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{
"cells": [
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"pred = pd.read_csv('/Users/dbouquin/Library/CloudStorage/OneDrive-NationalParksConservationAssociation/HelpDesk_GitLand/HD974 - West Death Rates/snowflake_ml/bequest_prediciton_alive_20241015.csv')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['ROI_FAMILY_ID', 'imputer', 'y_pred', 'status'], dtype='object')"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred.columns"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(3978, 4)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred.shape"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"# Select all unique ROI_FAMILY_ID from pred\n",
"pred_ids = pred['ROI_FAMILY_ID'].unique()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1376,)"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred_ids.shape"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"# Write to a csv\n",
"pred_ids_df = pd.DataFrame(pred_ids, columns=['ROI_FAMILY_ID'])\n",
"pred_ids_df.to_csv('/Users/dbouquin/Library/CloudStorage/OneDrive-NationalParksConservationAssociation/HelpDesk_GitLand/HD974 - West Death Rates/snowflake_ml/bequest_prediciton_alive_20241015_ids.csv', index=False)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"pred_flags = pd.read_csv('predicted_bequestors_desc.csv')"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(828, 18)"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred_flags.shape"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['ROI FAMILY ID', 'ROI ID', 'CITY', 'STATE', 'ZIPCODE',\n",
" 'SOLICIT NO MAIL', 'NO EMAIL', 'MD GROUP', 'DEV TFP', 'MLS',\n",
" 'REG COUNCIL', 'NAT COUNCIL', 'VET COUNCIL', 'CF GROUP',\n",
" 'BOARD OR EMERITUS', 'SUPERFUND', 'SUPERFUND PLANNEDGIFT',\n",
" 'NP ROLE STAFF'],\n",
" dtype='object')"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred_flags.columns"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"# replace spaces with underscores in column names\n",
"pred_flags.columns = pred_flags.columns.str.replace(' ', '_')"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"# Select where CF_GROUP = Y\n",
"cf_group = pred_flags[pred_flags['CF_GROUP'] == 'Y']\n",
"#cf_group"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"All of these seem to be actual people"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"# Fill blanks with \"N\"\n",
