cheese),Yes,No,night owl,Yes
-LEC002,19,Data Science,,53717,none (just cheese),Yes,No,night owl,Yes
-LEC002,22,Science: Other,,53715,green pepper,Yes,Yes,early bird,Yes
-LEC002,19,Engineering: Biomedical,,53706,sausage,Yes,No,early bird,No
-LEC002,20,Business: Finance,,53703,pepperoni,Yes,No,early bird,No
-LEC002,18,Business: Actuarial,,53706,pepperoni,Yes,No,early bird,No
-LEC002,19,Engineering: Mechanical,,53706,Other,Yes,No,night owl,Yes
-LEC002,20,Data Science,economics,internation student,mushroom,Yes,Yes,early bird,Maybe
-LEC003,19,Engineering: Mechanical,,,Other,No,No,night owl,Yes
-LEC002,19,Engineering: Industrial,,53703,sausage,No,Yes,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53701,pepperoni,Yes,Yes,no preference,Yes
-LEC002,22,Computer Science,,53703,sausage,Yes,No,night owl,Yes
-LEC001,19,Engineering: Industrial,,53715,pepperoni,Yes,No,no preference,Maybe
-LEC002,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,23,Mathematics/AMEP,,53719,sausage,No,Yes,early bird,Yes
-LEC002,18,Engineering: Industrial,,53706,pineapple,No,Yes,no preference,Maybe
-LEC002,20,Other,Communication Arts,53711,sausage,Yes,Yes,no preference,Maybe
-LEC002,21,Business: Information Systems,Finance ,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,21,Science: Physics,Astrophysics,,macaroni/pasta,Yes,No,no preference,Maybe
-LEC002,21,Science: Biology/Life,,53703,green pepper,Yes,No,early bird,Maybe
-LEC003,21,Engineering: Other,,53706,none (just cheese),Yes,No,early bird,Maybe
-LEC002,19,Data Science,Economics,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Data Science,,53706,none (just cheese),No,Yes,night owl,Yes
-LEC001,20,Statistics,"economics, social science",53715,pepperoni,No,No,no preference,Yes
-LEC004,19,Business: Other,"Information systems, Data science",53706,sausage,Yes,Yes,night owl,Yes
-LEC004,18,Computer Science,,53706,basil/spinach,Yes,No,no preference,Yes
-LEC003,18,Computer Science,,53703,pepperoni,Yes,No,night owl,Yes
-LEC003,,Mathematics/AMEP,,,mushroom,No,Yes,night owl,Yes
-LEC004,19,Data Science,,53706,mushroom,Yes,No,night owl,Yes
-LEC001,19,Science: Chemistry,Data Science,53706,sausage,Yes,No,night owl,No
-LEC002,19,Mathematics/AMEP,,53703,Other,No,No,night owl,Yes
-LEC003,18,Other,,53703,pineapple,No,No,early bird,No
-LEC004,19,Engineering: Mechanical,,53703,pepperoni,Yes,No,early bird,Yes
-LEC003,19,Statistics,thinking about a data science certificate or switching major to data science,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Other,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC003,18,Statistics,data science,53706,pineapple,No,No,night owl,Maybe
-LEC003,21,Computer Science,,53705,mushroom,Yes,No,night owl,Maybe
-LEC002,21,Other,Data Science,53705,sausage,Yes,No,night owl,Yes
-LEC003,20,Science: Biology/Life,,53703,pineapple,No,No,early bird,Maybe
-LEC003,18,Other,,53715,pepperoni,Yes,No,early bird,No
-LEC004,18,Engineering: Biomedical,,53706,pepperoni,Yes,Yes,early bird,Yes
-LEC001,21,Computer Science,,53715,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,21,Science: Other,Data Science,53711,mushroom,Yes,Yes,night owl,Yes
-LEC004,19,Engineering: Mechanical,,,sausage,No,No,early bird,No
-LEC002,20,Engineering: Industrial,,53715,mushroom,No,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,no preference,No
-LEC002,22,Science: Physics,,53703,sausage,Yes,No,night owl,Yes
-LEC004,19,Engineering: Other,,53706,sausage,Yes,Yes,no preference,Maybe
-LEC001,19,Engineering: Biomedical,,53711,macaroni/pasta,Yes,No,night owl,Yes
-LEC001,23,Data Science,,53703,mushroom,Yes,Yes,night owl,Maybe
-LEC001,20,Engineering: Industrial,,53703,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Science: Other,,53706,pineapple,Yes,Yes,night owl,Yes
-LEC003,25,Computer Science,,53713,sausage,Yes,No,night owl,Yes
-LEC001,31,Data Science,,53575,sausage,Yes,Yes,early bird,Maybe
-LEC001,19,Data Science,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC002,21,Computer Science,,53703,pepperoni,Yes,No,night owl,Yes
-LEC003,20,Business: Actuarial,Risk Management and Insurance,53715,pepperoni,Yes,No,night owl,No
-LEC004,19,Data Science,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC001,19,Computer Science,,53706,mushroom,Yes,No,early bird,Maybe
-LEC001,19,Mathematics/AMEP,,,pepperoni,Yes,No,night owl,Maybe
-LEC001,19,Engineering: Mechanical,,53705,sausage,Yes,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53706,pineapple,Yes,No,night owl,Yes
-LEC002,19,Science: Physics,,53706,Other,Yes,No,no preference,Yes
-LEC001,21,Computer Science,Data science,53703,basil/spinach,No,Yes,night owl,No
-LEC003,19,Mathematics/AMEP,data science,53706,sausage,Yes,No,night owl,Yes
-LEC002,18,Science: Biology/Life,data science certificate,53706,pineapple,Yes,Yes,night owl,Yes
-LEC004,18,Statistics,,53706,sausage,No,Yes,night owl,Yes
-LEC003,21,Engineering: Industrial,,53562,pepperoni,Yes,No,night owl,Maybe
-LEC001,20,Engineering: Mechanical,,53715,green pepper,Yes,No,early bird,Yes
-LEC003,19,Engineering: Mechanical,,,pineapple,No,No,early bird,No
-LEC003,20,Statistics,,53703,mushroom,Yes,Yes,no preference,No
-LEC002,18,Engineering: Mechanical,"Industrial, Buisness",53701,pepperoni,No,No,night owl,Maybe
-LEC001,18,Other,Legal Studies,53706,mushroom,No,No,night owl,Yes
-LEC001,20,Data Science,,53703,none (just cheese),Yes,Yes,night owl,Yes
-LEC001,21,Other,,53703,Other,Yes,Yes,no preference,Maybe
-LEC001,22,Engineering: Biomedical,pre-med,53715,none (just cheese),Yes,Yes,no preference,Yes
-LEC003,20,Other,"Philosophy, Data Science Certificate, Pre-Med",53703,basil/spinach,No,Yes,early bird,Yes
-LEC001,21,Business: Finance,Economics,53703,basil/spinach,Yes,No,night owl,Yes
-LEC003,19,Statistics,,53705,none (just cheese),Yes,Yes,no preference,Yes
-LEC001,18,Engineering: Industrial,,53703,sausage,Yes,Yes,night owl,Yes
-LEC003,21,Science: Biology/Life,My majors are Environmental Science and Spanish,53703,macaroni/pasta,Yes,No,night owl,Maybe
-LEC001,18,Other,,,pepperoni,Yes,No,no preference,Yes
-LEC004,23,Science: Physics,Astronomy,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC002,21,Computer Science,,53711,sausage,Yes,No,night owl,Maybe
-LEC002,18,Engineering: Mechanical,,53706,sausage,Yes,Yes,early bird,Yes
-LEC003,19,Engineering: Other,Environmental Science,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Science: Other,Life science communications,53706,Other,Yes,No,night owl,Maybe
-LEC004,21,Engineering: Mechanical,,53703,sausage,Yes,Yes,no preference,No
-LEC001,20,Computer Science,,53703,pineapple,Yes,No,night owl,Yes
-LEC001,20,Other,,53703,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC001,22,Other,"psychology, legal studies, certificate in criminal justice ",53711,sausage,Yes,No,night owl,Maybe
-LEC002,21,Data Science,,53711,none (just cheese),Yes,No,night owl,Yes
-LEC003,21,Other,,53703,mushroom,Yes,No,early bird,Yes
-LEC002,20,Engineering: Industrial,,53703,pineapple,Yes,Yes,early bird,Yes
-LEC001,19,Computer Science,data science,53706,pineapple,No,No,night owl,No
-LEC003,19,Statistics,Data Science,53703,pineapple,No,No,night owl,Maybe
-LEC001,20,Computer Science,,53726,none (just cheese),Yes,No,night owl,Yes
-LEC002,,Computer Science,,,pepperoni,Yes,No,night owl,Maybe
-LEC001,18,Computer Science,,53706,pineapple,No,No,no preference,Maybe
-LEC001,19,Computer Science,data science,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Other,Undecided in STEM,53706,pepperoni,No,No,night owl,No
-LEC001,18,Computer Science,data science,53590,Other,No,No,night owl,Yes
-LEC004,18,Other,,53706,Other,Yes,No,night owl,Maybe
-LEC003,19,Data Science,,53706,basil/spinach,Yes,No,no preference,Maybe
-LEC001,19,Business: Finance,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53704,basil/spinach,No,No,no preference,Yes
-LEC004,18,Engineering: Other,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC002,18,Computer Science,,,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC003,20,Engineering: Biomedical,,53715,none (just cheese),Yes,Yes,no preference,Maybe
-LEC001,18,Other,,52816,none (just cheese),Yes,No,night owl,Yes
-LEC002,18,Engineering: Mechanical,Computes Science Certificate Potentially,53706,sausage,Yes,Yes,night owl,Yes
-LEC002,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,no preference,No
-LEC003,20,Business: Finance,Business: Risk Management ,53703,sausage,Yes,Yes,night owl,Yes
-LEC001,19,Science: Chemistry,,53706,pineapple,Yes,No,night owl,Yes
-LEC001,20,Engineering: Mechanical,,59301,pepperoni,Yes,Yes,no preference,Maybe
-LEC001,22,Mathematics/AMEP,Economics ,53715,basil/spinach,Yes,Yes,early bird,No
-LEC001,22,Other,,53703,green pepper,Yes,Yes,night owl,Yes
-LEC001,19,Engineering: Other,,53715,none (just cheese),Yes,Yes,night owl,No
-LEC002,18,Engineering: Mechanical,,53706,sausage,Yes,Yes,night owl,Yes
-LEC001,23,Engineering: Other,,53711,green pepper,Yes,Yes,no preference,Maybe
-LEC001,18,Science: Chemistry,,53706,sausage,Yes,Yes,night owl,No
-LEC001,23,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,19,Data Science,Economics,53706,macaroni/pasta,No,No,early bird,Yes
-LEC001,20,Engineering: Industrial,"Science: Other, Economics",53703,sausage,Yes,Yes,early bird,No
-LEC003,21,Data Science,"Economics, Social Science",53703,sausage,Yes,Yes,no preference,Maybe
-LEC002,18,Data Science,,10306,none (just cheese),Yes,No,night owl,Maybe
