{ "cells": [ { "cell_type": "code", "execution_count": 65, "id": "93c479fa-6bf3-427a-80e2-c421edf4a2e6", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import plotly.express as px\n", "from pathlib import Path\n", "import sys\n", "\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": 66, "id": "cb1dce41-696a-42b7-a67f-aa020471f166", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Unnamed: 0Clientlevel_1Milestone DateCounselorTypeAffirmationAttribution DateAttribution SourceClient IDCenterHad DuplicateDuplicate NotesDuplicate DatesDocumentation Level
01A&R CDLC LLC. (KUP270951)272025-08-11 00:00:00Kieke, RobertBus Strt Impctemail from clientNaNEmail from ClientKUP270951KutztownTrueMerged from 2 rowsNaNDocumented
12ASAP Locks and Lead LLC (KUP270536)1052025-03-12 00:00:00Springer, AaronBus Strt ImpcteCenter (allservicesandproducts@gmail.com)2025-03-12eCenterKUP270536KutztownTrueMerged from 2 rowsNaNDocumented
23Affirmative Housing Services (KUP270388)1532025-01-03 00:00:00Bravo, LorenaBus Strt ImpcteCenter (cheryl.tschopp@gmail.com)2025-01-09eCenterKUP270388KutztownTrueMerged from 2 rows2025-01-09Documented
34Archwood salves and soapery llc (KUP270725)12025-09-29 00:00:00Asiedu, LouisBus Strt ImpctNaNNaNNaNKUP270725KutztownFalseNo duplicatesNaNNot Documented
45B&E Excelsior LLC (KUP271035)92025-09-22 00:00:00DiVecchio, MichaelBus Strt ImpctNaNNaNNaNKUP271035KutztownFalseNo duplicatesNaNNot Documented
\n", "
" ], "text/plain": [ " Unnamed: 0 Client level_1 \\\n", "0 1 A&R CDLC LLC. (KUP270951) 27 \n", "1 2 ASAP Locks and Lead LLC (KUP270536) 105 \n", "2 3 Affirmative Housing Services (KUP270388) 153 \n", "3 4 Archwood salves and soapery llc (KUP270725) 1 \n", "4 5 B&E Excelsior LLC (KUP271035) 9 \n", "\n", " Milestone Date Counselor Type \\\n", "0 2025-08-11 00:00:00 Kieke, Robert Bus Strt Impct \n", "1 2025-03-12 00:00:00 Springer, Aaron Bus Strt Impct \n", "2 2025-01-03 00:00:00 Bravo, Lorena Bus Strt Impct \n", "3 2025-09-29 00:00:00 Asiedu, Louis Bus Strt Impct \n", "4 2025-09-22 00:00:00 DiVecchio, Michael Bus Strt Impct \n", "\n", " Affirmation Attribution Date \\\n", "0 email from client NaN \n", "1 eCenter (allservicesandproducts@gmail.com) 2025-03-12 \n", "2 eCenter (cheryl.tschopp@gmail.com) 2025-01-09 \n", "3 NaN NaN \n", "4 NaN NaN \n", "\n", " Attribution Source Client ID Center Had Duplicate Duplicate Notes \\\n", "0 Email from Client KUP270951 Kutztown True Merged from 2 rows \n", "1 eCenter KUP270536 Kutztown True Merged from 2 rows \n", "2 eCenter KUP270388 Kutztown True Merged from 2 rows \n", "3 NaN KUP270725 Kutztown False No duplicates \n", "4 NaN KUP271035 Kutztown False No duplicates \n", "\n", " Duplicate Dates Documentation Level \n", "0 NaN Documented \n", "1 NaN Documented \n", "2 2025-01-09 Documented \n", "3 NaN Not Documented \n", "4 NaN Not Documented " ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nbs_df = pd.read_csv('merged_nbs_data.csv')\n", "mask = nbs_df['Milestone Date'].between('2024-10-01', '2025-09-30')\n", "nbs_df = nbs_df[mask]\n", "\n", "center_translation_table = {\n", " \"gannon\":\"Gannon\", \n", "\t\"upitt\":\"Pittsburg\",\n", "\t\"duquesne\":\"Duquesne\", \n", "\t\"psu\":\"Penn State\", \n", "\t\"bucknell\":\"Bucknell\", \n", "\t\"lehigh\":\"Lehigh\", \n", "\t\"kutztown\":\"Kutztown\", \n", "\t\"stfrancis\":\"St. Francis\", \n", "\t\"wilkes\":\"Wilkes\", \n", "\t\"temple\":\"Temple\", \n", "\t\"pennwest\":\"Clarion\", \n", "\t\"widener\":\"Widener\", \n", "\t\"scranton\":\"Scranton\", \n", "\t\"shippensburg\":\"Shippensburg\", \n", "\t\"stvincent\":\"St. Vincent\",\n", " \n", "}\n", "\n", "def fix_center(series):\n", " series['Center'] = center_translation_table[series['Center']]\n", " return series\n", "\n", "nbs_df = nbs_df.apply(fix_center, axis=1)\n", "\n", "nbs_df['Center'].value_counts()\n", "nbs_df.head()" ] }, { "cell_type": "code", "execution_count": 67, "id": "e4dc9aca-5ab1-4c78-baf7-5835a3624793", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Documentation Level=Documented
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"#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "New Business Start Attributions Per Center FY 25" }, "width": 1500, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Center" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Attribution Counts" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "agg_df = nbs_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\n", "\n", "fig = px.bar(\n", " agg_df,\n", " x='Center',\n", " y='Count',\n", " color='Documentation Level',\n", " text='Count',\n", " color_discrete_sequence=['#71bf44', '#ffba31', '#004649'],\n", ")\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Attribution Counts', \n", " title='New Business Start Attributions Per Center FY 25', \n", " height=700,\n", " width=1500,\n", " margin=dict(r=470)\n", ")\n", "\n", "fig.add_annotation(x=1.5, y=0.0, xref='paper', yref='paper', showarrow=False, align='left',\n", " text=\"NOTE:Documentation levels were determined as follows.

\"\n", " \"Documented:There is a non-blank, non-'Requested on eCenter'
attribution source with a value in the affirmation column. If the
attribution source is eCenter, then no value is required in the
affirmation column as this is a data entry automatically generated
by Neoserra.

