{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8c6d5a05-21ea-4f26-adeb-35148f7d8dba",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import plotly.graph_objects as go\n",
    "import plotly.express as px\n",
    "\n",
    "from pathlib import Path\n",
    "import sys\n",
    "from docx import Document\n",
    "from docx.shared import Inches, Pt, RGBColor\n",
    "from docx.enum.text import WD_ALIGN_PARAGRAPH\n",
    "\n",
    "notebook_dir = Path().resolve()  # Current working directory\n",
    "project_root = notebook_dir.parent.parent  # Goes up to root/\n",
    "sys.path.insert(0, str(project_root / \"libs\"))\n",
    "\n",
    "from word_library import WordDocumentBuilder, PageConfig\n",
    "from pasbdc_data_cleaning import clean_center_name "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "54121b33-2152-44ed-8438-cf099a6fa2c2",
   "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>Date</th>\n",
       "      <th>Client</th>\n",
       "      <th>Contact</th>\n",
       "      <th>Survey Definition</th>\n",
       "      <th>Center</th>\n",
       "      <th>Answers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9/29/2025 12:00 AM</td>\n",
       "      <td>CurryZone (KUP270729)</td>\n",
       "      <td>Niru  Shrestha</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>Kutztown University SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9/29/2025 12:00 AM</td>\n",
       "      <td>Genie McKinney (PS018642)</td>\n",
       "      <td>Genie McKinney</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>Penn State SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9/28/2025 12:00 AM</td>\n",
       "      <td>Dani's Hair Loft (PI700652)</td>\n",
       "      <td>Danielle Kosanovich</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>University of Pittsburgh SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9/25/2025 12:00 AM</td>\n",
       "      <td>First Impressions Early Childhood Development ...</td>\n",
       "      <td>Gina Kiesewetter</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>SF - ST. FRANCIS UNIVERSITY SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9/23/2025 12:00 AM</td>\n",
       "      <td>Sweet Mom Home Day Care (PI704438)</td>\n",
       "      <td>Aissatou Bah</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>University of Pittsburgh SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Date                                             Client  \\\n",
       "0  9/29/2025 12:00 AM                              CurryZone (KUP270729)   \n",
       "1  9/29/2025 12:00 AM                          Genie McKinney (PS018642)   \n",
       "2  9/28/2025 12:00 AM                        Dani's Hair Loft (PI700652)   \n",
       "3  9/25/2025 12:00 AM  First Impressions Early Childhood Development ...   \n",
       "4  9/23/2025 12:00 AM                 Sweet Mom Home Day Care (PI704438)   \n",
       "\n",
       "               Contact                     Survey Definition  \\\n",
       "0       Niru  Shrestha  Quarterly Client Satisfaction Survey   \n",
       "1       Genie McKinney  Quarterly Client Satisfaction Survey   \n",
       "2  Danielle Kosanovich  Quarterly Client Satisfaction Survey   \n",
       "3     Gina Kiesewetter  Quarterly Client Satisfaction Survey   \n",
       "4         Aissatou Bah  Quarterly Client Satisfaction Survey   \n",
       "\n",
       "                             Center  \\\n",
       "0         Kutztown University SBDC    \n",
       "1                   Penn State SBDC   \n",
       "2     University of Pittsburgh SBDC   \n",
       "3  SF - ST. FRANCIS UNIVERSITY SBDC   \n",
       "4     University of Pittsburgh SBDC   \n",
       "\n",
       "                                             Answers  \n",
       "0      1. Using a 1-10 scale, with a 10 being ver...  \n",
       "1      1. Using a 1-10 scale, with a 10 being ver...  \n",
       "2      1. Using a 1-10 scale, with a 10 being ver...  \n",
       "3      1. Using a 1-10 scale, with a 10 being ver...  \n",
       "4      1. Using a 1-10 scale, with a 10 being ver...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey_df = pd.read_csv('survey_data.csv')\n",
    "survey_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b8c325c6-0071-426c-88ac-a807122138d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "question_count = 4\n",
    "\n",
    "for row_index, row in survey_df.iterrows():\n",
    "    lines = [x.strip() for x in row['Answers'].split('\\n') if x.strip()]  # Remove empty lines\n",
    "    \n",
    "    # Find question indices (lines that start with a number followed by a period)\n",
    "    question_indices = []\n",
    "    for i, line in enumerate(lines):\n",
    "        if re.match(r'^\\d+\\.', line):  # Matches \"1.\", \"2.\", etc.\n",
    "            question_indices.append(i)\n",
    "\n",
    "    question_number = 1\n",
    "    # Extract questions and answers\n",
    "    for i, q_idx in enumerate(question_indices):\n",
    "        question = lines[q_idx][3:].strip()  # Remove \"1. \" prefix\n",
    "        \n",
    "        # Find where the answer ends (either at next question or end of list)\n",
    "        if i + 1 < len(question_indices):\n",
    "            answer_end = question_indices[i + 1]\n",
    "        else:\n",
    "            answer_end = len(lines)\n",
    "        \n",
    "        # Join all answer lines between this question and the next\n",
    "        answer_lines = lines[q_idx + 1:answer_end]\n",
    "        answer = ' '.join(answer_lines)\n",
    "        \n",
    "        # Assign to dataframe\n",
    "        survey_df.at[row_index, f\"Question {question_number} text\"] = question \n",
    "        survey_df.at[row_index, f\"Question {question_number}\"] = answer\n",
    "        question_number += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d2cb0bd6-832d-469a-8796-35c45442ed16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "        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>Date</th>\n",
       "      <th>Client</th>\n",
       "      <th>Contact</th>\n",
       "      <th>Survey Definition</th>\n",
       "      <th>Center</th>\n",
       "      <th>Answers</th>\n",
       "      <th>Question 1 text</th>\n",
       "      <th>Question 1</th>\n",
       "      <th>Question 2 text</th>\n",
       "      <th>Question 2</th>\n",
       "      <th>Question 3 text</th>\n",
       "      <th>Question 3</th>\n",
       "      <th>Question 4 text</th>\n",
       "      <th>Question 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9/29/2025 12:00 AM</td>\n",
       "      <td>CurryZone (KUP270729)</td>\n",
