Fall_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fall 2018 DSI Analysis: Midpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "All_workshop_data = pd.read_csv('Full_DSI_History.csv')\n",
    "All_workshop_data['timestamp'] = pd.to_datetime(All_workshop_data['timestamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "181             SQL Fall 2018 (Responses)\n",
       "342    R1 September Fall 2018 (Responses)\n",
       "Name: workshop_type, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "All_workshop_data[All_workshop_data['email'] == \"marc.diaz@ufl.edu\"]['workshop_type']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['timestamp', 'email',\n",
       "       'do_you_want_to_receive_updates_about_meetings_workshops_and_other_dsi_events',\n",
       "       'first_name', 'last_name', 'gender', 'is_this_your_first_dsi_event',\n",
       "       'what_year_are_you_in', 'how_much_prior_coding_experience_do_you_have',\n",
       "       'what_subject_best_describes_your_current_major_or_profession',\n",
       "       'optional_write_your_full_major_name', 'how_did_you_hear_about_us',\n",
       "       'workshop_type', 'raw_studies', 'academic_standing', 'study',\n",
       "       'past_attendance', 'first_attendance', 'race', 'ethnicity', 'feedback',\n",
       "       'listserv', 'code_background'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "All_workshop_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>timestamp</th>\n",
       "      <th>email</th>\n",
       "      <th>do_you_want_to_receive_updates_about_meetings_workshops_and_other_dsi_events</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>gender</th>\n",
       "      <th>is_this_your_first_dsi_event</th>\n",
       "      <th>what_year_are_you_in</th>\n",
       "      <th>how_much_prior_coding_experience_do_you_have</th>\n",
       "      <th>what_subject_best_describes_your_current_major_or_profession</th>\n",
       "      <th>...</th>\n",
       "      <th>raw_studies</th>\n",
       "      <th>academic_standing</th>\n",
       "      <th>study</th>\n",
       "      <th>past_attendance</th>\n",
       "      <th>first_attendance</th>\n",
       "      <th>race</th>\n",
       "      <th>ethnicity</th>\n",
       "      <th>feedback</th>\n",
       "      <th>listserv</th>\n",
       "      <th>code_background</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-11-05 17:53:20</td>\n",
       "      <td>nawafalharbi@ufl.edu</td>\n",
       "      <td>Yes</td>\n",
       "      <td>nawaf</td>\n",
       "      <td>alharbi</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Graduate Student</td>\n",
       "      <td>Less than 1 year</td>\n",
       "      <td>Technology (computer engineering, computer sci...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-11-05 18:06:02</td>\n",
       "      <td>kaemon@ufl.edu</td>\n",
       "      <td>I'm already on the listserv</td>\n",
       "      <td>Kaemon</td>\n",
       "      <td>Vero</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Graduate Student</td>\n",
       "      <td>Less than 1 year</td>\n",
       "      <td>Business Administration (finance, accounting, ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-11-05 18:07:53</td>\n",
       "      <td>a.thudianplackel@ufl.edu</td>\n",
       "      <td>I'm already on the listserv</td>\n",
       "      <td>Anu</td>\n",
       "      <td>Thudianplackel</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Graduate Student</td>\n",
       "      <td>Less than 1 year</td>\n",
       "      <td>Business Administration (finance, accounting, ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-11-05 18:09:13</td>\n",
       "      <td>dharmi.sanghavi@outlook.com</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Dharmil</td>\n",
       "      <td>Sanghavi</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Graduate Student</td>\n",
       "      <td>Less than 1 year</td>\n",
       "      <td>Business Administration (finance, accounting, ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-11-05 18:10:51</td>\n",
       "      <td>ujjualramachandr@ufl.edu</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Ujjual</td>\n",
       "      <td>Ramachandran</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Graduate Student</td>\n",
       "      <td>None</td>\n",
       "      <td>Business Administration (finance, accounting, ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp                        email  \\\n",
       "0 2018-11-05 17:53:20         nawafalharbi@ufl.edu   \n",
       "1 2018-11-05 18:06:02               kaemon@ufl.edu   \n",
       "2 2018-11-05 18:07:53     a.thudianplackel@ufl.edu   \n",
       "3 2018-11-05 18:09:13  dharmi.sanghavi@outlook.com   \n",
       "4 2018-11-05 18:10:51     ujjualramachandr@ufl.edu   \n",
       "\n",
       "  do_you_want_to_receive_updates_about_meetings_workshops_and_other_dsi_events  \\\n",
       "0                                                Yes                             \n",
       "1                        I'm already on the listserv                             \n",
       "2                        I'm already on the listserv                             \n",
       "3                                                Yes                             \n",
       "4                                                Yes                             \n",
       "\n",
