moorepants/MAE_BIM 223 Prior Knowledge Survey (Responses) - Form Responses 1.csv

## mae223-fall-2019-prior-knowledge-results.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from textwrap import wrap\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('MAE_BIM 223 Prior Knowledge Survey (Responses) - Form Responses 1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Rate each of these [Write F=ma for planar single pendulum using the Newton-Euler method]</th>\n",
       "      <th>Rate each of these [Write F=ma for planar double pendulum using the Newton-Euler method]</th>\n",
       "      <th>Rate each of these [Write F=ma for a planar double pendulum using Lagrange's approach]</th>\n",
       "      <th>Rate each of these [Write F=ma for a two body system in 3D using any method]</th>\n",
       "      <th>Rate each of these [Use generalized coordinates to describe a systems configuration]</th>\n",
       "      <th>Rate each of these [Take the dot product of two 3D vectors]</th>\n",
       "      <th>Rate each of these [Take the cross product of two 3D vectors]</th>\n",
       "      <th>Rate each of these [Differentiate a vector expression]</th>\n",
       "      <th>Rate each of these [Find the instantaneous center of rotation of a moving 2D body]</th>\n",
       "      <th>...</th>\n",
       "      <th>Rate each of these [Write an expresion for the kinetic energy of a translating and rotating 2D body]</th>\n",
       "      <th>Rate each of these [Solve a set of linear equations with a matrix method]</th>\n",
       "      <th>Rate each of these [Linearize a non-linear equation]</th>\n",
       "      <th>Rate each of these [Integrate ordinary differential equations numerically]</th>\n",
       "      <th>Rate each of these [Write a program using Python]</th>\n",
       "      <th>Rate each of these [Write a program using Matlab]</th>\n",
       "      <th>Rate each of these [Write a function in any programming language]</th>\n",
       "      <th>Rate each of these [Write a class in any programming language (object oriented programming)]</th>\n",
       "      <th>Rate each of these [Use a computer aided algebra program to integrate a complex analytical expression ]</th>\n",
       "      <th>Rate each of these [Use Jupyter to create a computational notebook]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>9/30/2019 8:50:22</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>...</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>9/30/2019 9:05:00</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>...</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>9/30/2019 9:06:51</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>...</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>9/30/2019 9:20:32</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>...</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>9/30/2019 9:45:53</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>...</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No idea where to start</td>\n",
       "      <td>No problem</td>\n",
       "      <td>Will need some refreshing</td>\n",
       "      <td>No problem</td>\n",
       "      <td>No problem</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Timestamp  \\\n",
       "0  9/30/2019 8:50:22   \n",
       "1  9/30/2019 9:05:00   \n",
       "2  9/30/2019 9:06:51   \n",
       "3  9/30/2019 9:20:32   \n",
       "4  9/30/2019 9:45:53   \n",
       "\n",
       "  Rate each of these [Write F=ma for planar single pendulum using the Newton-Euler method]  \\\n",
       "0                                         No problem                                         \n",
       "1                                         No problem                                         \n",
       "2                          Will need some refreshing                                         \n",
       "3                                         No problem                                         \n",
       "4                                         No problem                                         \n",
       "\n",
       "  Rate each of these [Write F=ma for planar double pendulum using the Newton-Euler method]  \\\n",
       "0                                         No problem                                         \n",
       "1                          Will need some refreshing                                         \n",
       "2                          Will need some refreshing                                         \n",
       "3                          Will need some refreshing                                         \n",
       "4                          Will need some refreshing                                         \n",
       "\n",
       "  Rate each of these [Write F=ma for a planar double pendulum using Lagrange's approach]  \\\n",
       "0                          Will need some refreshing                                       \n",
       "1                             No idea where to start                                       \n",
       "2                          Will need some refreshing                                       \n",
       "3                             No idea where to start                                       \n",
       "4                             No idea where to start                                       \n",
       "\n",
       "  Rate each of these [Write F=ma for a two body system in 3D using any method]  \\\n",
       "0                          Will need some refreshing                             \n",
       "1                             No idea where to start                             \n",
       "2                          Will need some refreshing                             \n",
       "3                          Will need some refreshing                             \n",
       "4                          Will need some refreshing                             \n",
       "\n",
       "  Rate each of these [Use generalized coordinates to describe a systems configuration]  \\\n",
       "0                                         No problem                                     \n",
       "1                             No idea where to start                                     \n",
       "2                          Will need some refreshing                                     \n",
       "3                                         No problem                                     \n",
       "4                             No idea where to start                                     \n",
       "\n",
       "  Rate each of these [Take the dot product of two 3D vectors]  \\\n",
       "0                                         No problem            \n",
       "1                                         No problem            \n",
       "2                                         No problem            \n",
       "3                                         No problem            \n",
       "4                                         No problem            \n",
       "\n",
       "  Rate each of these [Take the cross product of two 3D vectors]  \\\n",
       "0                                         No problem              \n",
       "1                                         No problem              \n",
       "2                                         No problem              \n",
       "3                                         No problem              \n",
       "4                                         No problem              \n",
       "\n",