       "      <td>Niru  Shrestha</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>Kutztown University SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "      <td>Using a 1-10 scale, with a 10 being very likel...</td>\n",
       "      <td>10 - Very likely</td>\n",
       "      <td>Working with the SBDC is helping me progress t...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>I am likely to seek assistance from the SBDC a...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>Please leave any comments regarding your exper...</td>\n",
       "      <td>I love how Lorena and Rachel team supported us...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9/29/2025 12:00 AM</td>\n",
       "      <td>Genie McKinney (PS018642)</td>\n",
       "      <td>Genie McKinney</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>Penn State SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "      <td>Using a 1-10 scale, with a 10 being very likel...</td>\n",
       "      <td>10 - Very likely</td>\n",
       "      <td>Working with the SBDC is helping me progress t...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>I am likely to seek assistance from the SBDC a...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>Please leave any comments regarding your exper...</td>\n",
       "      <td>Tom Keiffer is an amazing asset. We could not ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9/28/2025 12:00 AM</td>\n",
       "      <td>Dani's Hair Loft (PI700652)</td>\n",
       "      <td>Danielle Kosanovich</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>University of Pittsburgh SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "      <td>Using a 1-10 scale, with a 10 being very likel...</td>\n",
       "      <td>10 - Very likely</td>\n",
       "      <td>Working with the SBDC is helping me progress t...</td>\n",
       "      <td>Agree</td>\n",
       "      <td>I am likely to seek assistance from the SBDC a...</td>\n",
       "      <td>Agree</td>\n",
       "      <td>Please leave any comments regarding your exper...</td>\n",
       "      <td>Everyone that has helped me has been great!??</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9/25/2025 12:00 AM</td>\n",
       "      <td>First Impressions Early Childhood Development ...</td>\n",
       "      <td>Gina Kiesewetter</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>SF - ST. FRANCIS UNIVERSITY SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "      <td>Using a 1-10 scale, with a 10 being very likel...</td>\n",
       "      <td>10 - Very likely</td>\n",
       "      <td>Working with the SBDC is helping me progress t...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>I am likely to seek assistance from the SBDC a...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>Please leave any comments regarding your exper...</td>\n",
       "      <td>(No response)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9/23/2025 12:00 AM</td>\n",
       "      <td>Sweet Mom Home Day Care (PI704438)</td>\n",
       "      <td>Aissatou Bah</td>\n",
       "      <td>Quarterly Client Satisfaction Survey</td>\n",
       "      <td>University of Pittsburgh SBDC</td>\n",
       "      <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
       "      <td>Using a 1-10 scale, with a 10 being very likel...</td>\n",
       "      <td>10 - Very likely</td>\n",
       "      <td>Working with the SBDC is helping me progress t...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>I am likely to seek assistance from the SBDC a...</td>\n",
       "      <td>Strongly agree</td>\n",
       "      <td>Please leave any comments regarding your exper...</td>\n",
       "      <td>Brent Rondon gives best assistant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Date                                             Client  \\\n",
       "0  9/29/2025 12:00 AM                              CurryZone (KUP270729)   \n",
       "1  9/29/2025 12:00 AM                          Genie McKinney (PS018642)   \n",
       "2  9/28/2025 12:00 AM                        Dani's Hair Loft (PI700652)   \n",
       "3  9/25/2025 12:00 AM  First Impressions Early Childhood Development ...   \n",
       "4  9/23/2025 12:00 AM                 Sweet Mom Home Day Care (PI704438)   \n",
       "\n",
       "               Contact                     Survey Definition  \\\n",
       "0       Niru  Shrestha  Quarterly Client Satisfaction Survey   \n",
       "1       Genie McKinney  Quarterly Client Satisfaction Survey   \n",
       "2  Danielle Kosanovich  Quarterly Client Satisfaction Survey   \n",
       "3     Gina Kiesewetter  Quarterly Client Satisfaction Survey   \n",
       "4         Aissatou Bah  Quarterly Client Satisfaction Survey   \n",
       "\n",
       "                             Center  \\\n",
       "0         Kutztown University SBDC    \n",
       "1                   Penn State SBDC   \n",
       "2     University of Pittsburgh SBDC   \n",
       "3  SF - ST. FRANCIS UNIVERSITY SBDC   \n",
       "4     University of Pittsburgh SBDC   \n",
       "\n",
       "                                             Answers  \\\n",
       "0      1. Using a 1-10 scale, with a 10 being ver...   \n",
       "1      1. Using a 1-10 scale, with a 10 being ver...   \n",
       "2      1. Using a 1-10 scale, with a 10 being ver...   \n",
       "3      1. Using a 1-10 scale, with a 10 being ver...   \n",
       "4      1. Using a 1-10 scale, with a 10 being ver...   \n",
       "\n",
       "                                     Question 1 text        Question 1  \\\n",
       "0  Using a 1-10 scale, with a 10 being very likel...  10 - Very likely   \n",
       "1  Using a 1-10 scale, with a 10 being very likel...  10 - Very likely   \n",
       "2  Using a 1-10 scale, with a 10 being very likel...  10 - Very likely   \n",
       "3  Using a 1-10 scale, with a 10 being very likel...  10 - Very likely   \n",
       "4  Using a 1-10 scale, with a 10 being very likel...  10 - Very likely   \n",
       "\n",
       "                                     Question 2 text      Question 2  \\\n",
       "0  Working with the SBDC is helping me progress t...  Strongly agree   \n",
       "1  Working with the SBDC is helping me progress t...  Strongly agree   \n",
       "2  Working with the SBDC is helping me progress t...           Agree   \n",
       "3  Working with the SBDC is helping me progress t...  Strongly agree   \n",
       "4  Working with the SBDC is helping me progress t...  Strongly agree   \n",
       "\n",
       "                                     Question 3 text      Question 3  \\\n",
