5451 lines
492 KiB
Plaintext
5451 lines
492 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "8c6d5a05-21ea-4f26-adeb-35148f7d8dba",
|
||
"metadata": {},
|
||
"outputs": [],
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||
"source": [
|
||
"import pandas as pd\n",
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||
"import plotly.graph_objects as go\n",
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||
"import plotly.express as px\n",
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"\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",
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"\n",
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"notebook_dir = Path().resolve() # Current working directory\n",
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||
"project_root = notebook_dir.parent.parent # Goes up to root/\n",
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"sys.path.insert(0, str(project_root / \"libs\"))\n",
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"\n",
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"from word_library import WordDocumentBuilder, PageConfig\n",
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"from pasbdc_data_cleaning import clean_center_name "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "54121b33-2152-44ed-8438-cf099a6fa2c2",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<style scoped>\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Date</th>\n",
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" <th>Client</th>\n",
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" <th>Contact</th>\n",
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" <th>Survey Definition</th>\n",
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" <th>Center</th>\n",
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" <th>Answers</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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||
" <th>0</th>\n",
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" <td>9/29/2025 12:00 AM</td>\n",
|
||
" <td>CurryZone (KUP270729)</td>\n",
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||
" <td>Niru Shrestha</td>\n",
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||
" <td>Quarterly Client Satisfaction Survey</td>\n",
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" <td>Kutztown University SBDC</td>\n",
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" <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>9/29/2025 12:00 AM</td>\n",
|
||
" <td>Genie McKinney (PS018642)</td>\n",
|
||
" <td>Genie McKinney</td>\n",
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" <td>Quarterly Client Satisfaction Survey</td>\n",
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" <td>Penn State SBDC</td>\n",
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||
" <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",
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||
" <td>Quarterly Client Satisfaction Survey</td>\n",
|
||
" <td>University of Pittsburgh SBDC</td>\n",
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||
" <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
|
||
" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <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",
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" <td>SF - ST. FRANCIS UNIVERSITY SBDC</td>\n",
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||
" <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
|
||
" </tr>\n",
|
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" <tr>\n",
|
||
" <th>4</th>\n",
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||
" <td>9/23/2025 12:00 AM</td>\n",
|
||
" <td>Sweet Mom Home Day Care (PI704438)</td>\n",
|
||
" <td>Aissatou Bah</td>\n",
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||
" <td>Quarterly Client Satisfaction Survey</td>\n",
|
||
" <td>University of Pittsburgh SBDC</td>\n",
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" <td>1. Using a 1-10 scale, with a 10 being ver...</td>\n",
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||
" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"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",
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||
"\n",
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||
" Answers \n",
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||
"0 1. Using a 1-10 scale, with a 10 being ver... \n",
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||
"1 1. Using a 1-10 scale, with a 10 being ver... \n",
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"2 1. Using a 1-10 scale, with a 10 being ver... \n",
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||
"3 1. Using a 1-10 scale, with a 10 being ver... \n",
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||
"4 1. Using a 1-10 scale, with a 10 being ver... "
|
||
]
|
||
},
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||
"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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||
],
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"source": [
|
||
"survey_df = pd.read_csv('survey_data.csv')\n",
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||
"survey_df.head()"
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]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 3,
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||
"id": "b8c325c6-0071-426c-88ac-a807122138d8",
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||
"metadata": {},
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||
"outputs": [],
|
||
"source": [
|
||
"import re\n",
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||
"\n",
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||
"for row_index, row in survey_df.iterrows():\n",
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||
" lines = [x.strip() for x in row['Answers'].split('\\n') if x.strip()] # Remove empty lines\n",
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||
" \n",
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||
" # Find question indices (lines that start with a number followed by a period)\n",
|
||
" question_indices = []\n",
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||
" for i, line in enumerate(lines):\n",
|
||
" if re.match(r'^\\d+\\.', line): # Matches \"1.\", \"2.\", etc.\n",
|
||
" question_indices.append(i)\n",
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||
"\n",
|
||
" question_number = 1\n",
|
||
" # Extract questions and answers\n",
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||
" 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",
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||
" \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",
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||
" \n",
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||
" # Assign to dataframe\n",
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||
" 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"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 4,
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||
"id": "d2cb0bd6-832d-469a-8796-35c45442ed16",
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"metadata": {},
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{
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" <th></th>\n",
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||
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||
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|
||
" <th>Contact</th>\n",
|
||
" <th>Survey Definition</th>\n",
|
||
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|