\"\n", " \"Has documentation but not in correct spot: There is a non-blank,
non-'Requested on eCenter' attribution source, but no value in the
affirmation column

\"\n", " \"Not Documented:There is a non-blank, non-'Requested on eCenter'
attribution source with a value in the affirmation column. If the attribution
source is eCenter, then no value is required in the affirmation column.\"\n", " )\n", "\n", "fig.write_image('nbs_attribution_count_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 102, "id": "dccee2ab-1357-4558-a99d-a23b25c3d1aa", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CenterTotalDocumented CountPercent Documented
0Bucknell367.00.194444
1Clarion7266.00.916667
2Duquesne5320.00.377358
3Gannon4023.00.575000
4Kutztown11632.00.275862
5Lehigh3717.00.459459
6Penn State3127.00.870968
7Pittsburg5919.00.322034
8Scranton7011.00.157143
9Shippensburg606.00.100000
10St. Francis2014.00.700000
11St. Vincent200.00.000000
12Temple7112.00.169014
13Widener3819.00.500000
14Wilkes3013.00.433333
15Network Total753286.00.379814
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" ], "text/plain": [ " Center Total Documented Count Percent Documented\n", "0 Bucknell 36 7.0 0.194444\n", "1 Clarion 72 66.0 0.916667\n", "2 Duquesne 53 20.0 0.377358\n", "3 Gannon 40 23.0 0.575000\n", "4 Kutztown 116 32.0 0.275862\n", "5 Lehigh 37 17.0 0.459459\n", "6 Penn State 31 27.0 0.870968\n", "7 Pittsburg 59 19.0 0.322034\n", "8 Scranton 70 11.0 0.157143\n", "9 Shippensburg 60 6.0 0.100000\n", "10 St. Francis 20 14.0 0.700000\n", "11 St. Vincent 20 0.0 0.000000\n", "12 Temple 71 12.0 0.169014\n", "13 Widener 38 19.0 0.500000\n", "14 Wilkes 30 13.0 0.433333\n", "15 Network Total 753 286.0 0.379814" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\n", "nbs_documented = agg_df[agg_df['Documentation Level'] == 'Documented'].groupby('Center')['Count'].sum()\n", "\n", "nbs_total = agg_df.groupby('Center')['Count'].sum() \n", "\n", "\n", "director_confirmed = 0\n", "\n", "combined_df = pd.DataFrame({'Total': nbs_total, 'Documented Count':nbs_documented})\n", "\n", "combined_df['Documented Count'] = combined_df['Documented Count'].fillna(0)\n", "\n", "combined_df['Percent Documented'] = combined_df['Documented Count'] / combined_df['Total']\n", "\n", "combined_df = combined_df.reset_index()\n", "\n", "\n", "total_nbs_milestones = nbs_df.shape[0]\n", "total_documented = combined_df['Documented Count'].sum()\n", "network_total = total_documented / total_nbs_milestones\n", "\n", "network_total_count = pd.DataFrame({\n", " 'Center': [\"Network Total\"],\n", " 'Total' : [total_nbs_milestones],\n", " 'Documented Count': [total_documented],\n", " 'Percent Documented': [network_total]\n", "})\n", "\n", "combined_df = pd.concat([combined_df, network_total_count], ignore_index=True)\n", "\n", "combined_df.head(20)" ] }, { "cell_type": "code", "execution_count": 103, "id": "0f7531d7-8ad1-450f-8830-5f5c233724df", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Center=%{x}
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(\n", " combined_df[~combined_df['Center'].isin(['Network Total'])],\n", " x='Center',\n", " y='Percent Documented',\n", " text='Percent Documented',\n", " color_discrete_sequence=['#71bf44']\n", ")\n", "\n", "# Network total\n", "net_total = combined_df[combined_df['Center'].isin(['Network Total'])]['Percent Documented'].iloc[0]\n", "fig.add_hline(y=net_total, \n", " line_dash=\"dash\", \n", " line_color=\"#004649\", \n", " annotation_text=f\"Network Total: {net_total * 100:.2f}%\", \n", " annotation_position=\"top left\")\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12,\n", " texttemplate=\"%{text:.0%}\"\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Documented Percentage', \n", " title='New Business Start Attribution Rates Per Center FY 25', \n", " yaxis_tickformat='.0%',\n", " height=700,\n", " width=1500\n", ")\n", "\n", "fig.write_image('nbs_attribution_percentage_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 70, "id": "e15a8709-cc0e-489d-bfe4-bd4b0c10985b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\"\\ntemp_agg = nbs_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\\ncombined_and_wrong_spot_df = temp_agg[temp_agg['Documentation Level'].isin(['Documented', 'Has documentation but not in correct spot'])]\\ncombined_and_wrong_spot_df.head(20)\\n\"" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "'''\n", "temp_agg = nbs_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\n", "combined_and_wrong_spot_df = temp_agg[temp_agg['Documentation Level'].isin(['Documented', 'Has documentation but not in correct spot'])]\n", "combined_and_wrong_spot_df.head(20)\n", "'''" ] }, { "cell_type": "code", "execution_count": 71, "id": "399b7387-f4d1-454d-b655-6590bb165d32", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CenterDocumentation_Levels_CombinedDocumented_CountGrand_Total_CountPercent_Documented
0BucknellDocumented,Has documentation but not in correc...8360.222222
1ClarionDocumented,Has documentation but not in correc...68720.944444
2DuquesneDocumented,Has documentation but not in correc...21530.396226
3GannonDocumented,Has documentation but not in correc...24400.600000
4KutztownDocumented,Has documentation but not in correc...421160.362069
5LehighDocumented,Has documentation but not in correc...27370.729730
6Penn StateDocumented27310.870968
7PittsburgDocumented,Has documentation but not in correc...28590.474576
8ScrantonDocumented,Has documentation but not in correc...31700.442857
9ShippensburgDocumented,Has documentation but not in correc...38600.633333
10St. FrancisDocumented,Has documentation but not in correc...18200.900000
11St. VincentHas documentation but not in correct spot15200.750000
12TempleDocumented,Has documentation but not in correc...60710.845070
13WidenerDocumented,Has documentation but not in correc...24380.631579