       "  first_name       last_name  gender is_this_your_first_dsi_event  \\\n",
       "0      nawaf         alharbi    Male                          Yes   \n",
       "1     Kaemon            Vero    Male                           No   \n",
       "2        Anu  Thudianplackel  Female                           No   \n",
       "3    Dharmil        Sanghavi    Male                          Yes   \n",
       "4     Ujjual    Ramachandran    Male                          Yes   \n",
       "\n",
       "  what_year_are_you_in how_much_prior_coding_experience_do_you_have  \\\n",
       "0     Graduate Student                             Less than 1 year   \n",
       "1     Graduate Student                             Less than 1 year   \n",
       "2     Graduate Student                             Less than 1 year   \n",
       "3     Graduate Student                             Less than 1 year   \n",
       "4     Graduate Student                                         None   \n",
       "\n",
       "  what_subject_best_describes_your_current_major_or_profession  \\\n",
       "0  Technology (computer engineering, computer sci...             \n",
       "1  Business Administration (finance, accounting, ...             \n",
       "2  Business Administration (finance, accounting, ...             \n",
       "3  Business Administration (finance, accounting, ...             \n",
       "4  Business Administration (finance, accounting, ...             \n",
       "\n",
       "        ...       raw_studies academic_standing study past_attendance  \\\n",
       "0       ...               NaN               NaN   NaN             NaN   \n",
       "1       ...               NaN               NaN   NaN             NaN   \n",
       "2       ...               NaN               NaN   NaN             NaN   \n",
       "3       ...               NaN               NaN   NaN             NaN   \n",
       "4       ...               NaN               NaN   NaN             NaN   \n",
       "\n",
       "  first_attendance race ethnicity feedback listserv code_background  \n",
       "0              NaN  NaN       NaN      NaN      NaN             NaN  \n",
       "1              NaN  NaN       NaN      NaN      NaN             NaN  \n",
       "2              NaN  NaN       NaN      NaN      NaN             NaN  \n",
       "3              NaN  NaN       NaN      NaN      NaN             NaN  \n",
       "4              NaN  NaN       NaN      NaN      NaN             NaN  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "All_workshop_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "Fall_workshops = All_workshop_data[All_workshop_data['workshop_type'].str.contains(\"Fall 2018\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of Workshops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DSI has hosted 18 workshops in the Fall so far\n"
     ]
    }
   ],
   "source": [
    "print(\"DSI has hosted\", Fall_workshops.workshop_type.nunique(), \"workshops in the Fall so far\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average Attendance "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average attendance for Fall 2018 Workshops is 28.166666666666668\n"
     ]
    }
   ],
   "source": [
    "print(\"The average attendance for Fall 2018 Workshops is\", len(Fall_workshops)*1.0 / Fall_workshops.workshop_type.nunique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of Unique Attendants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of unique attendants for Fall 2018 is 272\n"
     ]
    }
   ],
   "source": [
    "print(\"The number of unique attendants for Fall 2018 is\", Fall_workshops.email.nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The total number of attendences is 507\n"
     ]
    }
   ],
   "source": [
    "print(\"The total number of attendences is\",len(Fall_workshops))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Advertising Efficiency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x112bf1358>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=Fall_workshops, y = 'how_did_you_hear_about_us', order = Fall_workshops['how_did_you_hear_about_us'].value_counts().iloc[:10].index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Facebook is still the major driver, Announcements have made a huge jump compared to previous years. Nicely done!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Repeat Attendees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0.98,'Histogram of Number of Workshop Attendences by Email')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = sns.distplot(All_workshop_data['email'].value_counts(), kde= False)\n",
    "fig = a.figure\n",
    "fig.suptitle(\"Histogram of Number of Workshop Attendences by Email\", size=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0.98,'Histogram of Number of Workshop Attendences by Email')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = sns.distplot(Fall_workshops['email'].value_counts(), kde= False)\n",
    "fig = a.figure\n",
    "fig.suptitle(\"Histogram of Number of Workshop Attendences by Email\", size=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>timestamp</th>\n",
       "      <th>email</th>\n",
       "      <th>do_you_want_to_receive_updates_about_meetings_workshops_and_other_dsi_events</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>gender</th>\n",
       "      <th>is_this_your_first_dsi_event</th>\n",
       "      <th>what_year_are_you_in</th>\n",