-LEC002,20,Mathematics/AMEP,Environmental Sciences,53715,pepperoni,No,No,night owl,Maybe
-LEC002,18,Statistics,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,21,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC002,20,Engineering: Biomedical,,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Data Science,,53703,pineapple,Yes,No,no preference,Yes
-LEC001,21,Engineering: Other,,53715,mushroom,No,No,early bird,Maybe
-LEC003,18,Data Science,possibly Statistics / Math,53706,mushroom,Yes,No,night owl,Yes
-LEC002,,Business: Other,,,pepperoni,Yes,No,early bird,No
-LEC002,19,Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Engineering: Other,,53706,pineapple,Yes,No,night owl,Maybe
-LEC003,19,Computer Science,data science I havent decided on a major yet but it might be either one of these,53726,none (just cheese),No,No,night owl,Maybe
-LEC003,20,Business: Finance,,53703,Other,Yes,No,night owl,Yes
-LEC001,21,Science: Other,,53703,sausage,No,No,night owl,Yes
-LEC001,20,Other,,53703,pepperoni,No,No,night owl,Yes
-LEC004,20,Engineering: Other,,53703,none (just cheese),Yes,No,night owl,Yes
-LEC001,21,Business: Information Systems,,53703,Other,Yes,Yes,no preference,No
-LEC003,21,Mathematics/AMEP,,,mushroom,No,No,night owl,Yes
-LEC001,18,Other,,53703,mushroom,Yes,No,night owl,Yes
-LEC003,19,Business: Actuarial,,53175,sausage,Yes,Yes,early bird,Yes
-LEC003,20,Engineering: Mechanical,Naval Architecture & Marnie Engineering (self-tutored),53711,green pepper,Yes,No,night owl,Maybe
-LEC002,20,Business: Other,,53703,pineapple,Yes,No,night owl,Maybe
-LEC003,20,Data Science,"computer science, stats ",53711,pineapple,Yes,No,early bird,Yes
-LEC004,19,Statistics,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Engineering: Industrial,Data science ,53715,pepperoni,No,Yes,early bird,Maybe
-LEC004,20,Other,"Economics, Data Science",53715,mushroom,Yes,No,no preference,Maybe
-LEC001,19,Engineering: Mechanical,,53706,sausage,Yes,Yes,night owl,Yes
-LEC002,21,Engineering: Mechanical,Spanish,53719,none (just cheese),Yes,Yes,night owl,Maybe
-LEC001,24,Engineering: Industrial,Business,53726,mushroom,Yes,No,night owl,Maybe
-LEC002,20,Other,NA,53703,basil/spinach,Yes,Yes,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,sausage,Yes,Yes,early bird,Yes
-LEC001,19,Other,"Data Science Certificate, Economics",53703,sausage,No,Yes,night owl,Yes
-LEC001,18,Engineering: Mechanical,,53706,pepperoni,No,No,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC004,19,Engineering: Biomedical,,53706,none (just cheese),Yes,No,no preference,Yes
-LEC001,20,Computer Science,,53715,sausage,Yes,No,night owl,Yes
-LEC001,17,Engineering: Mechanical,,53706,pineapple,Yes,No,night owl,Yes
-LEC002,20,Data Science,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53715,pineapple,No,No,night owl,Maybe
-LEC003,19,Engineering: Biomedical,,53703,none (just cheese),Yes,Yes,night owl,Yes
-LEC003,20,Other,Data Science,53715,mushroom,Yes,Yes,early bird,Maybe
-LEC003,19,Mathematics/AMEP,,53705,pineapple,No,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,chemical engineering,53711,green pepper,Yes,No,night owl,Maybe
-LEC003,21,Computer Science,Data Science,53715,mushroom,No,No,night owl,Maybe
-LEC003,19,Data Science,,53590,pepperoni,No,No,no preference,Yes
-LEC001,20,Computer Science,,,pepperoni,Yes,No,early bird,Yes
-LEC001,20,Data Science,"Biology, Bioinformatics",53703,sausage,Yes,No,no preference,Yes
-LEC002,21,Engineering: Mechanical,,53705,none (just cheese),Yes,No,no preference,Maybe
-LEC001,19,Computer Science,Data Science,53706,Other,No,Yes,night owl,No
-LEC001,20,Business: Finance,Data Science,53715,sausage,Yes,Yes,night owl,Yes
-LEC001,19,Data Science,Computer science,53706,pineapple,No,Yes,no preference,Yes
-LEC002,23,Science: Other,Computer Science,53711,pineapple,Yes,Yes,early bird,No
-LEC003,18,Engineering: Mechanical,,53706,sausage,No,No,night owl,No
-LEC001,19,Computer Science,Data Science,53703,Other,No,No,no preference,Maybe
-LEC001,19,Science: Other,,53706,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,19,Other,I do not have a secondary major but my major is International Studies. ,53076,pepperoni,Yes,Yes,early bird,Yes
-LEC001,21,Science: Biology/Life,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Engineering: Mechanical,,53726,pepperoni,Yes,No,night owl,Yes
-LEC002,20,Engineering: Industrial,,53715,pepperoni,Yes,No,no preference,Yes
-LEC003,20,Science: Biology/Life,Life Science Communication,53703,pepperoni,Yes,No,early bird,Maybe
-LEC002,19,Science: Biology/Life,Data Science,,pepperoni,No,No,no preference,Maybe
-LEC002,22,Computer Science,,53703,sausage,Yes,No,night owl,Yes
-LEC001,20,Business: Information Systems,,53706,mushroom,Yes,No,night owl,Yes
-LEC001,19,Business: Other,,53706,pepperoni,Yes,No,early bird,Yes
-LEC001,21,Other,"Economics/Philosophy, Data Science Certificate",53703,pepperoni,Yes,No,no preference,Yes
-LEC003,19,Computer Science,Data science,53706,pineapple,Yes,Yes,night owl,Yes
\ No newline at end of file
diff --git a/f22/andy_lec_notes/lec_15/lec15_csvfiles_850.ipynb b/f22/andy_lec_notes/lec_15/lec15_csvfiles_850.ipynb
deleted file mode 100644
index 1603c11b9baf3d7571c0b7393621bf49fc465b24..0000000000000000000000000000000000000000
--- a/f22/andy_lec_notes/lec_15/lec15_csvfiles_850.ipynb
+++ /dev/null
@@ -1,15671 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2\n"
- ]
- }
- ],
- "source": [
- "# Warmup #1: Take a look at these list methods \n",
- "# https://www.w3schools.com/python/python_ref_list.asp\n",
- "dairy = [\"cottage cheese\" , \"milk\", \"ice cream\", \"cheese\", \"yogurt\" ]\n",
- "\n",
- "#use the .index() method to get the index of \"ice cream\"\n",
- "print(dairy.index(\"ice cream\"))\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "peanut butter is not dairy\n",
- "milk is dairy\n",
- "bread is not dairy\n",
- "cheese is dairy\n",
- "YOGURT is not dairy\n",
- "cookies is not dairy\n"
- ]
- }
- ],
- "source": [
- "# Warmup #2: Because a list is a sequence, we can use the 'in' operator\n",
- "food_shelf = [\"peanut butter\", \"milk\", \"bread\", \"cheese\", \"YOGURT\", \"cookies\"]\n",
- "for item in food_shelf:\n",
- " if item in dairy:\n",
- " print(item, \"is dairy\")\n",
- " else:\n",
- " print(item, \"is not dairy\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #3: finish Monday's lecture problems\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #4: Open cs220_survey_data.csv from your Desktop\n",
- "# Take notes here\n",
- "\n",
- "# Look at the slides for today"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# CS220: Lecture 15\n",
- "\n",
- "\n",
- "## Learning Objectives\n",
- "After this lecture you will be able to...\n",
- "- Open an Excel file and export it to a Comma Separated Value file.\n",
- "\n",
- "- Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet.\n",
- "\n",
- "- Use pre-written Python code to read a CSV file into a list of lists.\n",
- "\n",
- "- Write Python statements with double list indexing to access any element of a CSV file via a list of lists.\n",
- "\n",
- "- Write code that answers questions about CSV data by writing for loops on lists of lists.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What do you notice? Take notes here\n",
- "# "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Use pre-written Python code to read a CSV file into a list of lists."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [],
- "source": [
- "\n",
- "\n",
- "# copied from https://automatetheboringstuff.com/chapter14/\n",
- "import csv\n",
- "\n",
- "def process_csv(filename):\n",
- " # open the file, its a text file utf-8\n",
- " exampleFile = open(filename, encoding=\"utf-8\") \n",
- " \n",
- " # prepare it for reading as a CSV object\n",
- " exampleReader = csv.reader(exampleFile) \n",
- " \n",
- " # use the built-in list function to convert this into a list of lists\n",
- " exampleData = list(exampleReader) \n",
- " \n",
- " # close the file to tidy up our workspace\n",
- " exampleFile.close() \n",
- " \n",
- " # return the list of lists\n",
- " return exampleData\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "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'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53711',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Science: Physics',\n",
- " 'Astronomy-Physics, History',\n",
- " '53726',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Science: Chemistry',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics ',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Statistics',\n",
- " '',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'No'],\n",
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- " '18',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53706',\n",
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- " 'No',\n",
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- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Stats',\n",
- " '53715',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Business: Finance',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
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- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Other',\n",
- " 'I am undecided – thinking about Data Science Major',\n",
- " '53706',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Statistics',\n",