       "  Rate each of these [Differentiate a vector expression]  \\\n",
       "0                                         No problem       \n",
       "1                                         No problem       \n",
       "2                                         No problem       \n",
       "3                                         No problem       \n",
       "4                          Will need some refreshing       \n",
       "\n",
       "  Rate each of these [Find the instantaneous center of rotation of a moving 2D body]  \\\n",
       "0                                         No problem                                   \n",
       "1                          Will need some refreshing                                   \n",
       "2                          Will need some refreshing                                   \n",
       "3                          Will need some refreshing                                   \n",
       "4                          Will need some refreshing                                   \n",
       "\n",
       "   ...  \\\n",
       "0  ...   \n",
       "1  ...   \n",
       "2  ...   \n",
       "3  ...   \n",
       "4  ...   \n",
       "\n",
       "  Rate each of these [Write an expresion for the kinetic energy of a translating and rotating 2D body]  \\\n",
       "0                          Will need some refreshing                                                     \n",
       "1                                         No problem                                                     \n",
       "2                                         No problem                                                     \n",
       "3                                         No problem                                                     \n",
       "4                          Will need some refreshing                                                     \n",
       "\n",
       "  Rate each of these [Solve a set of linear equations with a matrix method]  \\\n",
       "0                                         No problem                          \n",
       "1                                         No problem                          \n",
       "2                                         No problem                          \n",
       "3                                         No problem                          \n",
       "4                                         No problem                          \n",
       "\n",
       "  Rate each of these [Linearize a non-linear equation]  \\\n",
       "0                          Will need some refreshing     \n",
       "1                          Will need some refreshing     \n",
       "2                          Will need some refreshing     \n",
       "3                          Will need some refreshing     \n",
       "4                                         No problem     \n",
       "\n",
       "  Rate each of these [Integrate ordinary differential equations numerically]  \\\n",
       "0                          Will need some refreshing                           \n",
       "1                             No idea where to start                           \n",
       "2                          Will need some refreshing                           \n",
       "3                                         No problem                           \n",
       "4                                         No problem                           \n",
       "\n",
       "  Rate each of these [Write a program using Python]  \\\n",
       "0                                        No problem   \n",
       "1                                        No problem   \n",
       "2                            No idea where to start   \n",
       "3                            No idea where to start   \n",
       "4                                        No problem   \n",
       "\n",
       "  Rate each of these [Write a program using Matlab]  \\\n",
       "0                                        No problem   \n",
       "1                         Will need some refreshing   \n",
       "2                         Will need some refreshing   \n",
       "3                                        No problem   \n",
       "4                            No idea where to start   \n",
       "\n",
       "  Rate each of these [Write a function in any programming language]  \\\n",
       "0                          Will need some refreshing                  \n",
       "1                                         No problem                  \n",
       "2                             No idea where to start                  \n",
       "3                                         No problem                  \n",
       "4                                         No problem                  \n",
       "\n",
       "  Rate each of these [Write a class in any programming language (object oriented programming)]  \\\n",
       "0                                         No problem                                             \n",
       "1                                         No problem                                             \n",
       "2                             No idea where to start                                             \n",
       "3                             No idea where to start                                             \n",
       "4                          Will need some refreshing                                             \n",
       "\n",
       "  Rate each of these [Use a computer aided algebra program to integrate a complex analytical expression ]  \\\n",
       "0                          Will need some refreshing                                                        \n",
       "1                             No idea where to start                                                        \n",
       "2                          Will need some refreshing                                                        \n",
       "3                                         No problem                                                        \n",
       "4                                         No problem                                                        \n",
       "\n",
       "  Rate each of these [Use Jupyter to create a computational notebook]  \n",
       "0                                         No problem                   \n",
       "1                          Will need some refreshing                   \n",
       "2                             No idea where to start                   \n",
       "3                                         No problem                   \n",
       "4                                         No problem                   \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 1152x1728 with 24 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(6, 4, sharey=True, sharex=True)\n",
    "fig.set_size_inches(16, 16*6/4)\n",
    "for col, ax in zip(df.columns[1:], axes.flatten()):\n",
    "    sns.countplot(x=col, data=df, ax=ax)\n",
    "    x_lab = ax.get_xlabel()\n",
    "    ax.set_xlabel('\\n'.join(wrap(x_lab, 30)))\n",
    "    x_labs = ax.get_xticklabels()\n",
    "    ax.set_xticklabels(x_labs, rotation=30)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "del df['Timestamp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "counts = df.apply(pd.Series.value_counts).transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top 5 \"No idea where to start\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>No idea where to start</th>\n",
       "      <th>No problem</th>\n",