       "      <th>how_much_prior_coding_experience_do_you_have</th>\n",
       "      <th>what_subject_best_describes_your_current_major_or_profession</th>\n",
       "      <th>...</th>\n",
       "      <th>raw_studies</th>\n",
       "      <th>academic_standing</th>\n",
       "      <th>study</th>\n",
       "      <th>past_attendance</th>\n",
       "      <th>first_attendance</th>\n",
       "      <th>race</th>\n",
       "      <th>ethnicity</th>\n",
       "      <th>feedback</th>\n",
       "      <th>listserv</th>\n",
       "      <th>code_background</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2018-11-05 14:00:34</td>\n",
       "      <td>emmett.kendall@ufl.edu</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Emmett</td>\n",
       "      <td>Kendall</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sophomore</td>\n",
       "      <td>Less than 1 year</td>\n",
       "      <td>Formal Sciences (mathematics, logic, statistic...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             timestamp                   email  \\\n",
       "42 2018-11-05 14:00:34  emmett.kendall@ufl.edu   \n",
       "\n",
       "   do_you_want_to_receive_updates_about_meetings_workshops_and_other_dsi_events  \\\n",
       "42                                                Yes                             \n",
       "\n",
       "   first_name last_name gender is_this_your_first_dsi_event  \\\n",
       "42     Emmett   Kendall   Male                           No   \n",
       "\n",
       "   what_year_are_you_in how_much_prior_coding_experience_do_you_have  \\\n",
       "42            Sophomore                             Less than 1 year   \n",
       "\n",
       "   what_subject_best_describes_your_current_major_or_profession  \\\n",
       "42  Formal Sciences (mathematics, logic, statistic...             \n",
       "\n",
       "         ...       raw_studies academic_standing study past_attendance  \\\n",
       "42       ...               NaN               NaN   NaN             NaN   \n",
       "\n",
       "   first_attendance race ethnicity feedback listserv code_background  \n",
       "42              NaN  NaN       NaN      NaN      NaN             NaN  \n",
       "\n",
       "[1 rows x 23 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#congrats to our top attending workshop attendee!\n",
    "Fall_workshops[Fall_workshops['email'] == Fall_workshops['email'].value_counts().index[0]].head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Year Breakdown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1132aeb38>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=All_workshop_data, x = 'what_year_are_you_in', order = All_workshop_data['what_year_are_you_in'].value_counts().iloc[:10].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1133b01d0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=Fall_workshops, x = 'what_year_are_you_in', order = Fall_workshops['what_year_are_you_in'].value_counts().iloc[:10].index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Proportion of First Time Attendees per Workshop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Same graph but smaller"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113451550>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "All_workshop_data.groupby('is_this_your_first_dsi_event').workshop_type.value_counts(normalize=True).unstack(0).plot.barh()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0,0.5,'Percentage'), Text(0.5,0,'First DSI Event?')]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "First_DSI = Fall_workshops.is_this_your_first_dsi_event.value_counts(normalize=True).rename_axis('unique_values').reset_index(name='counts')\n",
    "\n",
    "ax = sns.barplot(x=\"unique_values\", y=\"counts\", data=First_DSI)\n",
    "ax.set(xlabel='First DSI Event?', ylabel='Percentage')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x2592 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Fall_workshops.groupby('is_this_your_first_dsi_event').workshop_type.value_counts(normalize=True).unstack(0).plot.barh()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Workshop Attendance by Gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118b0dbe0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data = Fall_workshops, x = 'gender')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This ^ is not great and is likely representative of where Data Science is as a field, and also where we get a lot of our attendees from. See that below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1165efd30>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data = All_workshop_data, y = 'what_subject_best_describes_your_current_major_or_profession')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118cf1ef0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data = Fall_workshops, y = 'what_subject_best_describes_your_current_major_or_profession')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     238\n",
       "Yes    156\n",
       "Name: is_this_your_first_dsi_event, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Fall_workshops"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Overall, this has been a great semester so far and if we can continue our average workshop and DSI Wednesday attendance, we should be in excellent shape!"
   ]
  }
 ],
 "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": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}