       "0  I am likely to seek assistance from the SBDC a...  Strongly agree   \n",
       "1  I am likely to seek assistance from the SBDC a...  Strongly agree   \n",
       "2  I am likely to seek assistance from the SBDC a...           Agree   \n",
       "3  I am likely to seek assistance from the SBDC a...  Strongly agree   \n",
       "4  I am likely to seek assistance from the SBDC a...  Strongly agree   \n",
       "\n",
       "                                     Question 4 text  \\\n",
       "0  Please leave any comments regarding your exper...   \n",
       "1  Please leave any comments regarding your exper...   \n",
       "2  Please leave any comments regarding your exper...   \n",
       "3  Please leave any comments regarding your exper...   \n",
       "4  Please leave any comments regarding your exper...   \n",
       "\n",
       "                                          Question 4  \n",
       "0  I love how Lorena and Rachel team supported us...  \n",
       "1  Tom Keiffer is an amazing asset. We could not ...  \n",
       "2      Everyone that has helped me has been great!??  \n",
       "3                                      (No response)  \n",
       "4                  Brent Rondon gives best assistant  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b377e032-96c2-412b-868c-a408d3ca528b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q1\n",
      "======================\n",
      "Question 1\n",
      "10 - Very likely         759\n",
      "8                         56\n",
      "9                         50\n",
      "7                         16\n",
      "1 - Not at all likely     14\n",
      "5                         11\n",
      "3                         10\n",
      "6                          8\n",
      "4                          6\n",
      "2                          3\n",
      "Name: count, dtype: int64 \n",
      "\n",
      "Q2\n",
      "======================\n",
      "Question 2\n",
      "Strongly agree       624\n",
      "Agree                224\n",
      "Neutral               49\n",
      "Disagree              23\n",
      "Strongly disagree     13\n",
      "Name: count, dtype: int64 \n",
      "\n",
      "Q3\n",
      "======================\n",
      "Question 3\n",
      "Strongly agree       686\n",
      "Agree                182\n",
      "Neutral               40\n",
      "Disagree              14\n",
      "Strongly disagree     11\n",
      "Name: count, dtype: int64 \n",
      "\n",
      "Q4\n",
      "======================\n",
      "Question 4\n",
      "(No response)                                                                                                                                                                                                                                                                                                                                   373\n",
      "None                                                                                                                                                                                                                                                                                                                                              4\n",
      "Excellent                                                                                                                                                                                                                                                                                                                                         2\n",
      "I appreciate that there has been no pressure, only support.  Our small business development has been going slowly due to circumstances out of our control but that does not seem to be a problem at all with our consultants.                                                                                                                     1\n",
      "I would be nowhere without them!                                                                                                                                                                                                                                                                                                                  1\n",
      "                                                                                                                                                                                                                                                                                                                                               ... \n",
      "Thos is a great organization and I would not be where I am today with my small business without the help and information provided by SBDC.                                                                                                                                                                                                        1\n",
      "The kids are great but I have had very limited interactions with them. I guess I thought it would be more than it is.                                                                                                                                                                                                                             1\n",
      "I had an excellent experience working with the SBDC. The advisors were professional, knowledgeable, and very supportive throughout the process. Their guidance gave me valuable insights into business planning and helped me feel more confident moving forward with my goals. I truly appreciate the time and attention given to my needs.      1\n",
      "The help that I’m receiving is for my loans or grants, also learning more about the legal process of owning a business. I’m grateful for the support that I hope to get with everything.                                                                                                                                                          1\n",
      "The agents are knowledgeable and friendly, the webinars available are on current topics and speak in layman's language, making it relatable.                                                                                                                                                                                                      1\n",
      "Name: count, Length: 557, dtype: int64 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Q1\")\n",
    "print(\"======================\")\n",
    "print(survey_df['Question 1'].value_counts(), \"\\n\")\n",
    "\n",
    "print(\"Q2\")\n",