       "      <th>Will need some refreshing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Write F=ma for a planar double pendulum using Lagrange's approach]</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Write a program using Python]</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Write a class in any programming language (object oriented programming)]</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Use a computer aided algebra program to integrate a complex analytical expression ]</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Use Jupyter to create a computational notebook]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    No idea where to start  \\\n",
       "Rate each of these [Write F=ma for a planar dou...                     8.0   \n",
       "Rate each of these [Write a program using Python]                      7.0   \n",
       "Rate each of these [Write a class in any progra...                     6.0   \n",
       "Rate each of these [Use a computer aided algebr...                     6.0   \n",
       "Rate each of these [Use Jupyter to create a com...                     5.0   \n",
       "\n",
       "                                                    No problem  \\\n",
       "Rate each of these [Write F=ma for a planar dou...         2.0   \n",
       "Rate each of these [Write a program using Python]          6.0   \n",
       "Rate each of these [Write a class in any progra...         5.0   \n",
       "Rate each of these [Use a computer aided algebr...         5.0   \n",
       "Rate each of these [Use Jupyter to create a com...         6.0   \n",
       "\n",
       "                                                    Will need some refreshing  \n",
       "Rate each of these [Write F=ma for a planar dou...                        6.0  \n",
       "Rate each of these [Write a program using Python]                         3.0  \n",
       "Rate each of these [Write a class in any progra...                        5.0  \n",
       "Rate each of these [Use a computer aided algebr...                        5.0  \n",
       "Rate each of these [Use Jupyter to create a com...                        5.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts.sort_values('No idea where to start', ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top 5 \"Will need some refreshing\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>No idea where to start</th>\n",
       "      <th>No problem</th>\n",
       "      <th>Will need some refreshing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Linearize a non-linear equation]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Find the instantaneous center of rotation of a moving 2D body]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Write F=ma for planar double pendulum using the Newton-Euler method]</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Calculate the velocity of an arbritrary point on a body given the velocity of another point]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Calculate the acceleration of one point on a body given the velocity and acceleration of another point on the body]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    No idea where to start  \\\n",
       "Rate each of these [Linearize a non-linear equa...                     NaN   \n",
       "Rate each of these [Find the instantaneous cent...                     NaN   \n",
       "Rate each of these [Write F=ma for planar doubl...                     2.0   \n",
       "Rate each of these [Calculate the velocity of a...                     NaN   \n",
       "Rate each of these [Calculate the acceleration ...                     NaN   \n",
       "\n",
       "                                                    No problem  \\\n",
       "Rate each of these [Linearize a non-linear equa...         2.0   \n",
       "Rate each of these [Find the instantaneous cent...         3.0   \n",
       "Rate each of these [Write F=ma for planar doubl...         4.0   \n",
       "Rate each of these [Calculate the velocity of a...         6.0   \n",
       "Rate each of these [Calculate the acceleration ...         6.0   \n",
       "\n",
       "                                                    Will need some refreshing  \n",
       "Rate each of these [Linearize a non-linear equa...                       14.0  \n",
       "Rate each of these [Find the instantaneous cent...                       13.0  \n",
       "Rate each of these [Write F=ma for planar doubl...                       10.0  \n",
       "Rate each of these [Calculate the velocity of a...                       10.0  \n",
       "Rate each of these [Calculate the acceleration ...                       10.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts.sort_values('Will need some refreshing', ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top 5 \"No problem\""
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   "cell_type": "code",
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       "      <th>No idea where to start</th>\n",
       "      <th>No problem</th>\n",
       "      <th>Will need some refreshing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Take the dot product of two 3D vectors]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Take the cross product of two 3D vectors]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Write F=ma for planar single pendulum using the Newton-Euler method]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Solve a set of linear equations with a matrix method]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rate each of these [Find the center of mass of a collection of bodies]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
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       "                                                    No idea where to start  \\\n",
       "Rate each of these [Take the dot product of two...                     NaN   \n",
       "Rate each of these [Take the cross product of t...                     NaN   \n",
       "Rate each of these [Write F=ma for planar singl...                     NaN   \n",
       "Rate each of these [Solve a set of linear equat...                     NaN   \n",
       "Rate each of these [Find the center of mass of ...                     NaN   \n",
       "\n",
       "                                                    No problem  \\\n",
       "Rate each of these [Take the dot product of two...        12.0   \n",
       "Rate each of these [Take the cross product of t...        11.0   \n",
       "Rate each of these [Write F=ma for planar singl...        10.0   \n",
       "Rate each of these [Solve a set of linear equat...        10.0   \n",
       "Rate each of these [Find the center of mass of ...         9.0   \n",
       "\n",
       "                                                    Will need some refreshing  \n",
       "Rate each of these [Take the dot product of two...                        4.0  \n",
       "Rate each of these [Take the cross product of t...                        5.0  \n",
       "Rate each of these [Write F=ma for planar singl...                        6.0  \n",
       "Rate each of these [Solve a set of linear equat...                        6.0  \n",
       "Rate each of these [Find the center of mass of ...                        5.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
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    }
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## MAE_BIM 223 Prior Knowledge Survey (Responses) - Form Responses 1.csv