14WilkesDocumented,Has documentation but not in correc...18300.600000
15Network TotalNaN4497530.596282
\n", "
" ], "text/plain": [ " Center Documentation_Levels_Combined \\\n", "0 Bucknell Documented,Has documentation but not in correc... \n", "1 Clarion Documented,Has documentation but not in correc... \n", "2 Duquesne Documented,Has documentation but not in correc... \n", "3 Gannon Documented,Has documentation but not in correc... \n", "4 Kutztown Documented,Has documentation but not in correc... \n", "5 Lehigh Documented,Has documentation but not in correc... \n", "6 Penn State Documented \n", "7 Pittsburg Documented,Has documentation but not in correc... \n", "8 Scranton Documented,Has documentation but not in correc... \n", "9 Shippensburg Documented,Has documentation but not in correc... \n", "10 St. Francis Documented,Has documentation but not in correc... \n", "11 St. Vincent Has documentation but not in correct spot \n", "12 Temple Documented,Has documentation but not in correc... \n", "13 Widener Documented,Has documentation but not in correc... \n", "14 Wilkes Documented,Has documentation but not in correc... \n", "15 Network Total NaN \n", "\n", " Documented_Count Grand_Total_Count Percent_Documented \n", "0 8 36 0.222222 \n", "1 68 72 0.944444 \n", "2 21 53 0.396226 \n", "3 24 40 0.600000 \n", "4 42 116 0.362069 \n", "5 27 37 0.729730 \n", "6 27 31 0.870968 \n", "7 28 59 0.474576 \n", "8 31 70 0.442857 \n", "9 38 60 0.633333 \n", "10 18 20 0.900000 \n", "11 15 20 0.750000 \n", "12 60 71 0.845070 \n", "13 24 38 0.631579 \n", "14 18 30 0.600000 \n", "15 449 753 0.596282 " ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "temp_agg = nbs_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\n", "\n", "\n", "combined_and_wrong_spot_df = temp_agg[temp_agg['Documentation Level'].isin(\n", " ['Documented', 'Has documentation but not in correct spot']\n", ")]\n", "\n", "documented_agg_df = combined_and_wrong_spot_df.groupby('Center').agg(\n", " Documentation_Levels_Combined=('Documentation Level', ','.join), \n", " Documented_Count=('Count', 'sum')\n", ").reset_index()\n", "\n", "total_agg_df = temp_agg.groupby('Center').agg(\n", " Grand_Total_Count=('Count', 'sum')\n", ").reset_index()\n", "\n", "final_df = pd.merge(\n", " documented_agg_df, \n", " total_agg_df, \n", " on='Center', \n", " how='outer' \n", " \n", ")\n", "\n", "final_df['Documented_Count'] = final_df['Documented_Count'].fillna(0).astype(int)\n", "final_df['Documentation_Levels_Combined'] = final_df['Documentation_Levels_Combined'].fillna(0)\n", "\n", "final_df['Percent_Documented'] = final_df['Documented_Count'] / final_df['Grand_Total_Count']\n", "\n", "total_nbs_milestones = nbs_df.shape[0]\n", "total_group = final_df['Documented_Count'].sum()\n", "network_total = total_group / total_nbs_milestones\n", "\n", "network_total_count = pd.DataFrame({\n", " 'Center': [\"Network Total\"],\n", " 'Grand_Total_Count' : [total_nbs_milestones],\n", " 'Documented_Count': [total_group],\n", " 'Percent_Documented': [network_total]\n", "})\n", "\n", "final_df = pd.concat([final_df, network_total_count], ignore_index=True)\n", "\n", "final_df.head(20)" ] }, { "cell_type": "code", "execution_count": 100, "id": "13a0defd-6241-4e75-8b20-2590bdfd76ef", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Center=%{x}
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(\n", " final_df,\n", " x='Center',\n", " y='Percent_Documented',\n", " text='Percent_Documented',\n", " color_discrete_sequence=['#71bf44']\n", ")\n", "\n", "# Network total\n", "net_total = final_df[final_df['Center'].isin(['Network Total'])]['Percent_Documented'].iloc[0]\n", "fig.add_hline(y=net_total, \n", " line_dash=\"dash\", \n", " line_color=\"#004649\", \n", " annotation_text=f\"Network Total: {net_total * 100:.2f}%\", \n", " annotation_position=\"top left\")\n", "\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12,\n", " texttemplate=\"%{text:.0%}\"\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Documented and Has Documentation But Not in Correct Spot Percentage', \n", " yaxis_tickformat='.0%',\n", " title='Documented Percentage if All NBS Milestones With an Attribution Source had an Affirmation FY 25', \n", " height=700,\n", " width=1500\n", ")\n", "\n", "fig.write_image('nbs_documented_not_documented_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 73, "id": "8beef5ed-40d9-4197-9697-fa0b385c3eaf", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CenterTotal CountDirector CountPercent Director
0Bucknell3610.027778
1Clarion7230.041667
2Duquesne5320.037736
3Gannon4010.025000
4Kutztown11600.000000
5Lehigh3740.108108
6Penn State3100.000000
7Pittsburg5900.000000
8Scranton7010.014286
9Shippensburg6000.000000
10St. Francis2000.000000
11St. Vincent2010.050000
12Temple7110.014085
13Widener3850.131579
14Wilkes3000.000000
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" ], "text/plain": [ " Center Total Count Director Count Percent Director\n", "0 Bucknell 36 1 0.027778\n", "1 Clarion 72 3 0.041667\n", "2 Duquesne 53 2 0.037736\n", "3 Gannon 40 1 0.025000\n", "4 Kutztown 116 0 0.000000\n", "5 Lehigh 37 4 0.108108\n", "6 Penn State 31 0 0.000000\n", "7 Pittsburg 59 0 0.000000\n", "8 Scranton 70 1 0.014286\n", "9 Shippensburg 60 0 0.000000\n", "10 St. Francis 20 0 0.000000\n", "11 St. Vincent 20 1 0.050000\n", "12 Temple 71 1 0.014085\n", "13 Widener 38 5 0.131579\n", "14 Wilkes 30 0 0.000000" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "total_counts = nbs_df.groupby('Center').size()\n", "\n", "director_counts = nbs_df[nbs_df['Attribution Source'].str.contains(\"Director\", na=False)] \\\n", " .groupby('Center') \\\n", " .size()\n", "\n", "combined_df = pd.DataFrame({\n", " 'Total Count': total_counts,\n", " 'Director Count': director_counts\n", "})\n", "\n", "combined_df['Director Count'] = combined_df['Director Count'].fillna(0).astype(int)\n", "\n", "combined_df['Percent Director'] = combined_df['Director Count'] / combined_df['Total Count']\n", "\n", "combined_df = combined_df.reset_index()\n", "\n", "combined_df.head(20)" ] }, { "cell_type": "code", "execution_count": 99, "id": "708b1ec5-980a-474b-a7e3-ae7eac13d4b3", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Center=%{x}
