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}, "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": 4, "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
\n", "
" ], "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": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "agg_df = nbs_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\n", "\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", "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": 5, "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": 52, "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": 52, "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": 56, "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
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" ], "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": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "temp_agg = nbs_df.groupby(['Center', 'Documentation Level']).size().reset_index(name='Count')\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", "final_df.head(20)" ] }, { "cell_type": "code", "execution_count": 57, "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": [ "net_total = final_df[final_df['Center'].isin(['Network Total'])]['Percent_Documented'].iloc[0]\n", "fig = px.bar(\n", " final_df[~final_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", "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": 58, "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
\n", "
" ], "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": 58, "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": 59, "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": 101, "id": "7fb3835c-8dea-4784-9109-865e6074503f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AffirmationAmount ApprovedAttribution DateAttribution SourceAttribution StatementCenterClientCompletion StatusDocumentation LevelFunding TypeReporting Date
0NaN50000.0NaNQuarterly Assessment SurveyNaNUniversity of Pittsburgh SBDCSignBox Systems LLC (PI706576)ApprovedHas documentation but not in correct spotOwner Investment2025-09-30
1from 10-13 survey5000.02025-10-24 16:52:00eCenter<p>You recorded the following positive economi...University of Pittsburgh SBDCColorful Voices (PI707914)ApprovedDocumentedOwner Investment2025-09-30
2NaN1000.0NaNQuarterly Assessment SurveyNaNUniversity of Pittsburgh SBDCCreative Wellness Studio LLC (PI707865)ApprovedHas documentation but not in correct spotOwner Investment2025-09-30
3NaN1000.0NaNQuarterly Assessment SurveyNaNUniversity of Pittsburgh SBDCCreative Wellness Studio LLC (PI707865)ApprovedHas documentation but not in correct spotOwner Investment2025-09-30
4NaN15000.0NaNQuarterly Assessment SurveyNaNUniversity of Pittsburgh SBDCFuture Stars Early Learning Academy (PI707895)ApprovedHas documentation but not in correct spotOwner Investment2025-09-30
\n", "
" ], "text/plain": [ " Affirmation Amount Approved Attribution Date \\\n", "0 NaN 50000.0 NaN \n", "1 from 10-13 survey 5000.0 2025-10-24 16:52:00 \n", "2 NaN 1000.0 NaN \n", "3 NaN 1000.0 NaN \n", "4 NaN 15000.0 NaN \n", "\n", " Attribution Source \\\n", "0 Quarterly Assessment Survey \n", "1 eCenter \n", "2 Quarterly Assessment Survey \n", "3 Quarterly Assessment Survey \n", "4 Quarterly Assessment Survey \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", " Center \\\n", "0 University of Pittsburgh SBDC \n", "1 University of Pittsburgh SBDC \n", "2 University of Pittsburgh SBDC \n", "3 University of Pittsburgh SBDC \n", "4 University of Pittsburgh SBDC \n", "\n", " Client Completion Status \\\n", "0 SignBox Systems LLC (PI706576) Approved \n", "1 Colorful Voices (PI707914) Approved \n", "2 Creative Wellness Studio LLC (PI707865) Approved \n", "3 Creative Wellness Studio LLC (PI707865) Approved \n", "4 Future Stars Early Learning Academy (PI707895) Approved \n", "\n", " Documentation Level Funding Type Reporting Date \n", "0 Has documentation but not in correct spot Owner Investment 2025-09-30 \n", "1 Documented Owner Investment 2025-09-30 \n", "2 Has documentation but not in correct spot Owner Investment 2025-09-30 \n", "3 Has documentation but not in correct spot Owner Investment 2025-09-30 \n", "4 Has documentation but not in correct spot Owner Investment 2025-09-30 " ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" } ], "source": [ "funding_df = pd.read_csv(\"tagged_funding_milestone_data.csv\")\n", "\n", "funding_df = funding_df.reindex(sorted(funding_df.columns), axis=1)\n", "\n", "funding_df.head()" ] }, { "cell_type": "code", "execution_count": 102, "id": "2e570f10-959c-4cdc-a4c7-56aed981048d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Center\n", "PennWest University Clarion SBDC 162\n", "Kutztown University SBDC 157\n", "TE - TEMPLE SBDC 141\n", "University of Pittsburgh SBDC 130\n", "Bucknell SBDC 116\n", "WD - WIDENER SBDC 114\n", "SH - SHIPPENSBURG SBDC 112\n", "The University of Scranton SBDC 88\n", "LE - LEHIGH UNIVERSITY SBDC 68\n", "Penn State SBDC 63\n", "Duquesne University SBDC 59\n", "WI - WILKES SBDC 54\n", "G - GANNON SBDC 45\n", "SF - ST. FRANCIS UNIVERSITY SBDC 41\n", "SV - ST. VINCENT COLLEGE SBDC 39\n", "G - Meadville 17\n", "SV - Fayette Outreach 5\n", "G - Mercer 1\n", " Pennsylvania SBDC Lead Office 1\n", "EMAP 1\n", "Name: count, dtype: int64" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "funding_df['Center'].value_counts()" ] }, { "cell_type": "code", "execution_count": 103, "id": "eee34403-8d9f-47eb-8abc-10b8224ae369", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Center\n", "Clarion 162\n", "Kutztown 157\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", "Gannon 63\n", "Duquesne 59\n", "Wilkes 54\n", "St. Vincent 44\n", "St. Francis 41\n", "Lead Office 2\n", "Name: count, dtype: int64" ] }, "execution_count": 103, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clean_center_name(funding_df)\n", "funding_df.loc[funding_df['Center'] == 'EMAP', 'Center'] = 'Lead Office'\n", "funding_df.loc[funding_df['Center'] == ' Pennsylvania SBDC Lead Office', 'Center'] = 'Lead Office'\n", "funding_df['Center'].value_counts()" ] }, { "cell_type": "code", "execution_count": 104, "id": "060f1205-bfd7-40ad-91ac-9ab9713e9d45", "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": "Capital Funding 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", "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": 105, "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
3Gannon6362.00.984127
4Kutztown15784.00.535032
5Lead Office20.00.000000
6Lehigh6815.00.220588
7Penn State6355.00.873016
8Pittsburgh13076.00.584615
9Scranton8834.00.386364
10Shippensburg11213.00.116071
11St. Francis4137.00.902439
12St. Vincent440.00.000000
13Temple14123.00.163121
14Widener11499.00.868421
15Wilkes5419.00.351852
16Network Total753738.00.521924
\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 63 62.0 0.984127\n", "4 Kutztown 157 84.0 0.535032\n", "5 Lead Office 2 0.0 0.000000\n", "6 Lehigh 68 15.0 0.220588\n", "7 Penn State 63 55.0 0.873016\n", "8 Pittsburgh 130 76.0 0.584615\n", "9 Scranton 88 34.0 0.386364\n", "10 Shippensburg 112 13.0 0.116071\n", "11 St. Francis 41 37.0 0.902439\n", "12 St. Vincent 44 0.0 0.000000\n", "13 Temple 141 23.0 0.163121\n", "14 Widener 114 99.0 0.868421\n", "15 Wilkes 54 19.0 0.351852\n", "16 Network Total 753 738.0 0.521924" ] }, "execution_count": 105, "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": 106, "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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"ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Capital Funding Attribution Rates Per Center FY 25" }, "width": 1500, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Center" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "tickformat": ".0%", "title": { "text": "Documented Percentage" } } } } }, "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": 107, "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...63631.000000
4KutztownDocumented,Has documentation but not in correc...1381570.878981
5Lead OfficeHas documentation but not in correct spot221.000000
6LehighDocumented,Has documentation but not in correc...67680.985294
7Penn StateDocumented,Has documentation but not in correc...61630.968254
8PittsburghDocumented,Has documentation but not in correc...1181300.907692
9ScrantonDocumented,Has documentation but not in correc...83880.943182
10ShippensburgDocumented,Has documentation but not in correc...1091120.973214
11St. FrancisDocumented,Has documentation but not in correc...41411.000000
12St. VincentHas documentation but not in correct spot44441.000000