"pred_flags = pred_flags.fillna('None')"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"# Replace \"Superfund Planned Giving Prospect FY24\" with \"Y\" in SUPERFUND_PLANNEDGIFT col\n",
"pred_flags['SUPERFUND_PLANNEDGIFT'] = pred_flags['SUPERFUND_PLANNEDGIFT'].replace('Superfund Planned Giving Prospect FY24', 'Y')"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"MD_GROUP\n",
"N 0.624396\n",
"Y 0.375604\n",
"Name: proportion, dtype: float64\n",
"DEV_TFP\n",
"N 0.786232\n",
"Y 0.213768\n",
"Name: proportion, dtype: float64\n",
"MLS\n",
"N 0.820048\n",
"Y 0.179952\n",
"Name: proportion, dtype: float64\n",
"REG_COUNCIL\n",
"N 0.932367\n",
"Y 0.067633\n",
"Name: proportion, dtype: float64\n",
"NAT_COUNCIL\n",
"N 0.97343\n",
"Y 0.02657\n",
"Name: proportion, dtype: float64\n",
"VET_COUNCIL\n",
"N 1.0\n",
"Name: proportion, dtype: float64\n",
"CF_GROUP\n",
"N 0.993961\n",
"Y 0.006039\n",
"Name: proportion, dtype: float64\n",
"BOARD_OR_EMERITUS\n",
"N 0.969807\n",
"Y 0.030193\n",
"Name: proportion, dtype: float64\n",
"SUPERFUND\n",
"Superfund Planned Giving Prospect FY24 0.663043\n",
"None 0.205314\n",
"Superfund Mid to Major Prospect FY24 0.055556\n",
"Superfund Midlevel Annual Prospect FY24 0.045894\n",
"Superfund Major Gift Prospect FY24 0.018116\n",
"Superfund Leadership Gift Prospect FY24 0.009662\n",
"Superfund Planned Gift Only Prospect FY23 0.002415\n",
"Name: proportion, dtype: float64\n",
"SUPERFUND_PLANNEDGIFT\n",
"Y 0.663043\n",
"None 0.336957\n",
"Name: proportion, dtype: float64\n",
"NP_ROLE_STAFF\n",
"N 1.0\n",
"Name: proportion, dtype: float64\n"
]
}
],
"source": [
"# find proportion of each unique value relevant cols\n",
"for col in ['MD_GROUP', 'DEV_TFP', 'MLS', 'REG_COUNCIL', 'NAT_COUNCIL', \n",
" 'VET_COUNCIL', 'CF_GROUP', 'BOARD_OR_EMERITUS', 'SUPERFUND', \n",
" 'SUPERFUND_PLANNEDGIFT','NP_ROLE_STAFF']:\n",
" print(pred_flags[col].value_counts(normalize=True))"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['Planned Giving', 'Major Gift', 'None', 'Midlevel Annual',\n",
" 'Mid to Major', 'Leadership Gift', 'Planned Gift Only FY23'],\n",
" dtype=object)"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Replace \"Superfund\" and \"Prospect\" with empty strings\n",
"pred_flags['SUPERFUND'] = pred_flags['SUPERFUND'].str.replace('Superfund', '').str.replace(' Prospect', '').str.strip()\n",