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}, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(\n", " combined_df,\n", " x='Center',\n", " y='Percent Director',\n", " text='Percent Director',\n", " color_discrete_sequence=['#ffba31']\n", ")\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12,\n", " texttemplate=\"%{text:.0%}\"\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Percent of Director Confirmed Attributions', \n", " yaxis_tickformat='.0%',\n", " title='Percentage of Director Confirmed NBS Attributions Per Center FY 25', \n", " height=700,\n", " width=1500\n", ")\n", "\n", "fig.write_image('nbs_director_attribution_percentage_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 75, "id": "7fb3835c-8dea-4784-9109-865e6074503f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Reporting DateClientCenterFunding TypeCompletion StatusAmount ApprovedAttribution DateAffirmationAttribution StatementAttribution SourceDocumentation Level
02025-09-30SignBox Systems LLC (PI706576)University of Pittsburgh SBDCOwner InvestmentApproved50000.0NaNNaNNaNQuarterly Assessment SurveyHas documentation but not in correct spot
12025-09-30Colorful Voices (PI707914)University of Pittsburgh SBDCOwner InvestmentApproved5000.02025-10-24 16:52:00from 10-13 survey<p>You recorded the following positive economi...eCenterDocumented
22025-09-30Creative Wellness Studio LLC (PI707865)University of Pittsburgh SBDCOwner InvestmentApproved1000.0NaNNaNNaNQuarterly Assessment SurveyHas documentation but not in correct spot
32025-09-30Creative Wellness Studio LLC (PI707865)University of Pittsburgh SBDCOwner InvestmentApproved1000.0NaNNaNNaNQuarterly Assessment SurveyHas documentation but not in correct spot
42025-09-30Future Stars Early Learning Academy (PI707895)University of Pittsburgh SBDCOwner InvestmentApproved15000.0NaNNaNNaNQuarterly Assessment SurveyHas documentation but not in correct spot
\n", "
" ], "text/plain": [ " Reporting Date Client \\\n", "0 2025-09-30 SignBox Systems LLC (PI706576) \n", "1 2025-09-30 Colorful Voices (PI707914) \n", "2 2025-09-30 Creative Wellness Studio LLC (PI707865) \n", "3 2025-09-30 Creative Wellness Studio LLC (PI707865) \n", "4 2025-09-30 Future Stars Early Learning Academy (PI707895) \n", "\n", " Center Funding Type Completion Status \\\n", "0 University of Pittsburgh SBDC Owner Investment Approved \n", "1 University of Pittsburgh SBDC Owner Investment Approved \n", "2 University of Pittsburgh SBDC Owner Investment Approved \n", "3 University of Pittsburgh SBDC Owner Investment Approved \n", "4 University of Pittsburgh SBDC Owner Investment Approved \n", "\n", " Amount Approved Attribution Date Affirmation \\\n", "0 50000.0 NaN NaN \n", "1 5000.0 2025-10-24 16:52:00 from 10-13 survey \n", "2 1000.0 NaN NaN \n", "3 1000.0 NaN NaN \n", "4 15000.0 NaN NaN \n", "\n", " Attribution Statement \\\n", "0 NaN \n", "1

You recorded the following positive economi... \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "\n", " Attribution Source Documentation Level \n", "0 Quarterly Assessment Survey Has documentation but not in correct spot \n", "1 eCenter Documented \n", "2 Quarterly Assessment Survey Has documentation but not in correct spot \n", "3 Quarterly Assessment Survey Has documentation but not in correct spot \n", "4 Quarterly Assessment Survey Has documentation but not in correct spot " ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "funding_df = pd.read_csv(\"tagged_funding_milestone_data.csv\")\n", "funding_df.head()" ] }, { "cell_type": "code", "execution_count": 76, "id": "eee34403-8d9f-47eb-8abc-10b8224ae369", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Center\n", "Clarion 162\n", "Temple 141\n", "Pittsburgh 130\n", "Bucknell 116\n", "Widener 114\n", "Shippensburg 112\n", "Scranton 88\n", "Lehigh 68\n", "Penn State 63\n", "Duquesne 59\n", "Wilkes 54\n", "Gannon 45\n", "St. Francis 41\n", "St. Vincent 39\n", "Name: count, dtype: int64" ] }, "execution_count": 76, "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", " \"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", "}\n", "\n", "funding_df['Center'] = funding_df['Center'].replace(center_mapping)\n", "allowed_cols = [center_mapping[key] for key in center_mapping] \n", "funding_df = funding_df[funding_df['Center'].isin(allowed_cols)]\n", "funding_df['Center'].value_counts()" ] }, { "cell_type": "code", "execution_count": 77, "id": "060f1205-bfd7-40ad-91ac-9ab9713e9d45", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Documentation Level=Documented
Center=%{x}
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Center=%{x}
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Center=%{x}
Count=%{text}", "legendgroup": "Not Documented", "marker": { "color": "#004649", "pattern": { "shape": "" } }, "name": "Not Documented", "orientation": "v", "showlegend": true, "text": { "bdata": "AAAAAAAAFEAAAAAAAAAAQAAAAAAAAC5AAAAAAAAA8D8AAAAAAAAAQAAAAAAAAChAAAAAAAAAFEAAAAAAAAAIQAAAAAAAAPA/AAAAAAAAJEAAAAAAAAAoQA==", "dtype": "f8" }, "textfont": { "size": 12 }, "textposition": "inside", "type": "bar", "x": [ "Bucknell", "Clarion", "Duquesne", "Lehigh", "Penn State", "Pittsburgh", "Scranton", "Shippensburg", "Temple", "Widener", "Wilkes" ], "xaxis": "x", "y": { "bdata": "BQIPAQIMBQMBCgw=", "dtype": "i1" }, "yaxis": "y" } ], "layout": { "annotations": [ { "align": "left", "showarrow": false, "text": "NOTE:Documentation levels were determined as follows.