- " 'psychology',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '20',\n",
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- " 'Mathematics ',\n",
- " '53726',\n",
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- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
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- " 'Yes',\n",
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- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Science: Physics',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Economics',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " 'nuclear engineering',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Science: Chemistry',\n",
- " '',\n",
- " '',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'No',\n",
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- " '',\n",
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- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '18',\n",
- " 'Languages',\n",
- " 'Linguistics',\n",
- " '53706',\n",
- " 'macaroni/pasta',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '18',\n",
- " 'Other',\n",
- " '',\n",
- " '53706',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '',\n",
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- " '53703',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
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- " 'early bird',\n",
- " 'No'],\n",
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- " '28',\n",
- " 'Science: Other',\n",
- " '',\n",
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- " 'Yes',\n",
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- " '',\n",
- " '53715',\n",
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- " 'Yes',\n",
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- " 'Yes'],\n",
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- " '19',\n",
- " 'Science: Physics',\n",
- " 'Life Science Communication',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
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- " ['LEC003',\n",
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- " 'pre-medicine',\n",
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- " '',\n",
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- " '',\n",
- " '53711',\n",
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- " '',\n",
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- " 'Yes',\n",
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- " '',\n",
- " '53706',\n",
- " 'macaroni/pasta',\n",
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- " '53706',\n",
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- " 'Yes',\n",
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- " 'Business: Actuarial',\n",
- " 'Data Science and Analytics',\n",
- " '53706',\n",
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- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Science: Chemistry',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '23',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Economics',\n",
- " '53706',\n",
- " 'macaroni/pasta',\n",
- " 'No',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Engineering: Industrial',\n",
- " 'Science: Other, Economics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Data Science',\n",
- " 'Economics, Social Science',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '18',\n",
- " 'Data Science',\n",
- " '',\n",
- " '10306',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Mathematics/AMEP',\n",
- " 'Environmental Sciences',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '18',\n",
- " 'Statistics',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53703',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Data Science',\n",
- " 'possibly Statistics / Math',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '',\n",
- " 'Business: Other',\n",
- " '',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'data science I havent decided on a major yet but it might be either one of these',\n",
- " '53726',\n",
- " 'none (just cheese)',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Business: Finance',\n",
- " '',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Other',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Business: Information Systems',\n",
- " '',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Other',\n",
- " '',\n",
- " '53703',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Business: Actuarial',\n",
- " '',\n",
- " '53175',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Engineering: Mechanical',\n",
- " 'Naval Architecture & Marnie Engineering (self-tutored)',\n",
- " '53711',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Business: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Data Science',\n",
- " 'computer science, stats ',\n",
- " '53711',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Statistics',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Industrial',\n",
- " 'Data science ',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics, Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " 'Spanish',\n",
- " '53719',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '24',\n",
- " 'Engineering: Industrial',\n",
- " 'Business',\n",
- " '53726',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Other',\n",
- " 'NA',\n",
- " '53703',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Other',\n",
- " 'Data Science Certificate, Economics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53706',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '17',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53715',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53705',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " 'chemical engineering',\n",
- " '53711',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53590',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Data Science',\n",
- " 'Biology, Bioinformatics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53705',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Finance',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Computer science',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '23',\n",
- " 'Science: Other',\n",
- " 'Computer Science',\n",
- " '53711',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'macaroni/pasta',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Other',\n",
- " 'I do not have a secondary major but my major is International Studies. ',\n",
- " '53076',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Science: Biology/Life',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53726',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Engineering: Industrial',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Science: Biology/Life',\n",
- " 'Life Science Communication',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Science: Biology/Life',\n",
- " 'Data Science',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '22',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Information Systems',\n",
- " '',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['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": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Call the process_csv function and store the list of lists in cs220_csv\n",
- "cs220_csv = process_csv('cs220_survey_data.csv')\n",
- "cs220_csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "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": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Store the header row into cs220_header\n",
- "cs220_header = cs220_csv[0]\n",
- "cs220_header"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "[['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53711',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Science: Physics',\n",
- " 'Astronomy-Physics, History',\n",
- " '53726',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Science: Chemistry',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics ',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Statistics',\n",
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- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53703',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Data Science',\n",
- " 'possibly Statistics / Math',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '',\n",
- " 'Business: Other',\n",
- " '',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'data science I havent decided on a major yet but it might be either one of these',\n",
- " '53726',\n",
- " 'none (just cheese)',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Business: Finance',\n",
- " '',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Other',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Business: Information Systems',\n",
- " '',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Other',\n",
- " '',\n",
- " '53703',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Business: Actuarial',\n",
- " '',\n",
- " '53175',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Engineering: Mechanical',\n",
- " 'Naval Architecture & Marnie Engineering (self-tutored)',\n",
- " '53711',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Business: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Data Science',\n",
- " 'computer science, stats ',\n",