"\n",
"# Replace \"Superfund\" and \"Prospect\" with empty strings\n",
"pred_flags['SUPERFUND'] = pred_flags['SUPERFUND'].str.replace(' FY24', '').str.strip()\n",
"\n",
"# unique values in SUPERFUND\n",
"pred_flags['SUPERFUND'].unique()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"# Define the columns to visualize\n",
"# vet_council and np_role_staff are all N\n",
"vis_columns = ['MLS', 'MD_GROUP', 'DEV_TFP', 'REG_COUNCIL', \n",
" 'NAT_COUNCIL', 'BOARD_OR_EMERITUS']"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
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www+29oyMDDNmzBgjyYSFhZmjR486XHdfX1/z2WefOdw+1vnHjBnjcLoxxrRs2dJIMmvWrLFrf+aZZ4wkU6lSJZOcnGxrv3Tpkhk8eLCRZGJiYkxqaqrdfNZtEBYWZr799luH8dxyyy127ePGjTOSzNChQ01GRobdtEuXLpmvvvoqy/ivlZKSYkJDQ40k8/LLL9stb+vWraZYsWJGknn//fft5ktOTjaSTPny5XP8XNfq3bu3kWRGjBhha/voo49s2/HadTPGmLfeestIMiVKlDBff/11punfffedOXDggO3vNWvWGEmmZcuWWcaR1evetGlTI8l89NFHmeZJS0szERERRpL56aefbO2HDx82JUqUMBaLxbz77rsmPT3dNu3vv/82rVu3NpLMuHHjsoznWomJibne1tb969p9/c8//zRfffWVXVzGGHPu3DnTr18/2/54rVtvvdVIMj179jQXL160tR88eNBUrVrV9j6+er+YNWuWkWTatWtnLl26ZLe89PR0s3bt2kz7w/Xs2bPHSDL+/v52+3i1atWMpEzHIGfiaNWqlZFkPvzww0zLOnXqVKbjoPX16d+/v1379u3bja+vr/H19TULFy60mzZ//nzb8fba19W6b1mn7dmzxzbt8uXLZtCgQUaSufPOO+3my8jIsL1nBw8ebM6cOWOblpaWZp544gkjybRq1cpuvi+++MJIMkWKFDHr16+3mzZ+/HhbLNntQ45Y58vK8uXLjSQTFBSUKT/8+9//tr3Ou3btyvFzWvdlR7FmZGSY2267zUgyLVq0sLVfnYueffbZTPuGMf87VnXs2NEcOXLEbtr//d//GUmmSpUq5vLly7b2nTt3Gl9fX+Pj42MWLFhgN8+HH35oLBZLlvt1Vtuua9euRpKpV6+eXZ4x5sprvHjxYofbI7uclt/rlp3sPqNcK6tjnFVW+2VOckJWed4qq+1qbZdk7rvvPrtjpdVzzz1nJJlGjRqZ33//3W7aggULjK+vrylWrJg5efJklvFdy9F2S09PNwcPHjRvv/22CQwMNL6+vubzzz93STyHDx82RYsWNZLMG2+8YTfPV199ZYKCghy+h3PyucG6Lte+v515n8bExBhJZsOGDZme58iRI2b79u12bTnZXxo1amQkmbvuusucPXvW1n706FFbnuzdu7fdPNb3nCRTp04dc/jw4UzLHThwoO1z2LXOnz9v1q1bl2VMAHA1ioQAcsXRB8lTp06ZpUuXmkqVKhlJJjo62u6Dj/WDzYsvvuhwmdYCWNeuXR1Of+SRR4wkc8cdd9i1Wz/glypVyly4cCHTfG+//bbtQ9/VrHG+9dZbmebJyMgwderUMZLMK6+84nDdBw0a5DBOY5wvEl64cMEEBwcbSWbJkiWZ5jl37pyJjIw0ksycOXPsplm3r6P1uXjxoq2Ad3Xh66GHHjKSMhUenPHSSy8ZSaZ+/foOp7/++usOX4cbLRKePHnS9kXi6iLbxYsXTfHixR1+QUtLS7MVjz/99NMcPc+NFAlnzJjhsBhjjDGLFy82kkyDBg3s2q3F4kceecThcx08eND4+/ub8PBwh0VQR6xfdrN7XLutrvcF2pFz584ZPz8/Ex4ebte+fv16I8kEBweb48ePZ5rPWmS6No5XX33V4ZfIG2Hdvt26dbNrtz6Xo9c5t3HUqFHDSDInTpzIUf+sihHWYl6vXr0czte9e/frFgkdHU8OHz5sJJnAwEC7oqe16Fa3bl