    "print(\"======================\")\n",
    "print(survey_df['Question 2'].value_counts(), \"\\n\")\n",
    "\n",
    "print(\"Q3\")\n",
    "print(\"======================\")\n",
    "print(survey_df['Question 3'].value_counts(), \"\\n\")\n",
    "\n",
    "print(\"Q4\")\n",
    "print(\"======================\")\n",
    "print(survey_df['Question 4'].value_counts(), \"\\n\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7a9713d6-dd8a-44dd-b0d3-2f8348fa9b69",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clean up the answers\n",
    "survey_df['Question 1'] = [int(x[:2]) if len(x) > 2 else int(x) for x in survey_df['Question 1']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "60ead430-7fe5-4a49-b825-c3aaeee378a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Question 1\n",
       "10    759\n",
       "8      56\n",
       "9      50\n",
       "7      16\n",
       "1      14\n",
       "5      11\n",
       "3      10\n",
       "6       8\n",
       "4       6\n",
       "2       3\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey_df['Question 1'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "411d2475-e5c3-4517-8d74-665a39931ec6",
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    {
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       "Center\n",
       "Pittsburgh      118\n",
       "Clarion         104\n",
       "Temple           97\n",
       "Shippensburg     84\n",
       "Bucknell         74\n",
       "Penn State       73\n",
       "Scranton         70\n",
       "Duquesne         61\n",
       "Kutztown         55\n",
       "Gannon           50\n",
       "Lehigh           44\n",
       "Wilkes           37\n",
       "Widener          37\n",
       "St. Francis      19\n",
       "St. Vincent      10\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 9,
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     "output_type": "execute_result"
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    "center_mapping = {\n",
    "    \"University of Pittsburgh SBDC\":\"Pittsburgh\",\n",
    "    \"TE - TEMPLE SBDC\":\"Temple\",\n",
    "    \"Kutztown University SBDC\": \"Kutztown\",\n",
    "    \"Kutztown University SBDC \": \"Kutztown\",\n",
    "    \"K - Kutztown SBDC\":\"Kutztown\",\n",
    "    \"WD - WIDENER SBDC\": \"Widener\",\n",
    "    \"The University of Scranton SBDC\": \"Scranton\",\n",
    "    \"PennWest University Clarion SBDC\":\"Clarion\",\n",
    "    \"WI - WILKES SBDC\":\"Wilkes\",\n",
    "    \"LE - LEHIGH UNIVERSITY SBDC\":\"Lehigh\",\n",
    "    \"G - GANNON SBDC\":\"Gannon\",\n",
    "    \"Penn State SBDC\":\"Penn State\",\n",
    "    \"SH - SHIPPENSBURG SBDC\":\"Shippensburg\",\n",
    "    \"Duquesne University SBDC\":\"Duquesne\",\n",
    "    \"Bucknell SBDC\":\"Bucknell\",\n",
    "    \"SF - ST. FRANCIS UNIVERSITY SBDC\": \"St. Francis\",\n",
    "    \"SV - ST. VINCENT COLLEGE SBDC\":\"St. Vincent\",\n",
    "    \"LE - Bucks County/Lehigh SBDC\":\"Lehigh\",\n",
    "    \"G - Mercer\":\"Gannon\",\n",
    "    \"G - Meadville\":\"Gannon\",\n",
    "    \"SV - Fayette Outreach\":\"St. Vincent\"\n",
    "}\n",
    "\n",
    "survey_df['Center'] = survey_df['Center'].replace(center_mapping)\n",
    "survey_df['Center'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "28cc6d9a-f1be-417d-b4cd-4a17512bf498",
   "metadata": {},
   "outputs": [],
   "source": [
    "average_q1_score = survey_df.groupby('Center')['Question 1'].mean().reset_index()\n",
    "network_wide_q1_score = survey_df['Question 1'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d0d33f56-050c-4da2-bf74-d92b052255f9",
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       "      <td>Bucknell</td>\n",
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       "    <tr>\n",
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       "      <td>9.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Temple</td>\n",
       "      <td>9.000000</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Widener</td>\n",
       "      <td>8.810811</td>\n",
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       "          Center  Question 1\n",
       "0       Bucknell    9.621622\n",
       "1        Clarion    9.451923\n",
       "2       Duquesne    9.852459\n",
       "3         Gannon    9.240000\n",
       "4       Kutztown    8.690909\n",
       "5         Lehigh    8.818182\n",
       "6     Penn State    9.342466\n",
       "7     Pittsburgh    9.669492\n",
       "8       Scranton    9.785714\n",
       "9   Shippensburg    9.690476\n",
       "10   St. Francis    9.842105\n",
       "11   St. Vincent    9.200000\n",
       "12        Temple    9.000000\n",
       "13       Widener    8.810811\n",
       "14        Wilkes    9.540541"
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     "execution_count": 11,
     "metadata": {},
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  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8c10631c-c23f-431b-bda5-02670c188a19",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_responses = survey_df.groupby('Center').size()\n",
    "total_responses = total_responses.reset_index(name='Responses')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0e30aa6b-cb82-4e16-a986-5a8aad812c43",
   "metadata": {},
   "outputs": [
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       "          Center  Responses\n",
       "0       Bucknell         74\n",
       "1        Clarion        104\n",
       "2       Duquesne         61\n",
       "3         Gannon         50\n",
       "4       Kutztown         55\n",
       "5         Lehigh         44\n",
       "6     Penn State         73\n",
       "7     Pittsburgh        118\n",
       "8       Scranton         70\n",
       "9   Shippensburg         84\n",
       "10   St. Francis         19\n",
       "11   St. Vincent         10\n",
       "12        Temple         97\n",
       "13       Widener         37\n",
       "14        Wilkes         37"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(\n",
    "    total_responses, \n",
    "    x='Center',\n",
    "    y='Responses',\n",
    "    text='Responses',\n",
    "    height=500\n",
    ")\n",
    "\n",
    "# Add a total sum of responses\n",
    "grand_total = total_responses['Responses'].sum()\n",
    "fig.add_annotation(xref='paper', yref='paper', \n",
    "                   x=0.0, y=1.03,\n",
    "                   showarrow=False,\n",
    "                   text=f\"{grand_total} total responses\")\n",
    "\n",
    "fig.update_layout(\n",
    "    xaxis_title='Center',  \n",
    "    yaxis_title='Survey Responses',\n",