- " '53711',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Statistics',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Industrial',\n",
- " 'Data science ',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics, Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " 'Spanish',\n",
- " '53719',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '24',\n",
- " 'Engineering: Industrial',\n",
- " 'Business',\n",
- " '53726',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Other',\n",
- " 'NA',\n",
- " '53703',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Other',\n",
- " 'Data Science Certificate, Economics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53706',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '17',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53715',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53705',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " 'chemical engineering',\n",
- " '53711',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53590',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Data Science',\n",
- " 'Biology, Bioinformatics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53705',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Finance',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Computer science',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '23',\n",
- " 'Science: Other',\n",
- " 'Computer Science',\n",
- " '53711',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'macaroni/pasta',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Other',\n",
- " 'I do not have a secondary major but my major is International Studies. ',\n",
- " '53076',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Science: Biology/Life',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53726',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Engineering: Industrial',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Science: Biology/Life',\n",
- " 'Life Science Communication',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Science: Biology/Life',\n",
- " 'Data Science',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '22',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Information Systems',\n",
- " '',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['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": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Store all of the data rows into cs220_data\n",
- "cs220_data = cs220_csv[1:]\n",
- "cs220_data"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## CSVs as a List of Lists"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "720"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Determine how many students completed the survey.\n",
- "len(cs220_data)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53711',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe']"
- ]
- },
- "execution_count": 12,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# show the entire 1st row of data\n",
- "cs220_data[0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'night owl'"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Find the sleeping habit for the 2nd student...by hardcoding its row and column....\n",
- "cs220_data[1][8]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'LEC004'"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Find the lecture number of the 4th student...by hardcoding its row and column....\n",
- "cs220_data[3][0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Physics\n",
- "early bird\t\tScience: Chemistry\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tData Science\n",
- "early bird\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tMathematics/AMEP\n",
- "early bird\t\tScience: Physics\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tScience: Chemistry\n",
- "no preference\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tLanguages\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tScience: Physics\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tScience: Physics\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Other\n",
- "no preference\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tOther\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "early bird\t\tData Science\n",
- "early bird\t\tData Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tOther\n",
- "early bird\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tBusiness: Information Systems\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tComputer Science\n",
- "early bird\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Other\n",
- "early bird\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tOther\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tStatistics\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tMathematics/AMEP\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tOther\n",
- "early bird\t\tBusiness: Information Systems\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tScience: Other\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tStatistics\n",
- "no preference\t\tOther\n",
- "no preference\t\tOther\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tData Science\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tMathematics/AMEP\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tMathematics/AMEP\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tEngineering: Other\n",
- "early bird\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tData Science\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tOther\n",
- "no preference\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tData Science\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tData Science\n",
- "early bird\t\tOther\n",
- "no preference\t\tComputer Science\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tBusiness: Information Systems\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tOther\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Physics\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tData Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tMathematics/AMEP\n",
- "no preference\t\tOther\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tMathematics/AMEP\n",
- "night owl\t\tData Science\n",
- "early bird\t\tData Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tData Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tOther\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "no preference\t\tOther\n",
- "no preference\t\tBusiness: Actuarial\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tStatistics\n",
- "no preference\t\tData Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tOther\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tBusiness: Actuarial\n",
- "no preference\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tOther\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tData Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Other\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tBusiness: Actuarial\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Other\n",
- "early bird\t\tScience: Other\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tMathematics/AMEP\n",
- "night owl\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tData Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tData Science\n",
- "early bird\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tData Science\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "no preference\t\tBusiness: Actuarial\n",
- "night owl\t\tOther\n",
- "no preference\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tMathematics/AMEP\n",
- "no preference\t\tBusiness: Finance\n",
- "night owl\t\tData Science\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tComputer Science\n",
- "no preference\t\tBusiness: Finance\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Other\n",
- "early bird\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tScience: Chemistry\n",
- "no preference\t\tOther\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "night owl\t\tScience: Biology/Life\n",
- "early bird\t\tOther\n",
- "no preference\t\tComputer Science\n",
- "no preference\t\tOther\n",
- "early bird\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tBusiness: Actuarial\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tBusiness: Finance\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tMathematics/AMEP\n",
- "no preference\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tBusiness: Information Systems\n",
- "no preference\t\tScience: Physics\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tData Science\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tBusiness: Other\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tData Science\n",
- "night owl\t\tScience: Chemistry\n",
- "night owl\t\tMathematics/AMEP\n",
- "early bird\t\tOther\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tOther\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Physics\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tScience: Physics\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Mechanical\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "no preference\t\tOther\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tOther\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tOther\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "early bird\t\tOther\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "no preference\t\tData Science\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Chemistry\n",