Documented:There is a non-blank, non-'Requested on eCenter'
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attribution source is eCenter, then no value is required in the
affirmation column as this is a data entry automatically generated
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Has documentation but not in correct spot: There is a non-blank,
non-'Requested on eCenter' attribution source, but no value in the
affirmation column

Not Documented:There is a non-blank, non-'Requested on eCenter'
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Attributions Per Center FY 25" }, "width": 1500, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Center" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Attribution Counts" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "funding_agg_df = funding_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\n", "\n", "\n", "fig = px.bar(\n", " funding_agg_df,\n", " x='Center',\n", " y='Count',\n", " color='Documentation Level',\n", " text='Count',\n", " color_discrete_sequence=['#71bf44', '#ffba31', '#004649']\n", ")\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Attribution Counts', \n", " title='Capital Funding Attributions Per Center FY 25', \n", " height=700,\n", " width=1500,\n", " margin=dict(r=470)\n", ")\n", "\n", "fig.add_annotation(x=1.5, y=0.0, xref='paper', yref='paper', showarrow=False, align='left',\n", " text=\"NOTE:Documentation levels were determined as follows.

\"\n", " \"Documented:There is a non-blank, non-'Requested on eCenter'
attribution source with a value in the affirmation column. If the
attribution source is eCenter, then no value is required in the
affirmation column as this is a data entry automatically generated
by Neoserra.

\"\n", " \"Has documentation but not in correct spot: There is a non-blank,
non-'Requested on eCenter' attribution source, but no value in the
affirmation column

\"\n", " \"Not Documented:There is a non-blank, non-'Requested on eCenter'
attribution source with a value in the affirmation column. If the attribution
source is eCenter, then no value is required in the affirmation column.\"\n", " )\n", "\n", "fig.write_image('funding_attribution_count_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 78, "id": "b853216a-9c24-442e-a236-62003a4726d1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "

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CenterTotalDocumented CountPercent Documented
0Bucknell11632.00.275862
1Clarion162157.00.969136
2Duquesne5932.00.542373
3Gannon4544.00.977778
4Lehigh6815.00.220588
5Penn State6355.00.873016
6Pittsburgh13076.00.584615
7Scranton8834.00.386364
8Shippensburg11213.00.116071
9St. Francis4137.00.902439
10St. Vincent390.00.000000
11Temple14123.00.163121
12Widener11499.00.868421
13Wilkes5419.00.351852
14Network Total753636.00.516234
\n", "
" ], "text/plain": [ " Center Total Documented Count Percent Documented\n", "0 Bucknell 116 32.0 0.275862\n", "1 Clarion 162 157.0 0.969136\n", "2 Duquesne 59 32.0 0.542373\n", "3 Gannon 45 44.0 0.977778\n", "4 Lehigh 68 15.0 0.220588\n", "5 Penn State 63 55.0 0.873016\n", "6 Pittsburgh 130 76.0 0.584615\n", "7 Scranton 88 34.0 0.386364\n", "8 Shippensburg 112 13.0 0.116071\n", "9 St. Francis 41 37.0 0.902439\n", "10 St. Vincent 39 0.0 0.000000\n", "11 Temple 141 23.0 0.163121\n", "12 Widener 114 99.0 0.868421\n", "13 Wilkes 54 19.0 0.351852\n", "14 Network Total 753 636.0 0.516234" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "funding_total = funding_agg_df.groupby('Center')['Count'].sum()\n", "\n", "funding_documented = funding_agg_df[funding_agg_df['Documentation Level'] == 'Documented'].groupby('Center')['Count'].sum()\n", "\n", "funding_combined_df = pd.DataFrame({\n", " 'Total': funding_total,\n", " 'Documented Count': funding_documented\n", "})\n", "\n", "funding_combined_df['Documented Count'] = funding_combined_df['Documented Count'].fillna(0)\n", "\n", "funding_combined_df['Percent Documented'] = funding_combined_df['Documented Count'] / funding_combined_df['Total']\n", "\n", "funding_combined_df = funding_combined_df.reset_index()\n", "\n", "total_funding_milestones = funding_df.shape[0]\n", "funding_total_documented = funding_combined_df['Documented Count'].sum()\n", "funding_network_total = funding_total_documented / total_funding_milestones \n", "\n", "funding_network_total_count = pd.DataFrame({\n", " 'Center': [\"Network Total\"],\n", " 'Total' : [total_nbs_milestones],\n", " 'Documented Count': [funding_total_documented],\n", " 'Percent Documented': [funding_network_total]\n", "})\n", "\n", "funding_combined_df = pd.concat([funding_combined_df, funding_network_total_count], ignore_index=True)\n", "\n", "funding_combined_df.head(20)" ] }, { "cell_type": "code", "execution_count": 97, "id": "6e81a227-fd9f-4339-b932-60dbe20ffbde", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Center=%{x}
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(\n", " funding_combined_df[funding_combined_df['Center'] != 'Network Total'],\n", " x='Center',\n", " y='Percent Documented',\n", " text='Percent Documented',\n", " color_discrete_sequence=['#71bf44']\n", ")\n", "\n", "# Network total\n", "net_total = funding_combined_df[funding_combined_df['Center'].isin(['Network Total'])]['Percent Documented'].iloc[0]\n", "fig.add_hline(y=net_total, \n", " line_dash=\"dash\", \n", " line_color=\"#004649\", \n", " annotation_text=f\"Network Total: {net_total * 100:.2f}%\", \n", " annotation_position=\"top left\")\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12,\n", " texttemplate=\"%{text:.0%}\"\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Documented Percentage', \n", " yaxis_tickformat='.0%',\n", " title='Capital Funding Attribution Rates Per Center FY 25', \n", " height=700,\n", " width=1500\n", ")\n", "\n", "fig.write_image('funding_attribution_percentage_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 98, "id": "aa7be3c4-f76e-4fc1-b443-52ba2b58d6a2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CenterDocumentation_Levels_CombinedDocumented_CountGrand_Total_CountPercent_Documented