27H12s0tPTTa1atTLtc23btjWSzDPPPOMwzrp16+ZJkbBNmzZGkhk5cqTD6R07djSSzJAhQ3L8nI6KhJcuXTL//e9/Tc+ePW0xXX3stO4rt9xyi12Bwernn382FovFREdH2xVer9a+fXsjya4Ic//99xtJpkePHg7n6dy5c66KhDt27LAVVQ8ePJjdZrC5Xk5zx7plx5qns3pc/boW5CJh8eLFzalTpzLNd/z4cVOoUKFsX0Nrfn/77bezjO9a19tuDRs2NBs3bnRZPC+//LKRZG6//XaH8zz22GMuLRI6+z4tXLiwCQ0NzfK5rnW9/WXDhg1GkilcuLBJSUnJNH3btm1GkvHx8TF//vmnrf3qIuG1P8RcG/+1hUsAyC3GJATglIEDB9rGWgkLC1OHDh3022+/qVKlSlq2bJmKFCmSaZ6rLym9mnXMnqzG4xo8eLAkacOGDQ7HGLz33nsdXsppvURt7969OnTokCTp4MGD+u233+ymX81isdgux1izZo3DeLJajxuxbds2nT17VsWLF1enTp0yTS9cuLB69uyZbVyO5gsMDFTFihUlyW6Mvttuu02S9Oyzz2rhwoU6e/as07FbXz9H21P63+t39evgCh9++KEuXryohg0bqlatWrb2wMBA9e7dW1LmMea+//57HTt2TCVLlrS7/Dqv3HvvvSpSpIi++uorHTx40G6a9VLjay+FXLp0qSTZxsm7VunSpVWlShUdO3ZMe/fuzVU8RYoUUf/+/R0+cnOZtyTbHV4ffvhhDRw4UAMGDNBDDz2kgIAAHTt2TCdPnrT1XbdunaQrl+oVL14807I6dOjg8JLhhg0bSrpyye3s2bN14sSJXMV4rcuXL9suYb12u/fr109+fn5av3697RjhbBzW/atPnz7auHGj02NIWrdbnz59HE7Pqt3Kz8/P4SWHUVFRKlasmFJTU+3GGLS+97p16yY/v8wj0vj4+Ngurfvmm28kXdmmGzdulCTbTT2u1a9fv2zjdMbly5e1adMmSdfPHVkdM7Nz9XhzAQEBqlmzpubNm6eAgABNnjzZ4fGjS5cu8vX1zdS+bNkyGWPUrl072+XH14qLi5P0v+0q/e/YmtV2zeqYm5UVK1ZIurK/lS5dOlfzZqWgrNu1mjZt6vA458pLcPNS27ZtHd7tfM2aNbpw4YKaNm2a5WvoaHvn1LXbrUOHDipbtqy2bt2qxx9/PFPOcTYe6+uf1THsRl//azn7Pr3tttt0+vRp9evXT99//73DYTFyw7reCQkJioyMzDS9fv36io2NVUZGhu34f7WIiAg1b97c4bKteWfYsGFauXKlLl68eEOxAvBejEkIwClNmzZV5cqVJcl2k5Hbb79dCQkJDr9cSspyoGlr8SomJsbh9EqVKkm6MhbL8ePHFRERYTc9q/mKFi2qEiVK6Pjx4zp48KCio6Ntz1WiRIks76hrfb6sbnyR3YDZzrreNshJXOXKlXPYbl3Pqz8w9u3bV6tWrdKcOXPUrVs3+fr6qkaNGmrWrJm6d++u1q1buyz2sLAwFS9eXCdOnLC9Dq5w7bhyVxs0aJDeeecdffrpp3rnnXdsX7b++OMPSVLVqlWzHNTflYKDg3XPPfcoKSlJs2fPto2RePToUS1dulRBQUHq1auX3Ty///67JGX5ReBqx44d0y233JLjeEqWLJnlIP05dfToUXXr1s1WGMrKmTNnbGMqWQuk2e075cuXz3TTk7i4OD3zzDN67bXX1L9/f1ksFlWpUkVNmzZV586d1alTJ/n45Pz3zqVLlyolJUWlS5dWfHy83bTIyEi1b99eS5Ys0cyZM/XKK684HceECRP0448/avny5Vq+fLkKFSqkW2+9VXFxcerTp4+qV6+eo3ivt92udywqVapUluNWhoSE6OTJk3bHBet774UXXtALL7yQ7bKPHTsmSTp+/LhtGVkdA7I7rjkrJ897vWNmdq4eb87Hx0chISGqUaOG7rrrriwL6lm9HtbtOmPGjOveed26XaX/vf6u2q7W458r73pcUNbtWvfff3+WxWNPcL330urVq6+bw67e3jnlaLtdvnxZo0eP1oQJE9SyZUvt2bPHVmhzNp68fv2v5ez79N1331XHjh31n//8R//5z39sNxBr3bq1+vbtm+Xnrqzk9LPezp07HR63sjvmP/XUU9q4caO++uorJSQkyN/fX7GxsWrRooV69uxp+7ELAK6HIiEApzjzAfzamwHkJ2OMy5blzvXITm6KJT4+Pvrwww/13HPPaenSpdq0aZM2bdqkadOmadq0aerUqZMWLVrk8KyYgmD79u3asWOHJOn999/Xhx9+mKmPj4+PLly4oI8++ijbOwzntUGDBikpKcnuRioffvihLl++rO7du2c6g856pkL37t0dnpF7tWtvDpIf7r//fm3cuFGNGzfWuHHjFBsbq2LFitmKUdHR0Tp8+LDDfS67L5FZTZs4caIefPBBff7559q4caM2bdqkxMREJSYmqmHDhlqzZs11t5OV9cvhxYsX1bJly0zTrV/KkpKS9OKLL9q9/3MTR1RUlLZt26Z169bpq6++0qZNm/Tdd99p06ZNGj9+vCZMmGC7GUlOZLVtrvelPDfHBOl/771mzZrZCmxZcXQDg5tJtWrVcl1Qzyo3WLdr3bp1FRsbm+0yrr2RTEHnDevmjmVf771UuXJlNW3aNNtluKoY7Ofnp5dfflkffPCBDh8+rNmzZ+vhhx92WzzX42jbOvs+rV69uvbs2aMvv/xSX3/9tb755htt2LBBX3/9tV588UXNmDEjy7Nh80J2nz8LFy6sVatWaevWrVqxYoW++eYbffPNN9q2bZveeOMNPfTQQ5o6dWq+xQrAc1EkBOB2pUuX1m+//abff//d7rJRK+svwEFBQQ4vVUxOTna43H/++cd2KV2ZMmVszyVdOQvlzJkzDs8mtD6fqy7Hygnrc2W1LlLexFWjRg3VqFFDTz31lIwx+vrrr9W7d299/vnnmj17do7uhFe6dGnt3r3bFt+1Tp8+bbs801WxX30mwA8//HDdvtYiofVX/19//VXGmHw5m7B58+aqXLmyfv31V23atElNmza1FR8cnQVZtmxZ7d27V88884waNGiQ5/Hlxrlz57Rs2TL5+Pho2bJlmQqc586dU0pKSqb5rK/7/v37s1y29SwnRypUqKDhw4fb7rq6detW3Xfffdq6dateffVVjRs37rqxHz58WMuWLZN0Zf+3XqrqyKFDh7RixQp16NDB6TgsFovi4uJsl7BdvHhRSUlJevjhh/Xcc8+pe/fu1y3ElS5dWr///rv279+vGjVqZJqe3fZ0RtmyZSVJnTt3zvHdzUuUKKHAwEClpqZq//79DouHro7z2uf9/fffVadOnUx93HEsd8S6XZs2bap33nknx/NZc6Ortqv1+Ld79+5czZedgrJuzggICJB05bOCI9kdk9y1bOv2rlq16g2fFZ4bPj4+qlChgv7++2/98ssvNxyP9XNDVq9zVu3X265paWk6fPhwpnZn36fSlSJp+/bt1b59e0lXzpJ/4403NG7cOD3wwAO6++67c/xDlfVYlNXnpaunOXvcatiwoe2swcuXL2vx4sXq16+f3n33XXXv3l2tWrVyarkAvAdjEgJwO+uX6Kw+YM6cOVPSlWKLo0uZFyxYoNTU1Ezt//nPfyRd+YXb+mGrTJkyti/mjp7PGGNrd+aDlPUDbG7HIGvQoIGCg4N14sQJLVmyJNP0CxcuaN68eU7HlRMWi0Vt2rSxjednPVPveqyvn3Wst2tZX78qVaq45Mv6hQsXNHfuXEnS8uXLZa7chCvT4+TJkwoMDNS2bdv0448/SrqynUuWLKljx45p8eLFOXo+Z1/Tq1mLrUlJSfr+++/1008/qWzZsmrTpk2mvu3atZMkzZ8/3+nnyyunT59Wenq6QkJCHI4h+OGHHzo8g9A6jt2KFSvsxiq0Wr58ucP2rDRs2FAPPfSQpJy/T5OSkpSenq5GjRpl+Z4xxujpp5+WlHk8yxuNIygoSA8++KDq1KmjjIwM23syO9btZn2/XyurdmdZ33sLFizI8dnXfn5+tjOI5syZ47CP9VicW9azUx3te35+fmrWrJmk6+cOd38ptm7XJUuW5GqcMOvZrllt19mzZ+cqDuvl08uWLcvx+LDXO/4VlHVzhjUfXV30sjLGaPny5Q7ny0lOyG7Z58+fd2qcTElq06aNAgICtHbtWh09etSpZTgjIyPDVrgLDg6+4Xicff3Dw8MVEBCgEydOOHy+lStXOnxdnH2fOhISEqKxY8cqLCxM58+f16+//mqbdr33hvXz0ooVK3TkyJFM03/44Qft2LHDbvzXG+Hn56fu3bvbhtfIab4E4N0oEgJwu8cee0x+fn5avHhxpstGv/zyS7333nuSlOWZLYcOHdKTTz5pd1OTX375RS+++KIk6fHHH7frb13OSy+9pJ07d9rajTF6+eWXtWPHDoWFhWnIkCG5XhfrGYv//e9/czVfUFCQ7fKdJ554wu4sg7S0ND322GNKSUlRTEyMS26cMnv2bH3//feZ2v/55x/bwNrly5fP0bKGDBmikJAQbd++XePHj7crLvzwww96+eWXJV0ZL8cVPv30U506dUqlSpXSHXfckWW/sLAw281crMUCPz8//etf/5IkDR06VOvXr88039atW+1uMmJ9Tffu3au0tDSnYu7fv798fHw0f/582+U+1rZrPfXUUwoLC