    "    title='Client Satisfaction Survey Responses Per Center FY 25',             \n",
    "    height=700,\n",
    "    width=1500,\n",
    ")\n",
    "fig.update_traces(showlegend=False, marker_color=\"#71bf44\") \n",
    "fig.show()\n",
    "fig.write_image('survey_response_count.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4d7aed8a-02d1-4c85-b75c-6271146400d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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          "Clarion",
          "Duquesne",
          "Gannon",
          "Kutztown",
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          "Pittsburgh",
          "Scranton",
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          "showarrow": false,
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(average_q1_score, height=500, x='Center', y='Question 1', text='Question 1')\n",
    "fig.update_layout(\n",
    "    xaxis_title='Center',  \n",
    "    yaxis_title='Average',  \n",
    "    title='Average Score FY 25 - How likely is it that you would recommend the SBDC to a friend or colleague? (1-10 scale)',\n",
    "    height=700,\n",
    "    width=1500,\n",
    ")\n",
    "\n",
    "# Add a network wide value\n",
    "fig.add_hline(\n",
    "    y=network_wide_q1_score, \n",
    "    line_dash=\"dash\", \n",
    "    line_color=\"#73e0c6\", \n",
    "    annotation_text=f\"Network Total: {network_wide_q1_score:.2f}\", \n",
    "    annotation_position=\"top right\",\n",
    "    annotation_y=9.5)\n",
    "\n",
    "fig.update_traces(\n",
    "    showlegend=False, \n",
    "    marker_color=\"#197f60\",  \n",
    "    texttemplate='%{text:.2f}'\n",
    ")\n",
    "\n",
    "fig.show()\n",
    "fig.write_image('average_survey_score.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "97c5e1de-c314-4c09-b6fb-d638425d903d",
   "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>Unnamed: 0</th>\n",
       "      <th>Client ID</th>\n",
       "      <th>Client</th>\n",
       "      <th>Last Counseling</th>\n",
       "      <th>Center</th>\n",
       "      <th>Physical Address County</th>\n",
       "      <th>NAICs</th>\n",
       "      <th>Primary NAICS</th>\n",
       "      <th>NAICS_2</th>\n",
       "      <th>PA NAICs Code Percentage</th>\n",
       "      <th>PASBDC NAICs Code Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>WD04170</td>\n",
       "      <td>\\tProinnov@ LLC (WD04170)</td>\n",
       "      <td>9/9/2025 12:00 AM</td>\n",
       "      <td>WD - WIDENER SBDC</td>\n",
       "      <td>Philadelphia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.809955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>WD02759</td>\n",
       "      <td>\"C.J.A.\"/ Crawley Jones and Allen real estate...</td>\n",
       "      <td>10/20/2025 12:00 AM</td>\n",
       "      <td>WD - WIDENER SBDC</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>531390-OtherActivitiesRelatedtoRealEstate\\r\\r\\...</td>\n",
       "      <td>531390 - Other Activities Related to Real Esta...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>2.510127</td>\n",
       "      <td>2.723982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>PS018402</td>\n",
       "      <td>Anjie's Cleaning Bees (PS018402)</td>\n",
       "      <td>10/14/2024 12:00 AM</td>\n",
       "      <td>Penn State SBDC</td>\n",
       "      <td>Lycoming</td>\n",
       "      <td>561720-JanitorialServices\\r\\r\\n\\r\\r\\n</td>\n",
       "      <td>561720 - Janitorial Services \\r\\r\\n</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.605647</td>\n",
       "      <td>4.398190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>C8538</td>\n",
       "      <td>BRENIMAN PROPERTIES, LLC (C8538)</td>\n",
       "      <td>10/17/2025 12:00 AM</td>\n",
       "      <td>PennWest University Clarion SBDC</td>\n",
       "      <td>Clarion</td>\n",
       "      <td>531120-LessorsofNonresidentialBuildings(except...</td>\n",
       "      <td>531120 - Lessors of Nonresidential Buildings (...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>2.510127</td>\n",
       "      <td>2.723982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>BU016079</td>\n",
       "      <td>Civil War Cider Co., Inc. (BU016079)</td>\n",
       "      <td>10/21/2024 12:00 AM</td>\n",
       "      <td>Bucknell SBDC</td>\n",
       "      <td>Union</td>\n",
       "      <td>312130-Wineries\\r\\r\\n\\r\\r\\n</td>\n",
       "      <td>312130 - Wineries \\r\\r\\n</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2.876304</td>\n",
       "      <td>4.995475</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 Client ID                                             Client  \\\n",
       "0           0   WD04170                          \\tProinnov@ LLC (WD04170)   \n",
       "1           1   WD02759   \"C.J.A.\"/ Crawley Jones and Allen real estate...   \n",
       "2           2  PS018402                   Anjie's Cleaning Bees (PS018402)   \n",
       "3           3     C8538                   BRENIMAN PROPERTIES, LLC (C8538)   \n",
       "4           4  BU016079               Civil War Cider Co., Inc. (BU016079)   \n",
       "\n",
       "       Last Counseling                            Center  \\\n",
       "0    9/9/2025 12:00 AM                 WD - WIDENER SBDC   \n",
       "1  10/20/2025 12:00 AM                 WD - WIDENER SBDC   \n",
       "2  10/14/2024 12:00 AM                   Penn State SBDC   \n",
       "3  10/17/2025 12:00 AM  PennWest University Clarion SBDC   \n",
       "4  10/21/2024 12:00 AM                     Bucknell SBDC   \n",
       "\n",
       "  Physical Address County                                              NAICs  \\\n",
       "0            Philadelphia                                                NaN   \n",
       "1                Delaware  531390-OtherActivitiesRelatedtoRealEstate\\r\\r\\...   \n",
       "2                Lycoming              561720-JanitorialServices\\r\\r\\n\\r\\r\\n   \n",
       "3                 Clarion  531120-LessorsofNonresidentialBuildings(except...   \n",
       "4                   Union                        312130-Wineries\\r\\r\\n\\r\\r\\n   \n",
       "\n",
       "                                       Primary NAICS  NAICS_2  \\\n",
       "0                                                NaN      0.0   \n",
       "1  531390 - Other Activities Related to Real Esta...     53.0   \n",
       "2                561720 - Janitorial Services \\r\\r\\n     56.0   \n",
       "3  531120 - Lessors of Nonresidential Buildings (...     53.0   \n",
       "4                           312130 - Wineries \\r\\r\\n     31.0   \n",