0BucknellDocumented,Has documentation but not in correc...1111160.956897
1ClarionDocumented,Has documentation but not in correc...1601620.987654
2DuquesneDocumented,Has documentation but not in correc...44590.745763
3GannonDocumented,Has documentation but not in correc...45451.000000
4LehighDocumented,Has documentation but not in correc...67680.985294
5Penn StateDocumented,Has documentation but not in correc...61630.968254
6PittsburghDocumented,Has documentation but not in correc...1181300.907692
7ScrantonDocumented,Has documentation but not in correc...83880.943182
8ShippensburgDocumented,Has documentation but not in correc...1091120.973214
9St. FrancisDocumented,Has documentation but not in correc...41411.000000
10St. VincentHas documentation but not in correct spot39391.000000
11TempleDocumented,Has documentation but not in correc...1401410.992908
12WidenerDocumented,Has documentation but not in correc...1041140.912281
13WilkesDocumented,Has documentation but not in correc...42540.777778
14Network TotalNaN116412320.944805
\n", "
" ], "text/plain": [ " Center Documentation_Levels_Combined \\\n", "0 Bucknell Documented,Has documentation but not in correc... \n", "1 Clarion Documented,Has documentation but not in correc... \n", "2 Duquesne Documented,Has documentation but not in correc... \n", "3 Gannon Documented,Has documentation but not in correc... \n", "4 Lehigh Documented,Has documentation but not in correc... \n", "5 Penn State Documented,Has documentation but not in correc... \n", "6 Pittsburgh Documented,Has documentation but not in correc... \n", "7 Scranton Documented,Has documentation but not in correc... \n", "8 Shippensburg Documented,Has documentation but not in correc... \n", "9 St. Francis Documented,Has documentation but not in correc... \n", "10 St. Vincent Has documentation but not in correct spot \n", "11 Temple Documented,Has documentation but not in correc... \n", "12 Widener Documented,Has documentation but not in correc... \n", "13 Wilkes Documented,Has documentation but not in correc... \n", "14 Network Total NaN \n", "\n", " Documented_Count Grand_Total_Count Percent_Documented \n", "0 111 116 0.956897 \n", "1 160 162 0.987654 \n", "2 44 59 0.745763 \n", "3 45 45 1.000000 \n", "4 67 68 0.985294 \n", "5 61 63 0.968254 \n", "6 118 130 0.907692 \n", "7 83 88 0.943182 \n", "8 109 112 0.973214 \n", "9 41 41 1.000000 \n", "10 39 39 1.000000 \n", "11 140 141 0.992908 \n", "12 104 114 0.912281 \n", "13 42 54 0.777778 \n", "14 1164 1232 0.944805 " ] }, "execution_count": 98, "metadata": {}, "output_type": "execute_result" } ], "source": [ "funding_temp_agg = funding_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\n", "\n", "funding_combined_and_wrong_spot_df = funding_temp_agg[funding_temp_agg['Documentation Level'].isin(\n", " ['Documented', 'Has documentation but not in correct spot']\n", ")]\n", "\n", "funding_documented_agg_df = funding_combined_and_wrong_spot_df.groupby('Center').agg(\n", " Documentation_Levels_Combined=('Documentation Level', ','.join), \n", " Documented_Count=('Count', 'sum')\n", ").reset_index()\n", "\n", "funding_total_agg_df = funding_temp_agg.groupby('Center').agg(\n", " Grand_Total_Count=('Count', 'sum')\n", ").reset_index()\n", "\n", "funding_final_df = pd.merge(\n", " funding_documented_agg_df, \n", " funding_total_agg_df, \n", " on='Center', \n", " how='outer' \n", ")\n", "\n", "funding_final_df['Documented_Count'] = funding_final_df['Documented_Count'].fillna(0).astype(int)\n", "funding_final_df['Documentation_Levels_Combined'] = funding_final_df['Documentation_Levels_Combined'].fillna(0)\n", "\n", "funding_final_df['Percent_Documented'] = funding_final_df['Documented_Count'] / funding_final_df['Grand_Total_Count']\n", "\n", "total_funding_milestones = funding_df.shape[0]\n", "funding_total_group = funding_final_df['Documented_Count'].sum()\n", "funding_network_total = funding_total_group / total_funding_milestones\n", "\n", "funding_network_total_count = pd.DataFrame({\n", " 'Center': [\"Network Total\"],\n", " 'Grand_Total_Count' : [total_funding_milestones],\n", " 'Documented_Count': [funding_total_group],\n", " 'Percent_Documented': [funding_network_total]\n", "})\n", "\n", "funding_final_df = pd.concat([funding_final_df, funding_network_total_count], ignore_index=True)\n", "\n", "funding_final_df.head(20)" ] }, { "cell_type": "code", "execution_count": 96, "id": "4cea3229-57dc-4ce3-97fe-4207f19e9b61", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Center=%{x}
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(\n", " funding_final_df[funding_final_df['Center'] != 'Network Total'],\n", " x='Center',\n", " y='Percent_Documented',\n", " text='Percent_Documented',\n", " color_discrete_sequence=['#71bf44']\n", ")\n", "\n", "# Network total\n", "net_total = funding_final_df[funding_final_df['Center'].isin(['Network Total'])]['Percent_Documented'].iloc[0]\n", "fig.add_hline(y=net_total, \n", " line_dash=\"dash\", \n", " line_color=\"#004649\", \n", " annotation_text=f\"Network Total: {net_total * 100:.2f}%\", \n", " annotation_position=\"top right\")\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12,\n", " texttemplate=\"%{text:.0%}\"\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Documented and Has Documentation But Not in Correct Spot Percentage', \n", " yaxis_tickformat='.0%',\n", " title='Documented Percentage if All Funding Milestones With an Attribution Source had an Affirmation FY 25', \n", " height=700,\n", " width=1500\n", ")\n", "\n", "fig.write_image('funding_documented_not_documented_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 82, "id": "893a5190-572d-4238-99c6-7b9294c401aa", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CenterTotalDocumented CountPercent Documented
0Bucknell11632.00.275862
1Clarion162157.00.969136
2Duquesne5932.00.542373
3Gannon4544.00.977778
4Lehigh6815.00.220588