          
            Timestamp
            Rate each of these [Write F=ma for planar single pendulum using the Newton-Euler method]
            Rate each of these [Write F=ma for planar double pendulum using the Newton-Euler method]
            Rate each of these [Write F=ma for a planar double pendulum using Lagrange's approach]
            Rate each of these [Write F=ma for a two body system in 3D using any method]
            Rate each of these [Use generalized coordinates to describe a systems configuration]
            Rate each of these [Take the dot product of two 3D vectors]
            Rate each of these [Take the cross product of two 3D vectors]
            Rate each of these [Differentiate a vector expression]
            Rate each of these [Find the instantaneous center of rotation of a moving 2D body]
            Rate each of these [Calculate the velocity of an arbritrary point on a body given the velocity of another point]
            Rate each of these [Calculate the acceleration of one point on a body given the velocity and acceleration of another point on the body]
            Rate each of these [Find the center of mass of a collection of bodies]
            Rate each of these [Use the parrell axis thereom to write the inertia matrix for  the combination of two bodies]
            Rate each of these [Find the principal moments of inertia given an arbtrariy inertia matrix]
            Rate each of these [Write an expresion for the kinetic energy of a translating and rotating 2D body]
            Rate each of these [Solve a set of linear equations with a matrix method]
            Rate each of these [Linearize a non-linear equation]
            Rate each of these [Integrate ordinary differential equations numerically]
            Rate each of these [Write a program using Python]
            Rate each of these [Write a program using Matlab]
            Rate each of these [Write a function in any programming language]
            Rate each of these [Write a class in any programming language (object oriented programming)]
            Rate each of these [Use a computer aided algebra program to integrate a complex analytical expression ]
            Rate each of these [Use Jupyter to create a computational notebook]