       "\n",
       "   PA NAICs Code Percentage  PASBDC NAICs Code Percentage  \n",
       "0                  0.000000                     13.809955  \n",
       "1                  2.510127                      2.723982  \n",
       "2                  3.605647                      4.398190  \n",
       "3                  2.510127                      2.723982  \n",
       "4                  2.876304                      4.995475  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client_list = pd.read_csv('naics_client_list_tagged.csv')\n",
    "client_list.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "25c86814-dd7f-4646-8038-1988e8044688",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Center</th>\n",
       "      <th>Client Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Pennsylvania SBDC Lead Office</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bucknell</td>\n",
       "      <td>487</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Clarion</td>\n",
       "      <td>847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Duquesne</td>\n",
       "      <td>747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EMAP</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gannon</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Indiana County</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Kutztown</td>\n",
       "      <td>1330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Lehigh</td>\n",
       "      <td>565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>PI - Washington County</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Penn State</td>\n",
       "      <td>731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>1154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Scranton</td>\n",
       "      <td>713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shippensburg</td>\n",
       "      <td>728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>St. Francis</td>\n",
       "      <td>285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>St. Vincent</td>\n",
       "      <td>280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Temple</td>\n",
       "      <td>1203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Wharton SBDC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Widener</td>\n",
       "      <td>866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Wilkes</td>\n",
       "      <td>498</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Center  Client Count\n",
       "0    Pennsylvania SBDC Lead Office             6\n",
       "1                         Bucknell           487\n",
       "2                          Clarion           847\n",
       "3                         Duquesne           747\n",
       "4                             EMAP             8\n",
       "5                           Gannon           596\n",
       "6                   Indiana County             4\n",
       "7                         Kutztown          1330\n",
       "8                           Lehigh           565\n",
       "9           PI - Washington County             1\n",
       "10                      Penn State           731\n",
       "11                      Pittsburgh          1154\n",
       "12                        Scranton           713\n",
       "13                    Shippensburg           728\n",
       "14                     St. Francis           285\n",
       "15                     St. Vincent           280\n",
       "16                          Temple          1203\n",
       "17                    Wharton SBDC             1\n",
       "18                         Widener           866\n",
       "19                          Wilkes           498"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_center_name(client_list)\n",
    "client_list = client_list.groupby('Center').size().reset_index(name='Client Count')\n",
    "client_list.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "21751415-6071-4386-a252-ff582acbc632",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>Responses</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bucknell</td>\n",
       "      <td>74</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Clarion</td>\n",
       "      <td>104</td>\n",
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       "      <th>2</th>\n",
       "      <td>Duquesne</td>\n",
       "      <td>61</td>\n",
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       "      <th>3</th>\n",
       "      <td>Gannon</td>\n",
       "      <td>50</td>\n",
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       "      <th>4</th>\n",
       "      <td>Kutztown</td>\n",
       "      <td>55</td>\n",
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      ],
      "text/plain": [
       "     Center  Responses\n",
       "0  Bucknell         74\n",
       "1   Clarion        104\n",
       "2  Duquesne         61\n",
       "3    Gannon         50\n",
       "4  Kutztown         55"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_responses = total_responses\n",
    "total_responses.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3403190f-0c62-4ed8-aa81-bb9922efdfb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_responses = total_responses.merge(client_list, on='Center', how='left')\n",
    "total_responses['Per Client Served'] = total_responses['Responses'] / total_responses['Client Count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "01fc8cc8-317b-4bb8-a4e4-3ae6fbdd8fdc",
   "metadata": {},
   "outputs": [
    {
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       "      <th>3</th>\n",
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       "      <td>1330</td>\n",
       "      <td>0.041353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Lehigh</td>\n",
       "      <td>44</td>\n",
       "      <td>565</td>\n",
       "      <td>0.077876</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Penn State</td>\n",
       "      <td>73</td>\n",
       "      <td>731</td>\n",
       "      <td>0.099863</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>118</td>\n",
       "      <td>1154</td>\n",
       "      <td>0.102253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Scranton</td>\n",
       "      <td>70</td>\n",
       "      <td>713</td>\n",
       "      <td>0.098177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shippensburg</td>\n",
       "      <td>84</td>\n",
       "      <td>728</td>\n",
       "      <td>0.115385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>St. Francis</td>\n",
       "      <td>19</td>\n",
       "      <td>285</td>\n",