13TempleDocumented,Has documentation but not in correc...1401410.992908
14WidenerDocumented,Has documentation but not in correc...1041140.912281
15WilkesDocumented,Has documentation but not in correc...42540.777778
16Network TotalNaN132714140.938472
\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 Lead Office Has documentation but not in correct spot \n", "6 Lehigh Documented,Has documentation but not in correc... \n", "7 Penn State Documented,Has documentation but not in correc... \n", "8 Pittsburgh Documented,Has documentation but not in correc... \n", "9 Scranton Documented,Has documentation but not in correc... \n", "10 Shippensburg Documented,Has documentation but not in correc... \n", "11 St. Francis Documented,Has documentation but not in correc... \n", "12 St. Vincent Has documentation but not in correct spot \n", "13 Temple Documented,Has documentation but not in correc... \n", "14 Widener Documented,Has documentation but not in correc... \n", "15 Wilkes Documented,Has documentation but not in correc... \n", "16 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 63 63 1.000000 \n", "4 138 157 0.878981 \n", "5 2 2 1.000000 \n", "6 67 68 0.985294 \n", "7 61 63 0.968254 \n", "8 118 130 0.907692 \n", "9 83 88 0.943182 \n", "10 109 112 0.973214 \n", "11 41 41 1.000000 \n", "12 44 44 1.000000 \n", "13 140 141 0.992908 \n", "14 104 114 0.912281 \n", "15 42 54 0.777778 \n", "16 1327 1414 0.938472 " ] }, "execution_count": 107, "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": 108, "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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"ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Documented Percentage if All Funding Milestones With an Attribution Source had an Affirmation FY 25" }, "width": 1500, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Center" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "tickformat": ".0%", "title": { "text": "Documented and Has Documentation But Not in Correct Spot Percentage" } } } } }, "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": 109, "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
3Gannon6362.00.984127
4Kutztown15784.00.535032
5Lead Office20.00.000000
6Lehigh6815.00.220588
7Penn State6355.00.873016
8Pittsburgh13076.00.584615
9Scranton8834.00.386364
10Shippensburg11213.00.116071
11St. Francis4137.00.902439
12St. Vincent440.00.000000
13Temple14123.00.163121
14Widener11499.00.868421
15Wilkes5419.00.351852
16Network Total753738.00.521924
\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 63 62.0 0.984127\n", "4 Kutztown 157 84.0 0.535032\n", "5 Lead Office 2 0.0 0.000000\n", "6 Lehigh 68 15.0 0.220588\n", "7 Penn State 63 55.0 0.873016\n", "8 Pittsburgh 130 76.0 0.584615\n", "9 Scranton 88 34.0 0.386364\n", "10 Shippensburg 112 13.0 0.116071\n", "11 St. Francis 41 37.0 0.902439\n", "12 St. Vincent 44 0.0 0.000000\n", "13 Temple 141 23.0 0.163121\n", "14 Widener 114 99.0 0.868421\n", "15 Wilkes 54 19.0 0.351852\n", "16 Network Total 753 738.0 0.521924" ] }, "execution_count": 109, "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": 110, "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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"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": "Percentage of Director Confirmed Capital Funding Attributions Per Center FY 25" }, "width": 1500, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Center" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "tickformat": ".0%", "title": { "text": "Percent of Director Confirmed Attributions" } } } } }, "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": 111, "id": "3d9e1238-d696-43d1-9aac-48f671c8fc2e", "metadata": {}, "outputs": [], "source": [ "builder = WordDocumentBuilder()" ] }, { "cell_type": "code", "execution_count": 112, "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", " # 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": 113, "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": 114, "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": "634609a4-580c-4ce6-8ad3-ec0867401334", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c343e248-63cc-40f3-814b-6da05a81dc9b", "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": 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