- "no preference\t\tEngineering: Mechanical\n",
- "early bird\t\tMathematics/AMEP\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tScience: Chemistry\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tData Science\n",
- "early bird\t\tEngineering: Industrial\n",
- "no preference\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tData Science\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "early bird\t\tBusiness: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tOther\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "early bird\t\tData Science\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tOther\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "no preference\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tScience: Other\n",
- "early bird\t\tOther\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Industrial\n",
- "early bird\t\tScience: Biology/Life\n",
- "no preference\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tOther\n",
- "night owl\t\tComputer Science\n"
- ]
- }
- ],
- "source": [
- "# Print out every student's sleep habits and major\n",
- "# use for \n",
- "for row in cs220_data:\n",
- " current_sleep_habit = row[8]\n",
- " current_major = row[2]\n",
- " print(current_sleep_habit + '\\t\\t' + current_major)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "19.637393767705383\n"
- ]
- }
- ],
- "source": [
- "# Create a list containing the average age of LEC003.\n",
- "\n",
- "lecture = \"LEC003\"\n",
- "total = 0\n",
- "count = 0 \n",
- "for row in cs220_data:\n",
- " age = row[cs220_header.index(\"Age\")]\n",
- " if age == \"\":\n",
- " continue\n",
- " age = int(age)\n",
- " count += 1\n",
- " total += age\n",
- "print(total/count)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## It would be nice to have a helper function!\n",
- "Let's introduce `cell`"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# How do we get the names of all the columns?\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Get the column index of \"Pizza topping\"\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# We want to invoke something like...\n",
- "# cell(24, \"Pet owner\")\n",
- "# cell(63, \"Zip Code\")\n",
- "def cell_v1(row_idx, col_name):\n",
- " col_idx = ??? # get the index of col_name\n",
- " val = ??? # get the value of cs220_data at the specified cell\n",
- " return val"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Print out the lecture number of the 4th student... using the cell function\n",
- "cell_v1(???, ???)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Redo sleep habits and major using the cell function"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# redo average age using the cell function\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Improve the cell function so it returns the appropriate type.\n",
- "# If there is nothing in the cell, return None\n",
- "# otherwise, use the col_name to convert to the expected type\n",
- "def cell(row_idx, col_name):\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# # redo again using the improved cell function"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Practice problems"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Count how many people are both an Engineer and a pet owner."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What percentage of students chose a non-meat pizza topping?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What do you want to find out ? "
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "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": "3.9.1"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/f22/andy_lec_notes/lec_15/lec15_csvfiles_amfam.ipynb b/f22/andy_lec_notes/lec_15/lec15_csvfiles_amfam.ipynb
deleted file mode 100644
index 295b4a8e9420fc394a1b1e58183f076d9dbd71b2..0000000000000000000000000000000000000000
--- a/f22/andy_lec_notes/lec_15/lec15_csvfiles_amfam.ipynb
+++ /dev/null
@@ -1,15674 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1"
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Warmup #1: Take a look at these list methods \n",
- "# https://www.w3schools.com/python/python_ref_list.asp\n",
- "dairy = [\"milk\", \"ice cream\", \"cheese\", \"yogurt\" ]\n",
- "\n",
- "#use the .index() method to get the index of \"ice cream\"\n",
- "dairy.index(\"ice cream\")\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "peanut butter is not dairy\n",
- "milk is dairy\n",
- "bread is not dairy\n",
- "cheese is dairy\n",
- "YOGURT is not dairy\n"
- ]
- }
- ],
- "source": [
- "# Warmup #2: Because a list is a sequence, we can use the 'in' operator\n",
- "food_shelf = [\"peanut butter\", \"milk\", \"bread\", \"cheese\", \"YOGURT\"]\n",
- "for item in food_shelf:\n",
- " if item in dairy:\n",
- " print(item, \"is dairy\")\n",
- " else:\n",
- " print(item, \"is not dairy\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #3: finish Monday's lecture problems\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #4: Open cs220_survey_data.csv from your Desktop\n",
- "# Take notes here\n",
- "\n",
- "# Look at the slides for today"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# CS220: Lecture 15\n",
- "\n",
- "\n",
- "## Learning Objectives\n",
- "After this lecture you will be able to...\n",
- "- Open an Excel file and export it to a Comma Separated Value file.\n",
- "\n",
- "- Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet.\n",
- "\n",
- "- Use pre-written Python code to read a CSV file into a list of lists.\n",
- "\n",
- "- Write Python statements with double list indexing to access any element of a CSV file via a list of lists.\n",
- "\n",
- "- Write code that answers questions about CSV data by writing for loops on lists of lists.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What do you notice? Take notes here\n",
- "# "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Use pre-written Python code to read a CSV file into a list of lists."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "\n",
- "\n",
- "# copied from https://automatetheboringstuff.com/chapter14/\n",
- "import csv\n",
- "\n",
- "def process_csv(filename):\n",
- " # open the file, its a text file utf-8\n",
- " exampleFile = open(filename, encoding=\"utf-8\") \n",
- " \n",
- " # prepare it for reading as a CSV object\n",
- " exampleReader = csv.reader(exampleFile) \n",
- " \n",
- " # use the built-in list function to convert this into a list of lists\n",
- " exampleData = list(exampleReader) \n",
- " \n",
- " # close the file to tidy up our workspace\n",
- " exampleFile.close() \n",
- " \n",
- " # return the list of lists\n",
- " return exampleData\n"
- ]
- },
- {
- "cell_type": "code",
- "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'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53711',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Science: Physics',\n",
- " 'Astronomy-Physics, History',\n",
- " '53726',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Science: Chemistry',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics ',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Statistics',\n",
- " '',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Stats',\n",
- " '53715',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Business: Finance',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Other',\n",
- " 'I am undecided – thinking about Data Science Major',\n",
- " '53706',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Statistics',\n",
- " 'psychology',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Statistics',\n",
- " 'Mathematics ',\n",
- " '53726',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53711',\n",
- " 'sausage',\n",
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- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Other',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Business: Information Systems',\n",
- " '',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Other',\n",
- " '',\n",
- " '53703',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Business: Actuarial',\n",
- " '',\n",
- " '53175',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Engineering: Mechanical',\n",
- " 'Naval Architecture & Marnie Engineering (self-tutored)',\n",
- " '53711',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Business: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Data Science',\n",
- " 'computer science, stats ',\n",
- " '53711',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Statistics',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Industrial',\n",
- " 'Data science ',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics, Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " 'Spanish',\n",
- " '53719',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '24',\n",
- " 'Engineering: Industrial',\n",
- " 'Business',\n",
- " '53726',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Other',\n",
- " 'NA',\n",
- " '53703',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Other',\n",
- " 'Data Science Certificate, Economics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53706',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '17',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53715',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53705',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " 'chemical engineering',\n",
- " '53711',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53590',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Data Science',\n",
- " 'Biology, Bioinformatics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53705',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Finance',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Computer science',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '23',\n",
- " 'Science: Other',\n",
- " 'Computer Science',\n",
- " '53711',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'macaroni/pasta',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Other',\n",
- " 'I do not have a secondary major but my major is International Studies. ',\n",
- " '53076',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Science: Biology/Life',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53726',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Engineering: Industrial',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Science: Biology/Life',\n",
- " 'Life Science Communication',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Science: Biology/Life',\n",
- " 'Data Science',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '22',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Information Systems',\n",
- " '',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['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": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Call the process_csv function and store the list of lists in cs220_csv\n",
- "cs220_csv = process_csv('cs220_survey_data.csv')\n",
- "cs220_csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "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": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Store the header row into cs220_header\n",
- "cs220_header = cs220_csv[0]\n",
- "cs220_header"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "[['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53711',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Science: Physics',\n",
- " 'Astronomy-Physics, History',\n",
- " '53726',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Science: Chemistry',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics ',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Statistics',\n",
- " '',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Stats',\n",
- " '53715',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Business: Finance',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'No'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Other',\n",
- " 'I am undecided – thinking about Data Science Major',\n",
- " '53706',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Statistics',\n",
- " 'psychology',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Statistics',\n",
- " 'Mathematics ',\n",
- " '53726',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53711',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Science: Physics',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Economics',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " 'nuclear engineering',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Science: Chemistry',\n",
- " '',\n",
- " '',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '',\n",
- " 'Engineering: Other',\n",
- " '',\n",
- " '',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
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- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Industrial',\n",
- " 'Data science ',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC004',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Economics, Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " 'Spanish',\n",
- " '53719',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '24',\n",
- " 'Engineering: Industrial',\n",
- " 'Business',\n",
- " '53726',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Other',\n",
- " 'NA',\n",
- " '53703',\n",
- " 'basil/spinach',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Other',\n",
- " 'Data Science Certificate, Economics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC004',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53706',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '17',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53715',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Engineering: Biomedical',\n",
- " '',\n",
- " '53703',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Other',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Mathematics/AMEP',\n",
- " '',\n",
- " '53705',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " 'chemical engineering',\n",
- " '53711',\n",
- " 'green pepper',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '21',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'mushroom',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Data Science',\n",
- " '',\n",
- " '53590',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Data Science',\n",
- " 'Biology, Bioinformatics',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '21',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53705',\n",
- " 'none (just cheese)',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53706',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Finance',\n",
- " 'Data Science',\n",
- " '53715',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Data Science',\n",
- " 'Computer science',\n",
- " '53706',\n",
- " 'pineapple',\n",
- " 'No',\n",
- " 'Yes',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '23',\n",
- " 'Science: Other',\n",
- " 'Computer Science',\n",
- " '53711',\n",
- " 'pineapple',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'No'],\n",
- " ['LEC003',\n",
- " '18',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53706',\n",
- " 'sausage',\n",
- " 'No',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'No'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Computer Science',\n",
- " 'Data Science',\n",
- " '53703',\n",
- " 'Other',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC001',\n",
- " '19',\n",
- " 'Science: Other',\n",
- " '',\n",
- " '53706',\n",
- " 'macaroni/pasta',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '19',\n",
- " 'Other',\n",
- " 'I do not have a secondary major but my major is International Studies. ',\n",
- " '53076',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'Yes',\n",
- " 'early bird',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '21',\n",
- " 'Science: Biology/Life',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53726',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC002',\n",
- " '20',\n",
- " 'Engineering: Industrial',\n",
- " '',\n",
- " '53715',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Yes'],\n",
- " ['LEC003',\n",
- " '20',\n",
- " 'Science: Biology/Life',\n",
- " 'Life Science Communication',\n",
- " '53703',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'early bird',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '19',\n",
- " 'Science: Biology/Life',\n",
- " 'Data Science',\n",
- " '',\n",
- " 'pepperoni',\n",
- " 'No',\n",
- " 'No',\n",
- " 'no preference',\n",
- " 'Maybe'],\n",
- " ['LEC002',\n",
- " '22',\n",
- " 'Computer Science',\n",
- " '',\n",
- " '53703',\n",
- " 'sausage',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['LEC001',\n",
- " '20',\n",
- " 'Business: Information Systems',\n",
- " '',\n",
- " '53706',\n",
- " 'mushroom',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Yes'],\n",
- " ['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": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Store all of the data rows into cs220_data\n",
- "cs220_data = cs220_csv[1:]\n",
- "cs220_data"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## CSVs as a List of Lists"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "720"
- ]
- },
- "execution_count": 7,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Determine how many students completed the survey.\n",
- "len(cs220_data)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "['LEC002',\n",
- " '19',\n",
- " 'Engineering: Mechanical',\n",
- " '',\n",
- " '53711',\n",
- " 'pepperoni',\n",
- " 'Yes',\n",
- " 'No',\n",
- " 'night owl',\n",
- " 'Maybe']"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# show the entire 1st row of data\n",
- "cs220_data[0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'night owl'"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Find the sleeping habit for the 2nd student...by hardcoding its row and column....\n",
- "cs220_data[1][8]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'LEC004'"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Find the lecture number of the 4th student...by hardcoding its row and column....\n",
- "cs220_data[3][0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Physics\n",
- "early bird\t\tScience: Chemistry\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tData Science\n",
- "early bird\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tMathematics/AMEP\n",