            
              9/30/2019 8:50:22
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              Will need some refreshing
              No problem
              Will need some refreshing
              No problem

            
              9/30/2019 9:05:00
              No problem
              Will need some refreshing
              No idea where to start
              No idea where to start
              No idea where to start
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              No problem
              No problem
              No idea where to start
              No idea where to start
              No problem
              No problem
              Will need some refreshing
              No idea where to start
              No problem
              Will need some refreshing
              No problem
              No problem
              No idea where to start
              Will need some refreshing

            
              9/30/2019 9:06:51
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              Will need some refreshing
              No idea where to start
              No idea where to start
              Will need some refreshing
              No idea where to start

            
              9/30/2019 9:20:32
              No problem
              Will need some refreshing
              No idea where to start
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              No idea where to start
              No problem
              No problem
              No idea where to start
              No problem
              No problem

            
              9/30/2019 9:45:53
              No problem
              Will need some refreshing
              No idea where to start
              Will need some refreshing
              No idea where to start
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              
              No idea where to start
              No idea where to start
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              No idea where to start
              No problem
              Will need some refreshing
              No problem
              No problem

            
              9/30/2019 10:16:05
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              Will need some refreshing
              No problem
              Will need some refreshing
              No problem
              No problem
              Will need some refreshing
              No problem
              No problem

            
              9/30/2019 10:21:56
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              No idea where to start
              Will need some refreshing
              No problem
              No problem
              No idea where to start
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              Will need some refreshing
              No problem
              No idea where to start
              No problem
              No problem
              Will need some refreshing
              No problem
              No idea where to start

            
              9/30/2019 10:27:01
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              No problem
              
              Will need some refreshing
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              Will need some refreshing
              No idea where to start
              No idea where to start
              No idea where to start
              No idea where to start

            
              9/30/2019 11:33:23
              No problem
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              Will need some refreshing
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              No problem
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              No idea where to start
              No idea where to start
              No problem

            
              9/30/2019 12:37:19
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              No idea where to start
              No idea where to start
              No idea where to start
              No idea where to start
              No idea where to start
              No idea where to start

            
              9/30/2019 13:28:11
              Will need some refreshing
              No idea where to start
              No idea where to start
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing

            
              9/30/2019 14:31:30
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              No idea where to start
              No idea where to start
              No idea where to start
              Will need some refreshing
              Will need some refreshing
              No problem
              No idea where to start
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No idea where to start

            
              9/30/2019 17:38:36
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              No problem
              No problem
              No problem
              Will need some refreshing

            
              9/30/2019 18:26:10
              No problem
              Will need some refreshing
              No idea where to start
              Will need some refreshing
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              No idea where to start
              No problem
              No problem
              Will need some refreshing
              Will need some refreshing
              No idea where to start
              No idea where to start
              Will need some refreshing
              No idea where to start
              No idea where to start
              No problem

            
              9/30/2019 18:48:32
              No problem
              No problem
              Will need some refreshing
              No problem
              Will need some refreshing
              No problem
              No problem
              No problem
              Will need some refreshing
              No problem
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              No problem
              No problem
              Will need some refreshing
              No problem
              No problem
              No problem
              No idea where to start
              No problem
              No problem
              No problem
              No problem
              No idea where to start
              Will need some refreshing