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" <th>Question 1 text</th>\n",
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" <th>Question 1</th>\n",
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" <th>Question 2 text</th>\n",
|
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" <th>Question 2</th>\n",
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" <th>Question 3 text</th>\n",
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" <th>Question 3</th>\n",
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||
" <tbody>\n",
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" <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": 4,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"survey_df.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
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|
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"id": "9c546f44-b3af-4dad-8e36-6a3e1cafc055",
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||
"metadata": {},
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"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"======================\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": 6,
|
||
"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": 7,
|
||
"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": 7,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"survey_df['Question 1'].value_counts()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"id": "411d2475-e5c3-4517-8d74-665a39931ec6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"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,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"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",
|
||
"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>Center</th>\n",
|
||
" <th>Question 1</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Bucknell</td>\n",
|
||
" <td>9.621622</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Clarion</td>\n",
|
||
" <td>9.451923</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Duquesne</td>\n",
|
||
" <td>9.852459</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Gannon</td>\n",
|
||
" <td>9.240000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Kutztown</td>\n",
|
||
" <td>8.690909</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>Lehigh</td>\n",
|
||
" <td>8.818182</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>Penn State</td>\n",
|
||
" <td>9.342466</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>Pittsburgh</td>\n",
|
||
" <td>9.669492</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>Scranton</td>\n",
|
||
" <td>9.785714</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>Shippensburg</td>\n",
|
||
" <td>9.690476</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>St. Francis</td>\n",
|
||
" <td>9.842105</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>St. Vincent</td>\n",
|
||
" <td>9.200000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>Temple</td>\n",
|
||
" <td>9.000000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>Widener</td>\n",
|
||
" <td>8.810811</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>Wilkes</td>\n",
|
||
" <td>9.540541</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" 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"
|
||
]
|
||
},
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"average_q1_score"
|
||
]
|
||
},
|
||
{
|
||
"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": [
|
||
{
|
||
"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>Responses</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Bucknell</td>\n",
|
||
" <td>74</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Clarion</td>\n",
|
||
" <td>104</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Duquesne</td>\n",
|
||
" <td>61</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Gannon</td>\n",
|
||
" <td>50</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Kutztown</td>\n",
|
||
" <td>55</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>Lehigh</td>\n",
|
||
" <td>44</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>Penn State</td>\n",
|
||
" <td>73</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>Pittsburgh</td>\n",
|
||
" <td>118</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>Scranton</td>\n",
|
||
" <td>70</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>Shippensburg</td>\n",
|
||
" <td>84</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>St. Francis</td>\n",
|
||
" <td>19</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>St. Vincent</td>\n",
|
||
" <td>10</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>Temple</td>\n",
|
||
" <td>97</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>Widener</td>\n",
|
||
" <td>37</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>Wilkes</td>\n",
|
||
" <td>37</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" 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"
|
||
]
|
||
},
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"total_responses"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "7db6f7c5-4690-45d9-b947-115dd665769e",
|
||
"metadata": {},
|
||
"outputs": [
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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": {
|
||
"application/vnd.plotly.v1+json": {
|
||
"config": {
|
||
"plotlyServerURL": "https://plot.ly"
|
||
},
|
||
"data": [
|
||
{
|
||
"hovertemplate": "Center=%{x}<br>Question 1=%{text}<extra></extra>",
|
||
"legendgroup": "",
|
||
"marker": {
|
||
"color": "#197f60",
|
||
"pattern": {
|
||
"shape": ""
|
||
}
|
||
},
|
||
"name": "",
|
||
"orientation": "v",
|
||
"showlegend": false,
|
||
"text": {
|
||
"bdata": "5LNuMEU+I0B2Yid2YuciQCouGYJ1tCNAexSuR+F6IkBi7RvWvmEhQKOLLrrooiFA9erVq1evIkDDSd2Xx1YjQCVJkiRJkiNAGIZhGIZhI0DzGsprKK8jQGZmZmZmZiJAAAAAAAAAIkDyWTeYIp8hQEyRz7rBFCNA",
|
||
"dtype": "f8"
|
||
},
|
||
"textposition": "auto",
|
||
"texttemplate": "%{text:.2f}",
|
||
"type": "bar",
|
||
"x": [
|
||
"Bucknell",
|
||
"Clarion",
|
||
"Duquesne",
|
||
"Gannon",
|
||
"Kutztown",
|
||
"Lehigh",
|
||
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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": 16,
|
||
"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": 16,
|
||
"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": 17,
|
||
"id": "25c86814-dd7f-4646-8038-1988e8044688",
|
||
"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>Center</th>\n",
|
||
" <th>Client Count</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Bucknell</td>\n",
|
||
" <td>487</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Clarion</td>\n",
|
||
" <td>847</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Duquesne</td>\n",
|
||
" <td>747</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Gannon</td>\n",
|
||
" <td>596</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Indiana County</td>\n",
|
||
" <td>4</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>Kutztown</td>\n",
|
||
" <td>1330</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>Lead Office</td>\n",
|
||
" <td>14</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>Lehigh</td>\n",
|
||
" <td>565</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>PI - Washington County</td>\n",
|
||
" <td>1</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>Penn State</td>\n",
|
||
" <td>731</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>Pittsburgh</td>\n",
|
||
" <td>1154</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>Scranton</td>\n",
|
||
" <td>713</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>Shippensburg</td>\n",
|
||