- "early bird\t\tScience: Physics\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tScience: Chemistry\n",
- "no preference\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tLanguages\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tScience: Physics\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tScience: Physics\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Other\n",
- "no preference\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tOther\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "early bird\t\tData Science\n",
- "early bird\t\tData Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tOther\n",
- "early bird\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tBusiness: Information Systems\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tComputer Science\n",
- "early bird\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Other\n",
- "early bird\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "no preference\t\tOther\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tStatistics\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tMathematics/AMEP\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tOther\n",
- "early bird\t\tBusiness: Information Systems\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tScience: Other\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tStatistics\n",
- "no preference\t\tOther\n",
- "no preference\t\tOther\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tData Science\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tMathematics/AMEP\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tMathematics/AMEP\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tEngineering: Other\n",
- "early bird\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tData Science\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tOther\n",
- "no preference\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tData Science\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tData Science\n",
- "early bird\t\tOther\n",
- "no preference\t\tComputer Science\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tBusiness: Information Systems\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tOther\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Physics\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tData Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tMathematics/AMEP\n",
- "no preference\t\tOther\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tMathematics/AMEP\n",
- "night owl\t\tData Science\n",
- "early bird\t\tData Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tData Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tOther\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "no preference\t\tOther\n",
- "no preference\t\tBusiness: Actuarial\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tStatistics\n",
- "no preference\t\tData Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tOther\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tBusiness: Actuarial\n",
- "no preference\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tComputer Science\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tOther\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tData Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Other\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Other\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tBusiness: Actuarial\n",
- "no preference\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Other\n",
- "early bird\t\tScience: Other\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tMathematics/AMEP\n",
- "night owl\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tData Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tEngineering: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tData Science\n",
- "early bird\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tData Science\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tBusiness: Other\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "no preference\t\tBusiness: Actuarial\n",
- "night owl\t\tOther\n",
- "no preference\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tMathematics/AMEP\n",
- "no preference\t\tBusiness: Finance\n",
- "night owl\t\tData Science\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tComputer Science\n",
- "no preference\t\tBusiness: Finance\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tData Science\n",
- "night owl\t\tBusiness: Other\n",
- "early bird\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tScience: Chemistry\n",
- "no preference\t\tOther\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "night owl\t\tScience: Biology/Life\n",
- "early bird\t\tOther\n",
- "no preference\t\tComputer Science\n",
- "no preference\t\tOther\n",
- "early bird\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tBusiness: Actuarial\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "early bird\t\tStatistics\n",
- "night owl\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tBusiness: Other\n",
- "night owl\t\tBusiness: Information Systems\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "early bird\t\tEngineering: Biomedical\n",
- "early bird\t\tBusiness: Finance\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tMathematics/AMEP\n",
- "no preference\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tBusiness: Information Systems\n",
- "no preference\t\tScience: Physics\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "night owl\t\tData Science\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tBusiness: Other\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tData Science\n",
- "night owl\t\tScience: Chemistry\n",
- "night owl\t\tMathematics/AMEP\n",
- "early bird\t\tOther\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tOther\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "early bird\t\tScience: Biology/Life\n",
- "early bird\t\tOther\n",
- "early bird\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tScience: Other\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tScience: Physics\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Biomedical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Actuarial\n",
- "night owl\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tScience: Physics\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "early bird\t\tEngineering: Mechanical\n",
- "early bird\t\tEngineering: Mechanical\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "no preference\t\tOther\n",
- "no preference\t\tEngineering: Biomedical\n",
- "early bird\t\tOther\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tStatistics\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tScience: Biology/Life\n",
- "no preference\t\tOther\n",
- "night owl\t\tScience: Physics\n",
- "night owl\t\tComputer Science\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tScience: Other\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tOther\n",
- "night owl\t\tData Science\n",
- "early bird\t\tOther\n",
- "early bird\t\tEngineering: Industrial\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tOther\n",
- "no preference\t\tData Science\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tEngineering: Industrial\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Chemistry\n",
- "no preference\t\tEngineering: Mechanical\n",
- "early bird\t\tMathematics/AMEP\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Other\n",
- "night owl\t\tScience: Chemistry\n",
- "night owl\t\tEngineering: Mechanical\n",
- "early bird\t\tData Science\n",
- "early bird\t\tEngineering: Industrial\n",
- "no preference\t\tData Science\n",
- "night owl\t\tData Science\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tStatistics\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "no preference\t\tData Science\n",
- "early bird\t\tEngineering: Other\n",
- "night owl\t\tData Science\n",
- "early bird\t\tBusiness: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Finance\n",
- "night owl\t\tScience: Other\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Other\n",
- "no preference\t\tBusiness: Information Systems\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tOther\n",
- "early bird\t\tBusiness: Actuarial\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tBusiness: Other\n",
- "early bird\t\tData Science\n",
- "night owl\t\tStatistics\n",
- "early bird\t\tEngineering: Industrial\n",
- "no preference\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Industrial\n",
- "night owl\t\tOther\n",
- "early bird\t\tEngineering: Mechanical\n",
- "night owl\t\tOther\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Biomedical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tData Science\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tEngineering: Biomedical\n",
- "early bird\t\tOther\n",
- "night owl\t\tMathematics/AMEP\n",
- "night owl\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "no preference\t\tData Science\n",
- "early bird\t\tComputer Science\n",
- "no preference\t\tData Science\n",
- "no preference\t\tEngineering: Mechanical\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Finance\n",
- "no preference\t\tData Science\n",
- "early bird\t\tScience: Other\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tComputer Science\n",
- "night owl\t\tScience: Other\n",
- "early bird\t\tOther\n",