            
              9/30/2019 23:18:40
              No problem
              No idea where to start
              No idea where to start
              No idea where to start
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              No problem
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
              Will need some refreshing
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              Will need some refreshing
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              No idea where to start
              Will need some refreshing
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              Will need some refreshing
              Will need some refreshing
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              Will need some refreshing
Timestamp	Rate each of these [Write F=ma for planar single pendulum using the Newton-Euler method]	Rate each of these [Write F=ma for planar double pendulum using the Newton-Euler method]	Rate each of these [Write F=ma for a planar double pendulum using Lagrange's approach]	Rate each of these [Write F=ma for a two body system in 3D using any method]	Rate each of these [Use generalized coordinates to describe a systems configuration]	Rate each of these [Take the dot product of two 3D vectors]	Rate each of these [Take the cross product of two 3D vectors]	Rate each of these [Differentiate a vector expression]	Rate each of these [Find the instantaneous center of rotation of a moving 2D body]	Rate each of these [Calculate the velocity of an arbritrary point on a body given the velocity of another point]	Rate each of these [Calculate the acceleration of one point on a body given the velocity and acceleration of another point on the body]	Rate each of these [Find the center of mass of a collection of bodies]	Rate each of these [Use the parrell axis thereom to write the inertia matrix for the combination of two bodies]	Rate each of these [Find the principal moments of inertia given an arbtrariy inertia matrix]	Rate each of these [Write an expresion for the kinetic energy of a translating and rotating 2D body]	Rate each of these [Solve a set of linear equations with a matrix method]	Rate each of these [Linearize a non-linear equation]	Rate each of these [Integrate ordinary differential equations numerically]	Rate each of these [Write a program using Python]	Rate each of these [Write a program using Matlab]	Rate each of these [Write a function in any programming language]	Rate each of these [Write a class in any programming language (object oriented programming)]	Rate each of these [Use a computer aided algebra program to integrate a complex analytical expression ]	Rate each of these [Use Jupyter to create a computational notebook]
9/30/2019 8:50:22	No problem	No problem	Will need some refreshing	Will need some refreshing	No problem	No problem	No problem	No problem	No problem	No problem	No problem	No problem	No problem	No problem	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	No problem	No problem	Will need some refreshing	No problem	Will need some refreshing	No problem
9/30/2019 9:05:00	No problem	Will need some refreshing	No idea where to start	No idea where to start	No idea where to start	No problem	No problem	No problem	Will need some refreshing	No problem	No problem	No problem	No idea where to start	No idea where to start	No problem	No problem	Will need some refreshing	No idea where to start	No problem	Will need some refreshing	No problem	No problem	No idea where to start	Will need some refreshing
9/30/2019 9:06:51	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	No problem	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	No problem	Will need some refreshing	Will need some refreshing	No idea where to start	Will need some refreshing	No idea where to start	No idea where to start	Will need some refreshing	No idea where to start
9/30/2019 9:20:32	No problem	Will need some refreshing	No idea where to start	Will need some refreshing	No problem	No problem	No problem	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	No problem	No problem	No problem	No problem	Will need some refreshing	No problem	No idea where to start	No problem	No problem	No idea where to start	No problem	No problem
9/30/2019 9:45:53	No problem	Will need some refreshing	No idea where to start	Will need some refreshing	No idea where to start	No problem	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing		No idea where to start	No idea where to start	Will need some refreshing	No problem	No problem	No problem	No problem	No idea where to start	No problem	Will need some refreshing	No problem	No problem
9/30/2019 10:16:05	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	No problem	No problem	No problem	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	Will need some refreshing	No problem	Will need some refreshing	No problem	No problem	Will need some refreshing	No problem	No problem
9/30/2019 10:21:56	Will need some refreshing	Will need some refreshing	No idea where to start	No idea where to start	Will need some refreshing	No problem	No problem	No idea where to start	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	Will need some refreshing	No problem	No idea where to start	No problem	No problem	Will need some refreshing	No problem	No idea where to start
9/30/2019 10:27:01	No problem	No problem	No problem	No problem	No problem	No problem	No problem	No problem	Will need some refreshing	No problem	No problem		Will need some refreshing	No problem	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	No idea where to start	Will need some refreshing	No idea where to start	No idea where to start	No idea where to start	No idea where to start
9/30/2019 11:33:23	No problem	Will need some refreshing	Will need some refreshing	No idea where to start	Will need some refreshing	No problem	No problem	No problem	Will need some refreshing	No problem	No problem	No problem	No problem	Will need some refreshing	No problem	No problem	Will need some refreshing	No problem	No problem	No problem	No problem	No idea where to start	No idea where to start	No problem
9/30/2019 12:37:19	No problem	No problem	No problem	Will need some refreshing	No problem	No problem	No problem	No problem	No problem	No problem	No problem	No problem	No problem	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	No idea where to start	No idea where to start	No idea where to start	No idea where to start	No idea where to start	No idea where to start	No idea where to start
9/30/2019 13:28:11	Will need some refreshing	No idea where to start	No idea where to start	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	No problem	No problem	No problem	Will need some refreshing	Will need some refreshing
9/30/2019 14:31:30	Will need some refreshing	Will need some refreshing	No idea where to start	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	No idea where to start	No idea where to start	No idea where to start	Will need some refreshing	Will need some refreshing	No problem	No idea where to start	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No idea where to start
9/30/2019 17:38:36	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	No problem	No problem	No problem	Will need some refreshing
9/30/2019 18:26:10	No problem	Will need some refreshing	No idea where to start	Will need some refreshing	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No idea where to start	No idea where to start	No problem	No problem	Will need some refreshing	Will need some refreshing	No idea where to start	No idea where to start	Will need some refreshing	No idea where to start	No idea where to start	No problem
9/30/2019 18:48:32	No problem	No problem	Will need some refreshing	No problem	Will need some refreshing	No problem	No problem	No problem	Will need some refreshing	No problem	No problem	No problem	No problem	Will need some refreshing	No problem	No problem	No problem	No idea where to start	No problem	No problem	No problem	No problem	No idea where to start	Will need some refreshing
9/30/2019 23:18:40	No problem	No idea where to start	No idea where to start	No idea where to start	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing	No idea where to start	Will need some refreshing	No problem	Will need some refreshing	Will need some refreshing	Will need some refreshing	Will need some refreshing