" <td>728</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>St. Francis</td>\n",
|
||
" <td>285</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>St. Vincent</td>\n",
|
||
" <td>280</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>Temple</td>\n",
|
||
" <td>1203</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>16</th>\n",
|
||
" <td>Wharton SBDC</td>\n",
|
||
" <td>1</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17</th>\n",
|
||
" <td>Widener</td>\n",
|
||
" <td>866</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>18</th>\n",
|
||
" <td>Wilkes</td>\n",
|
||
" <td>498</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Center Client Count\n",
|
||
"0 Bucknell 487\n",
|
||
"1 Clarion 847\n",
|
||
"2 Duquesne 747\n",
|
||
"3 Gannon 596\n",
|
||
"4 Indiana County 4\n",
|
||
"5 Kutztown 1330\n",
|
||
"6 Lead Office 14\n",
|
||
"7 Lehigh 565\n",
|
||
"8 PI - Washington County 1\n",
|
||
"9 Penn State 731\n",
|
||
"10 Pittsburgh 1154\n",
|
||
"11 Scranton 713\n",
|
||
"12 Shippensburg 728\n",
|
||
"13 St. Francis 285\n",
|
||
"14 St. Vincent 280\n",
|
||
"15 Temple 1203\n",
|
||
"16 Wharton SBDC 1\n",
|
||
"17 Widener 866\n",
|
||
"18 Wilkes 498"
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"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": 20,
|
||
"id": "21751415-6071-4386-a252-ff582acbc632",
|
||
"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>Center</th>\n",
|
||
" <th>Responses</th>\n",
|
||
" <th>Client Count</th>\n",
|
||
" <th>Per Client Served</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Bucknell</td>\n",
|
||
" <td>74</td>\n",
|
||
" <td>487</td>\n",
|
||
" <td>0.151951</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Clarion</td>\n",
|
||
" <td>104</td>\n",
|
||
" <td>847</td>\n",
|
||
" <td>0.122786</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Duquesne</td>\n",
|
||
" <td>61</td>\n",
|
||
" <td>747</td>\n",
|
||
" <td>0.081660</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Gannon</td>\n",
|
||
" <td>50</td>\n",
|
||
" <td>596</td>\n",
|
||
" <td>0.083893</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Kutztown</td>\n",
|
||
" <td>55</td>\n",
|
||
" <td>1330</td>\n",
|
||
" <td>0.041353</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"
|
||
]
|
||
},
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"total_responses = total_responses\n",
|
||
"total_responses.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"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": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" 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>Responses</th>\n",
|
||
" <th>Client Count</th>\n",
|
||
" <th>Per Client Served</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Bucknell</td>\n",
|
||
" <td>74</td>\n",
|
||
" <td>487</td>\n",
|
||
" <td>0.151951</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Clarion</td>\n",
|
||
" <td>104</td>\n",
|
||
" <td>847</td>\n",
|
||
" <td>0.122786</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Duquesne</td>\n",
|
||
" <td>61</td>\n",
|
||
" <td>747</td>\n",
|
||
" <td>0.081660</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Gannon</td>\n",
|
||
" <td>50</td>\n",
|
||
" <td>596</td>\n",
|
||
" <td>0.083893</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Kutztown</td>\n",
|
||
" <td>55</td>\n",
|
||
" <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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>Penn State</td>\n",
|
||
" <td>73</td>\n",
|
||
" <td>731</td>\n",
|
||
" <td>0.099863</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
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" <tr>\n",
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" <th>8</th>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>14</th>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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||
" Center Responses Client Count Per Client Served\n",
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"0 Bucknell 74 487 0.151951\n",
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"1 Clarion 104 847 0.122786\n",
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"2 Duquesne 61 747 0.081660\n",
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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",
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" <td>78.723404</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Kutztown</td>\n",
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" <td>7.0</td>\n",
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" <td>42.0</td>\n",
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" <td>71.428571</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
|
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" Center Detractors Promoters NPS\n",
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"0 Bucknell 2.0 68.0 94.285714\n",
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"1 Clarion 4.0 88.0 91.304348\n",
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"2 Duquesne 0.0 59.0 100.000000\n",
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"3 Gannon 5.0 42.0 78.723404\n",
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"4 Kutztown 7.0 42.0 71.428571"
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]
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},
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Calculating the network wide NPS\n",
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"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",
|
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"total_responses = total_detractors_count + total_promoters_count\n",
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"\n",
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||
"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",
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||
"\n",
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"center_group_df = survey_df[['Center', 'Question 1']].groupby('Center')\n",
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"\n",
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"nps_df = pd.DataFrame({\"Center\":[], \"Detractors\":[], \"Promoters\":[], \"NPS\":[]})\n",
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"for name, group in center_group_df:\n",
|
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" detractors_count = group[group['Question 1'] <= 6].shape[0]\n",
|
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" promoters_count = group[group['Question 1'] >= 9].shape[0]\n",
|
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" total = detractors_count + promoters_count\n",
|
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" nps = ((promoters_count / total) - (detractors_count / total)) * 100\n",
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"\n",
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" row = pd.DataFrame({\"Center\":[name], \"Detractors\": [detractors_count], \"Promoters\": [promoters_count], \"NPS\": [nps]})\n",
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"\n",
|
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" nps_df = pd.concat([nps_df, row], ignore_index=True)\n",
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"\n",
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"\n",
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"nps_df.to_csv(\"NPS_by_center.csv\")\n",
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]
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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",
|
||
")"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.13.7"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|