5Penn State6355.00.873016
6Pittsburgh13076.00.584615
7Scranton8834.00.386364
8Shippensburg11213.00.116071
9St. Francis4137.00.902439
10St. Vincent390.00.000000
11Temple14123.00.163121
12Widener11499.00.868421
13Wilkes5419.00.351852
14Network Total753636.00.516234
\n", "
" ], "text/plain": [ " Center Total Documented Count Percent Documented\n", "0 Bucknell 116 32.0 0.275862\n", "1 Clarion 162 157.0 0.969136\n", "2 Duquesne 59 32.0 0.542373\n", "3 Gannon 45 44.0 0.977778\n", "4 Lehigh 68 15.0 0.220588\n", "5 Penn State 63 55.0 0.873016\n", "6 Pittsburgh 130 76.0 0.584615\n", "7 Scranton 88 34.0 0.386364\n", "8 Shippensburg 112 13.0 0.116071\n", "9 St. Francis 41 37.0 0.902439\n", "10 St. Vincent 39 0.0 0.000000\n", "11 Temple 141 23.0 0.163121\n", "12 Widener 114 99.0 0.868421\n", "13 Wilkes 54 19.0 0.351852\n", "14 Network Total 753 636.0 0.516234" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "total_counts = funding_df.groupby('Center').size()\n", "\n", "director_counts = funding_df[funding_df['Attribution Source'].str.contains(\"Director\", na=False)] \\\n", " .groupby('Center') \\\n", " .size()\n", "\n", "funding_director_combined_df = pd.DataFrame({\n", " 'Total Count': total_counts,\n", " 'Director Count': director_counts\n", "})\n", "\n", "funding_director_combined_df['Director Count'] = funding_director_combined_df['Director Count'].fillna(0).astype(int)\n", "\n", "funding_director_combined_df['Percent Director'] = funding_director_combined_df['Director Count'] / funding_director_combined_df['Total Count']\n", "\n", "funding_director_combined_df = funding_director_combined_df.reset_index()\n", "\n", "funding_combined_df.head(20)" ] }, { "cell_type": "code", "execution_count": 95, "id": "f5da78b4-be16-4cfe-84d5-c0b2e2a9d7e8", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Center=%{x}
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(\n", " funding_director_combined_df,\n", " x='Center',\n", " y='Percent Director',\n", " text='Percent Director',\n", " color_discrete_sequence=['#ffba31']\n", ")\n", "\n", "fig.update_traces(\n", " textposition='inside',\n", " textfont_size=12,\n", " texttemplate=\"%{text:.0%}\"\n", ")\n", "\n", "fig.update_layout(\n", " xaxis_title='Center', \n", " yaxis_title='Percent of Director Confirmed Attributions', \n", " yaxis_tickformat='.0%',\n", " title='Percentage of Director Confirmed Capital Funding Attributions Per Center FY 25', \n", " height=700,\n", " width=1500\n", ")\n", "\n", "fig.write_image('funding_director_attribution_percentage_chart.png')\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "aad0bbb0-8ef0-4ace-8344-2cd07c86d1c8", "metadata": {}, "source": [ "# Word Document Functions\n", "---\n", "Now we need to make the word document functions to pass into the document builder library" ] }, { "cell_type": "code", "execution_count": 91, "id": "3d9e1238-d696-43d1-9aac-48f671c8fc2e", "metadata": {}, "outputs": [], "source": [ "builder = WordDocumentBuilder()" ] }, { "cell_type": "code", "execution_count": 92, "id": "3e964ead-85ab-4de0-8943-d991c9933058", "metadata": {}, "outputs": [], "source": [ "def capital_aquisition(builder: WordDocumentBuilder, funding_overview_graph:str = \"funding_attribution_count_chart.png\", funding_attribution_chart:str = \"funding_attribution_percentage_chart.png\", funding_attribution_potential_chart:str = \"funding_documented_not_documented_chart.png\", funding_director_attribution:str = \"funding_director_attribution_percentage_chart.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", " \n", " title_paragraph = builder.doc.add_paragraph()\n", "\n", " # TODO: Change this to use section number in script\n", " title_run = title_paragraph.add_run(\"1.5 Capital Funding Milestone Attribution Analysis\")\n", " title_run.font.name = 'Futera'\n", " title_run.font.size = Pt(12)\n", " title_run.font.color.rgb = RGBColor(113, 191, 68)\n", "\n", " title_paragraph.alignment = WD_ALIGN_PARAGRAPH.LEFT\n", "\n", " overview_graph = builder.doc.add_picture(funding_overview_graph, width=Inches(7))\n", " last_pg = builder.doc.paragraphs[-1]\n", " last_pg.alignment = WD_ALIGN_PARAGRAPH.CENTER\n", " \n", " overview_chart_note_paragraph = builder.doc.add_paragraph() \n", " # TODO: Change this to use section number and prefix in script\n", " overview_note_run = overview_chart_note_paragraph.add_run(f\"Figure {\"1.5\"}.{builder.figure_number + 1} shows the counts of milestones in each documentation level per center.\")\n", " overview_note_run.font.name = 'Futera'\n", " overview_note_run.font.size = Pt(9)\n", " overview_note_run.font.color.rgb = RGBColor(15, 27, 38)\n", " overview_note_run.bold = True\n", " \n", " builder.figure_number += 1\n", " \n", "\n", " \n", "\n", " # Add comparisons between actual documentation counts and what it would be with proper documentation\n", " picture_table = builder.doc.add_table(rows=2, cols=2)\n", "\n", " row1_cells = picture_table.rows[0].cells\n", " row2_cells = picture_table.rows[1].cells\n", "\n", " attribution_chart_paragrah = row1_cells[0].paragraphs[0]\n", " attribution_chart_run = attribution_chart_paragrah.add_run()\n", " attribution_chart_run.add_picture(funding_attribution_chart, width=Inches(4))\n", "\n", " attribution_chart_note_paragraph = row2_cells[0].paragraphs[0]\n", " # TODO: Change this to use section number and prefix in script\n", " attribution_note_run = attribution_chart_note_paragraph.add_run(f\"Figure {\"1.5\"}.{builder.figure_number + 1} shows the percentage of funding attribution milestones had documentation per center.\")\n", " attribution_note_run.font.name = 'Futera'\n", " attribution_note_run.font.size = Pt(9)\n", " attribution_note_run.font.color.rgb = RGBColor(15, 27, 38)\n", " attribution_note_run.bold = True\n", " \n", " builder.figure_number += 1\n", "\n", " attribution_chart_paragrah = row1_cells[1].paragraphs[0]\n", " attribution_chart_run = attribution_chart_paragrah.add_run()\n", " attribution_chart_run.add_picture(funding_attribution_potential_chart, width=Inches(4))\n", "\n", " attribution_chart_note_paragraph = row2_cells[1].paragraphs[0]\n", " attribution_note_run = attribution_chart_note_paragraph.add_run(f\"Figure {\"1.5\"}.