       "      <td>0.066667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>St. Vincent</td>\n",
       "      <td>10</td>\n",
       "      <td>280</td>\n",
       "      <td>0.035714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Temple</td>\n",
       "      <td>97</td>\n",
       "      <td>1203</td>\n",
       "      <td>0.080632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Widener</td>\n",
       "      <td>37</td>\n",
       "      <td>866</td>\n",
       "      <td>0.042725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Wilkes</td>\n",
       "      <td>37</td>\n",
       "      <td>498</td>\n",
       "      <td>0.074297</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Center  Responses  Client Count  Per Client Served\n",
       "0       Bucknell         74           487           0.151951\n",
       "1        Clarion        104           847           0.122786\n",
       "2       Duquesne         61           747           0.081660\n",
       "3         Gannon         50           596           0.083893\n",
       "4       Kutztown         55          1330           0.041353\n",
       "5         Lehigh         44           565           0.077876\n",
       "6     Penn State         73           731           0.099863\n",
       "7     Pittsburgh        118          1154           0.102253\n",
       "8       Scranton         70           713           0.098177\n",
       "9   Shippensburg         84           728           0.115385\n",
       "10   St. Francis         19           285           0.066667\n",
       "11   St. Vincent         10           280           0.035714\n",
       "12        Temple         97          1203           0.080632\n",
       "13       Widener         37           866           0.042725\n",
       "14        Wilkes         37           498           0.074297"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_responses.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "77811f70-7d95-4278-bd5c-0b04fb2b3c2f",
   "metadata": {},
   "outputs": [
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_df = total_responses.copy()\n",
    "display_df['Per Client Served'] = display_df['Per Client Served'] * 100\n",
    "\n",
    "fig = px.bar(display_df, x='Center', y='Per Client Served', text='Per Client Served', height=500)\n",
    "fig.update_layout(\n",
    "    xaxis_title='Center',  \n",
    "    yaxis_title='Survey Responses Per 100 Clients Served',  \n",
    "    title='Survey Responses Per 100 Clients Served FY 25',             \n",
    "    height=700,\n",
    "    width=1500,\n",
    ")\n",
    "fig.update_traces(showlegend=False, marker_color=\"#71bf44\", texttemplate=\"%{text:.2f}\") \n",
    "fig.show()\n",
    "fig.write_image('survey_response_perclient.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6fee2f8-d51d-4401-bfa6-e816805dcfb5",
   "metadata": {},
   "source": [
    "# Investigating Net Promoter Score\n",
    "---\n",
    "\"NPS is calculated by subtracting the percentage of customers who answer the NPS question with a 6 or lower (known as ‘detractors’) from the percentage of customers who answer with a 9 or 10 (known as ‘promoters’).\"\n",
    " \n",
    "\"Net Promoter Score® is always expressed as a number from -100 to 100; the score is negative when a company has more detractors than promoters, and positive in the opposite situation.\"\n",
    " \n",
    "https://contentsquare.com/guides/net-promoter-score/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "6e8a6116-1f74-4152-9497-53dd8ee254c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "52 detractors and 809 promoters\n",
      "Network wide NPS: 87.92102206736354\n"
     ]
    },
    {
     "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>Center</th>\n",
       "      <th>Detractors</th>\n",
       "      <th>Promoters</th>\n",
       "      <th>NPS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bucknell</td>\n",
       "      <td>2.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>94.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Clarion</td>\n",
       "      <td>4.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>91.304348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Duquesne</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gannon</td>\n",
       "      <td>5.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>78.723404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kutztown</td>\n",
       "      <td>7.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>71.428571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Center  Detractors  Promoters         NPS\n",
       "0  Bucknell         2.0       68.0   94.285714\n",
       "1   Clarion         4.0       88.0   91.304348\n",
       "2  Duquesne         0.0       59.0  100.000000\n",
       "3    Gannon         5.0       42.0   78.723404\n",
       "4  Kutztown         7.0       42.0   71.428571"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculating the network wide NPS\n",
    "total_detractors_count = survey_df[survey_df['Question 1'] <= 6].shape[0]\n",
    "total_promoters_count = survey_df[survey_df['Question 1'] >= 9].shape[0]\n",
    "total_responses = total_detractors_count + total_promoters_count\n",
    "\n",
    "network_nps = ((total_promoters_count / total_responses) - (total_detractors_count / total_responses)) * 100\n",
    "print(total_detractors_count, \"detractors and\", total_promoters_count, \"promoters\")\n",
    "print(\"Network wide NPS:\", network_nps)\n",
    "\n",
    "center_group_df = survey_df[['Center', 'Question 1']].groupby('Center')\n",
    "\n",
    "nps_df = pd.DataFrame({\"Center\":[], \"Detractors\":[], \"Promoters\":[], \"NPS\":[]})\n",
    "for name, group in center_group_df:\n",
    "    detractors_count = group[group['Question 1'] <= 6].shape[0]\n",
    "    promoters_count = group[group['Question 1'] >= 9].shape[0]\n",
    "    total = detractors_count + promoters_count\n",
    "    nps = ((promoters_count / total) - (detractors_count / total)) * 100\n",
    "\n",
    "    row = pd.DataFrame({\"Center\":[name], \"Detractors\": [detractors_count], \"Promoters\": [promoters_count], \"NPS\": [nps]})\n",
    "\n",
    "    nps_df = pd.concat([nps_df, row], ignore_index=True)\n",
    "\n",
    "\n",
    "nps_df.to_csv(\"NPS_by_center.csv\")\n",
    "nps_df.head()"
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(nps_df, x='Center', y='NPS', text='NPS', title=\"Net Promoter Score (NPS) By Center FY 25\", height=600, width=1250)\n",
    "\n",
    "fig.update_traces(showlegend=False, marker_color=\"#73e0c6\", texttemplate=\"%{text:.2f}\") \n",
    "\n",
    "fig.add_hline(\n",