- "night owl\t\tScience: Biology/Life\n",
- "night owl\t\tEngineering: Mechanical\n",
- "no preference\t\tEngineering: Industrial\n",
- "early bird\t\tScience: Biology/Life\n",
- "no preference\t\tScience: Biology/Life\n",
- "night owl\t\tComputer Science\n",
- "night owl\t\tBusiness: Information Systems\n",
- "early bird\t\tBusiness: Other\n",
- "no preference\t\tOther\n",
- "night owl\t\tComputer Science\n"
- ]
- }
- ],
- "source": [
- "# Print out every student's sleep habits and major\n",
- "# use for \n",
- "for row in cs220_data:\n",
- " current_sleep_habit = row[cs220_header.index(\"Sleep habit\")]\n",
- " current_major = row[cs220_header.index(\"Primary major\")]\n",
- " print(current_sleep_habit + '\\t\\t' + current_major)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "19.37837837837838\n"
- ]
- }
- ],
- "source": [
- "# Create a list containing the average age of LEC003.\n",
- "\n",
- "lecture = \"LEC003\"\n",
- "total = 0\n",
- "count = 0\n",
- "for row in cs220_data:\n",
- " if row[cs220_header.index(\"Lecture\")] == lecture:\n",
- " age = row[cs220_header.index(\"Age\")]\n",
- " if age == \"\":\n",
- " continue\n",
- " age = int(age)\n",
- " total += age\n",
- " count += 1\n",
- "print(total/count)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## It would be nice to have a helper function!\n",
- "Let's introduce `cell`"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# How do we get the names of all the columns?\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Get the column index of \"Pizza topping\"\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# We want to invoke something like...\n",
- "# cell(24, \"Pet owner\")\n",
- "# cell(63, \"Zip Code\")\n",
- "def cell_v1(row_idx, col_name):\n",
- " col_idx = ??? # get the index of col_name\n",
- " val = ??? # get the value of cs220_data at the specified cell\n",
- " return val"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Print out the lecture number of the 4th student... using the cell function\n",
- "cell_v1(???, ???)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Redo sleep habits and major using the cell function"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# redo average age using the cell function\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Improve the cell function so it returns the appropriate type.\n",
- "# If there is nothing in the cell, return None\n",
- "# otherwise, use the col_name to convert to the expected type\n",
- "def cell(row_idx, col_name):\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# # redo again using the improved cell function"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Practice problems"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Count how many people are both an Engineer and a pet owner."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What percentage of students chose a non-meat pizza topping?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What do you want to find out ? "
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "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": "3.9.1"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/f22/andy_lec_notes/lec_15/lec15_csvfiles_template.ipynb b/f22/andy_lec_notes/lec_15/lec15_csvfiles_template.ipynb
deleted file mode 100644
index 4de013a5a7831411e153726a1ed7e972e310038d..0000000000000000000000000000000000000000
--- a/f22/andy_lec_notes/lec_15/lec15_csvfiles_template.ipynb
+++ /dev/null
@@ -1,401 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #1: Take a look at these list methods \n",
- "# https://www.w3schools.com/python/python_ref_list.asp\n",
- "dairy = [\"milk\", \"ice cream\", \"cheese\", \"yogurt\" ]\n",
- "\n",
- "#use the .index() method to get the index of \"ice cream\"\n",
- "\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #2: Because a list is a sequence, we can use the 'in' operator\n",
- "food_shelf = [\"peanut butter\", \"milk\", \"bread\", \"cheese\", \"YOGURT\"]\n",
- "for item in food_shelf:\n",
- " if ???:\n",
- " print(item, \"is dairy\")\n",
- " else:\n",
- " print(item, \"is not dairy\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #3: finish Monday's lecture problems\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Warmup #4: Open cs220_survey_data.csv from your Desktop\n",
- "# Take notes here\n",
- "\n",
- "# Look at the slides for today"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# CS220: Lecture 15\n",
- "\n",
- "\n",
- "## Learning Objectives\n",
- "After this lecture you will be able to...\n",
- "- Open an Excel file and export it to a Comma Separated Value file.\n",
- "\n",
- "- Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet.\n",
- "\n",
- "- Use pre-written Python code to read a CSV file into a list of lists.\n",
- "\n",
- "- Write Python statements with double list indexing to access any element of a CSV file via a list of lists.\n",
- "\n",
- "- Write code that answers questions about CSV data by writing for loops on lists of lists.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What do you notice? Take notes here\n",
- "# "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Use pre-written Python code to read a CSV file into a list of lists."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "\n",
- "\n",
- "# copied from https://automatetheboringstuff.com/chapter14/\n",
- "import csv\n",
- "\n",
- "def process_csv(filename):\n",
- " # open the file, its a text file utf-8\n",
- " exampleFile = open(filename, encoding=\"utf-8\") \n",
- " \n",
- " # prepare it for reading as a CSV object\n",
- " exampleReader = csv.reader(exampleFile) \n",
- " \n",
- " # use the built-in list function to convert this into a list of lists\n",
- " exampleData = list(exampleReader) \n",
- " \n",
- " # close the file to tidy up our workspace\n",
- " exampleFile.close() \n",
- " \n",
- " # return the list of lists\n",
- " return exampleData\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Call the process_csv function and store the list of lists in cs220_csv\n",
- "cs220_csv = process_csv('cs220_survey_data.csv')\n",
- "cs220_csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Store the header row into cs220_header\n",
- "cs220_header = cs220_csv[0]\n",
- "cs220_header"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Store all of the data rows into cs220_data\n",
- "cs220_data = cs220_csv[1:]\n",
- "cs220_data"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## CSVs as a List of Lists"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Determine how many students completed the survey.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# show the entire 1st row of data\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Find the sleeping habit for the 2nd student...by hardcoding its row and column....\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Find the lecture number of the 4th student...by hardcoding its row and column....\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Print out every student's sleep habits and major\n",
- "# use for \n",
- "for row in cs220_data:\n",
- " current_sleep_habit = None\n",
- " current_major = None\n",
- " print(current_sleep_habit + '\\t\\t' + current_major)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Create a list containing the average age of LEC003.\n",
- "\n",
- "lecture = \"LEC003\"\n",
- "\n",
- "for row in cs220_data:\n",
- " pass"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## It would be nice to have a helper function!\n",
- "Let's introduce `cell`"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# How do we get the names of all the columns?\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Get the column index of \"Pizza topping\"\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# We want to invoke something like...\n",
- "# cell(24, \"Pet owner\")\n",
- "# cell(63, \"Zip Code\")\n",
- "def cell_v1(row_idx, col_name):\n",
- " col_idx = ??? # get the index of col_name\n",
- " val = ??? # get the value of cs220_data at the specified cell\n",
- " return val"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Print out the lecture number of the 4th student... using the cell function\n",
- "cell_v1(???, ???)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Redo sleep habits and major using the cell function"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# redo average age using the cell function\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Improve the cell function so it returns the appropriate type.\n",
- "# If there is nothing in the cell, return None\n",
- "# otherwise, use the col_name to convert to the expected type\n",
- "def cell(row_idx, col_name):\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# # redo again using the improved cell function"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Practice problems"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Count how many people are both an Engineer and a pet owner."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What percentage of students chose a non-meat pizza topping?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# What do you want to find out ? "
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "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": "3.9.1"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}