{builder.figure_number + 1} shows what the attribution rate would be if all milestones were properly documented.\")\n", " attribution_note_run.font.name = 'Futera'\n", " attribution_note_run.font.size = Pt(9)\n", " attribution_note_run.font.color.rgb = RGBColor(15, 27, 38)\n", " attribution_note_run.bold = True\n", " \n", " builder.figure_number += 1\n", "\n", " # Add the director chart\n", " director_chart = builder.doc.add_picture(funding_director_attribution, width=Inches(7), height=Inches(2.5))\n", " last_pg = builder.doc.paragraphs[-1]\n", " last_pg.alignment = WD_ALIGN_PARAGRAPH.CENTER\n", "\n", " director_chart_note_pg = builder.doc.add_paragraph()\n", " director_chart_note_run = director_chart_note_pg.add_run(f\"\\t\\tFigure {\"1.5\"}.{builder.figure_number + 1} shows the percentage of milestones that were director confirmed.\")\n", " director_chart_note_run .font.name = 'Futera'\n", " director_chart_note_run .font.size = Pt(9)\n", " director_chart_note_run .font.color.rgb = RGBColor(15, 27, 38)\n", " director_chart_note_run .bold = True\n", " builder.figure_number += 1\n" ] }, { "cell_type": "code", "execution_count": 93, "id": "8850b388-264e-4d9a-b766-5dc272b5c3f2", "metadata": {}, "outputs": [], "source": [ "def nbs(builder: WordDocumentBuilder, nbs_overview_graph:str = \"nbs_attribution_count_chart.png\", nbs_attribution_chart:str = \"nbs_attribution_percentage_chart.png\", nbs_attribution_potential_chart:str = \"nbs_documented_not_documented_chart.png\", nbs_director_attribution:str = \"nbs_director_attribution_percentage_chart.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", " \n", " title_paragraph = builder.doc.add_paragraph()\n", "\n", " # TODO: Change this to use section number in script\n", " title_run = title_paragraph.add_run(\"New Business Start Milestone Attribution Analysis\")\n", " title_run.font.name = 'Futera'\n", " title_run.font.size = Pt(12)\n", " title_run.font.color.rgb = RGBColor(113, 191, 68)\n", "\n", " title_paragraph.alignment = WD_ALIGN_PARAGRAPH.LEFT\n", "\n", " overview_graph = builder.doc.add_picture(nbs_overview_graph, width=Inches(7))\n", "\n", " last_pg = builder.doc.paragraphs[-1]\n", " last_pg.alignment = WD_ALIGN_PARAGRAPH.CENTER\n", "\n", " overview_chart_note_paragraph = builder.doc.add_paragraph() \n", " # TODO: Change this to use section number and prefix in script\n", " overview_note_run = overview_chart_note_paragraph.add_run(f\"Figure {\"1.5\"}.{builder.figure_number + 1} shows the counts of milestones in each documentation level per center.\")\n", " overview_note_run.font.name = 'Futera'\n", " overview_note_run.font.size = Pt(9)\n", " overview_note_run.font.color.rgb = RGBColor(15, 27, 38)\n", " overview_note_run.bold = True\n", " \n", " builder.figure_number += 1\n", "\n", " # Add comparisons between actual documentation counts and what it would be with proper documentation\n", " picture_table = builder.doc.add_table(rows=2, cols=2)\n", "\n", " row1_cells = picture_table.rows[0].cells\n", " row2_cells = picture_table.rows[1].cells\n", "\n", " attribution_chart_paragrah = row1_cells[0].paragraphs[0]\n", " attribution_chart_run = attribution_chart_paragrah.add_run()\n", " attribution_chart_run.add_picture(nbs_attribution_chart, width=Inches(4))\n", "\n", " attribution_chart_note_paragraph = row2_cells[0].paragraphs[0]\n", " # TODO: Change this to use section number and prefix in script\n", " attribution_note_run = attribution_chart_note_paragraph.add_run(f\"Figure {\"1.5\"}.{builder.figure_number + 1} shows the percentage of NBS attribution milestones had documentation per center.\")\n", " attribution_note_run.font.name = 'Futera'\n", " attribution_note_run.font.size = Pt(9)\n", " attribution_note_run.font.color.rgb = RGBColor(15, 27, 38)\n", " attribution_note_run.bold = True\n", " \n", " builder.figure_number += 1\n", "\n", " attribution_chart_paragrah = row1_cells[1].paragraphs[0]\n", " attribution_chart_run = attribution_chart_paragrah.add_run()\n", " attribution_chart_run.add_picture(nbs_attribution_potential_chart, width=Inches(4))\n", "\n", " attribution_chart_note_paragraph = row2_cells[1].paragraphs[0]\n", " attribution_note_run = attribution_chart_note_paragraph.add_run(f\"Figure {\"1.5\"}.{builder.figure_number + 1} shows what the attribution rate would be if all milestones were properly documented.\")\n", " attribution_note_run.font.name = 'Futera'\n", " attribution_note_run.font.size = Pt(9)\n", " attribution_note_run.font.color.rgb = RGBColor(15, 27, 38)\n", " attribution_note_run.bold = True\n", " \n", " builder.figure_number += 1\n", "\n", " # Add the director chart\n", " director_chart = builder.doc.add_picture(nbs_director_attribution, width=Inches(7), height=Inches(2.5))\n", " last_pg = builder.doc.paragraphs[-1]\n", " last_pg.alignment = WD_ALIGN_PARAGRAPH.CENTER\n", "\n", " director_chart_note_pg = builder.doc.add_paragraph()\n", " director_chart_note_run = director_chart_note_pg.add_run(f\"\\t\\tFigure {\"1.5\"}.{builder.figure_number + 1} shows the percentage of milestones that were director confirmed.\")\n", " director_chart_note_run .font.name = 'Futera'\n", " director_chart_note_run .font.size = Pt(9)\n", " director_chart_note_run .font.color.rgb = RGBColor(15, 27, 38)\n", " director_chart_note_run .bold = True\n", " builder.figure_number += 1\n" ] }, { "cell_type": "code", "execution_count": 94, "id": "87091175-a9f5-461c-9c4d-b21bcb5e0d07", "metadata": {}, "outputs": [], "source": [ "pages = [\n", " PageConfig(capital_aquisition),\n", " PageConfig(nbs)\n", "]\n", "\n", "doc = builder.create_document(\n", " pages,\n", " \"section1_5.docx\"\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "faa1a6b7-d0cc-4114-8734-da5fe104c1cb", "metadata": {}, "outputs": [], "source": [] } ], "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 }