    "    y=network_nps, \n",
    "    line_dash=\"dash\", \n",
    "    line_color=\"#004649\", \n",
    "    annotation_text=f\"Network NPS: {network_nps:.2f}\", \n",
    "    annotation_position=\"bottom right\",\n",
    "    )\n",
    "\n",
    "fig.add_annotation(xref='paper', yref='paper', \n",
    "                   x=0.0, y=1.08,\n",
    "                   showarrow=False,\n",
    "                   text=f'NOTE: NPS is calculated as the difference between promoter responses (9 or 10) and the % of detractor responses (1-6).<br> Participents are responding to the question \"How likely is it that you would recommend the SBDC to a friend or colleague? (1-10 scale)\"',\n",
    "                  align='left')\n",
    "\n",
    "\n",
    "fig.write_image(\"nps_center.png\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e055c03a-846b-4f44-a39b-16b699f18869",
   "metadata": {},
   "source": [
    "# Making the word document\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f1965c2b-98d2-437b-9700-d72a0e34572e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import sys\n",
    "from docx import Document\n",
    "from docx.shared import Inches, Pt, RGBColor\n",
    "from docx.enum.text import WD_ALIGN_PARAGRAPH\n",
    "\n",
    "notebook_dir = Path().resolve()  # Current working directory\n",
    "project_root = notebook_dir.parent  # Goes up to root/\n",
    "sys.path.insert(0, str(project_root / \"libs\"))\n",
    "\n",
    "from word_library import WordDocumentBuilder, PageConfig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5272d714-3799-4621-bf81-f34e057f3af8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def client_survey_analysis_page_one(builder: WordDocumentBuilder, responses_count_chart:str=\"survey_response_count.png\", reccomendation_chart:str=\"average_survey_score.png\", per_client_chart:str=\"survey_response_perclient.png\", nps_chart:str=\"nps_center.png\"):\n",
    "    for section in builder.doc.sections:\n",
    "        section.top_margin = Inches(0.5)\n",
    "        section.bottom_margin = Inches(0.5)\n",
    "        section.left_margin = Inches(0.5)\n",
    "        section.right_margin = Inches(0.5)\n",
    "        \n",
    "    heading_paragraph = builder.doc.add_paragraph()\n",
    "\n",
    "    # TODO: replace this part with using the section numbners of the document builder\n",
    "    heading_run = heading_paragraph.add_run(f\"1.10 Client Satisfaction Analysis\") \n",
    "    heading_run.font.name = 'Futera'\n",
    "    heading_run.font.size = Pt(12)\n",
    "    heading_run.font.color.rgb = RGBColor(113, 191, 68)\n",
    "    heading_run.bold = True\n",
    "\n",
    "\n",
    "    overview_table = builder.doc.add_table(rows=2, cols=2)\n",
    "\n",
    "    row1_cells = overview_table.rows[0].cells\n",
    "    row2_cells = overview_table.rows[1].cells\n",
    "\n",
    "    # Response chart section\n",
    "    response_chart_paragrah = row1_cells[0].paragraphs[0]\n",
    "    response_chart_run = response_chart_paragrah.add_run()\n",
    "    response_chart_run.add_picture(responses_count_chart, width=Inches(4), height=Inches(2))\n",
    "\n",
    "    responses_count_note_paragraph = row2_cells[0].paragraphs[0]\n",
    "    note_run = responses_count_note_paragraph.add_run(f\"Figure {\"1.10\"}.{builder.figure_number + 1} shows the count of servey responses for clients per center.\") \n",
    "    note_run.font.name = 'Futera'\n",
    "    note_run.font.size = Pt(7)\n",
    "    note_run.font.color.rgb = RGBColor(15, 27, 38)\n",
    "    note_run.bold = True\n",
    "    \n",
    "    builder.figure_number += 1\n",
    "\n",
    "    # Response per client section\n",
    "    perclient_chart_paragrah = row1_cells[1].paragraphs[0]\n",
    "    perclient_chart_run = perclient_chart_paragrah.add_run()\n",
    "    perclient_chart_run.add_picture(per_client_chart, width=Inches(4), height=Inches(2))\n",
    "\n",
    "    perclient_note_paragraph = row2_cells[1].paragraphs[0]\n",
    "    note_run = perclient_note_paragraph.add_run(f\"Figure {\"1.10\"}.{builder.figure_number + 1} shows the count of servey responses per clinet served per center.\") \n",
    "    note_run.font.name = 'Futera'\n",
    "    note_run.font.size = Pt(7)\n",
    "    note_run.font.color.rgb = RGBColor(15, 27, 38)\n",
    "    note_run.bold = True\n",
    "    \n",
    "    builder.figure_number += 1\n",
    "\n",
    "    # Reccomendation chart section with NPS\n",
    "\n",
    "    \n",
    "    q1_table = builder.doc.add_table(rows=2, cols=2)\n",
    "\n",
    "    row1_cells = q1_table.rows[0].cells\n",
    "    row2_cells = q1_table.rows[1].cells\n",
    "\n",
    "    # Response chart section\n",
    "    rec_chart_paragrah = row1_cells[0].paragraphs[0]\n",
    "    rec_chart_run = rec_chart_paragrah.add_run()\n",
    "    rec_chart_run.add_picture(reccomendation_chart, width=Inches(4), height=Inches(2))\n",
    "\n",
    "    rec_count_note_paragraph = row2_cells[0].paragraphs[0]\n",
    "    rec_run = rec_count_note_paragraph.add_run(f\"Figure {\"1.10\"}.{builder.figure_number + 1} shows how clients responded to the listed question.\") \n",
    "    rec_run.font.name = 'Futera'\n",
    "    rec_run.font.size = Pt(7)\n",
    "    rec_run.font.color.rgb = RGBColor(15, 27, 38)\n",
    "    rec_run.bold = True\n",
    "    \n",
    "    builder.figure_number += 1\n",
    "\n",
    "    # Response per client section\n",
    "    nps_chart_paragrah = row1_cells[1].paragraphs[0]\n",
    "    nps_chart_run = nps_chart_paragrah.add_run()\n",
    "    nps_chart_run.add_picture(nps_chart, width=Inches(4), height=Inches(2))\n",
    "\n",
    "    nps_note_paragraph = row2_cells[1].paragraphs[0]\n",
    "    nps_run = nps_note_paragraph.add_run(f\"Figure {\"1.10\"}.{builder.figure_number + 1} shows the NPS calculated for each center. See https://contentsquare.com/guides/net-promoter-score/ for a more in-depth explaination.\") \n",
    "    nps_run.font.name = 'Futera'\n",
    "    nps_run.font.size = Pt(7)\n",
    "    nps_run.font.color.rgb = RGBColor(15, 27, 38)\n",
    "    nps_run.bold = True\n",
    "    \n",
    "    builder.figure_number += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0a554cf9-a733-4ec1-92b0-e58af2c6f963",
   "metadata": {},
   "outputs": [],
   "source": [
    "pages = [\n",
    "    PageConfig(client_survey_analysis_page_one, add_page_break=False),\n",
    "]\n",
    "\n",
    "builder = WordDocumentBuilder()\n",
    "\n",
    "doc = builder.create_document(\n",
    "    pages,\n",
    "    \"section1_10.docx\"\n",
    ")"
   ]
  }
 ],
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