9Mbb7yhyZMn69KlS5n6JCcnO7zEOq9FRkaqWLFiOnXqVKbCz7fffqtRo0Y5nK9FixaKjY3VP//8o+HDh9ut06FDh/TEE084nG/RokVav359psvH0tLSbDdhyOn71PoeuN6A+NabbHzxxRe2salyG8frr7+uAwcOZFr27t27bQP/5yTuRx55RD4+Ppo3b54+++wzu2kLFy7Up59+et1l5Ebnzp3VsGFDbdmyRQMHDnQ4ptnJkyc1ffp0uy/BI0aMkCS9/fbbmW6W8Oqrr2r79u1OxXO946n1fTNt2jStXr3ablpSUpKWLFkif39/PfbYY049v6vUq1dP3bp1059//qmuXbs6PEvq3LlzmjNnjl3hYPjw4fL19dX8+fO1aNEiu/7z5s3L8Q8dVnXr1lXnzp114cIFde7cOdN79PLly5l+pLrea1BQ1s0Zbdu2lXSliP3zzz/b2tPS0vTMM89o69atDufLSU6wLnvq1Kl2Y8udO3dOQ4cO1Z9//ulUzJGRkRo+fLjOnTunTp066aeffsrUJzU1VUuWLHHZGaOXL1/W888/r7///luSdNddd91wPIMHD1ZwcLA2b96st956y67/2rVrNX36dIex+Pv724pnzz//vN0xeefOnXrkkUcczufM+/T8+fN64403HB4HN2zYoFOnTsnX19f2fpCuv780a9ZMjRo10oULF/TAAw/o/Pnztml///23HnjgAUlSz549bWc/5tS7776rPXv2ZGpPSUnRtm3bJOU8XwLwcvl1G2UAN4fy5csbSSYxMTHH80gy1zvcvPfee8bHx8dIMrfeeqvp3bu3adq0qbFYLEaSGTt2bKZ5+vfvbySZBx980AQFBZmYmBjTs2dPEx8fbwICAowkc/fdd5uMjAy7+TIyMkzfvn2NJOPn52fatGljevXqZapWrWokmUKFCplly5Zlue7JyclZrkdKSoopUqSIkWSaNm1qBgwYYAYPHmxmzpxp69OyZUsjyaxZs8Zu3osXL5o2bdrYYmjfvr3p0aOHKVeunJFkSpQoYbZt25br7evo+Tp37mwkmejoaNO+fXvTp08f0759exMaGmokmVq1apkzZ85kucxrff755yYoKMhIMtWqVTO9evUybdq0MX5+fkaSGThwYKZ5kpOTjSRTvnz5HD+PMcbExcUZSeapp566bt8lS5bYtl1qaqox5srr/+CDD9q2W7169UzPnj1N+/btTcWKFR2+Ng0aNDCSTNWqVU2fPn3M4MGDzTPPPGObPmbMGCPJjBkzJstYEhISbM9psVjMb7/9lmXfdevWmZIlSxpJJiIiwrRu3dr06dPHdOzY0VSqVMlIMo0aNbru+lslJibmeltb969r9/X/+7//s61Ho0aNTK9evWz7at++fbPcT3766SdTvHhxI8mULl3a3HvvvaZjx46mSJEipmnTpqZx48ZGktm0aZNtnscee8xIMiVLljR33HGH6dOnj7nrrrtMRESEbTl//vnndddl7dq1RpIJDAw0J06cuG7/W2+91Ugyr7/+ulNxWPejatWqmbvvvtv07t3bxMXF2faHfv362T2f9fXp379/pljGjx9v296333676d27t7ntttuMJPPEE08YSaZKlSp28+Rk38rqdfrrr79M3bp1jSRTpEgR06RJE9OzZ0/TtWtXU7duXePr62skmQsXLtjN9/DDDxtJxsfHx8TFxZlevXqZmjVrGh8fH9v2a9my5XW3/dWefPJJ23a/9957zeDBg83gwYPN33//bevz/PPP2/apZs2amd69e9teP19fXzNjxoxcPad1X85NrFntK1c7c+aM7fgeEBBgGjZsaO69915zzz33mIYNG9py1i+//GI336uvvmq3v/Xu3ds0bNjQSDKPP/54lq9zVnnhxIkT5vbbb7fFERcXZ3r37m1at25twsPDM82Tk5yW3+uWndx+RrHmwkKFCpk77rjD3HXXXaZMmTImJCTE9r51tF9eLydcunTJ1ic0NNR06NDBtGvXzoSHh5vSpUubQYMGOcwZOcklaWlppnfv3rb9rV69eqZbt26mR48epmnTprbXa/ny5TnaBsb8b7s1bdrU9O/f3/bo2LGjKVu2rO11+te//uWyeD766CPb8aR27dqmV69epkWLFsZisdhef0fv4W+//db2nrrllltM9+7dTePGjY2/v7/p379/lse23L5PT548aVun2NhY0717d9OrVy/TuHFj22fT0aNH2z1HTvaX3377zRZjRESE6d69u+ncubMJCQmxfQa+Nk+tWbPmusel2NhYI8nExMSYTp06mT59+pg777zTFCpUyEgyrVu3NmlpaVnODwBWFAkB5EpeFQmNufLBr3v37iYqKsr4+fmZEiVKmA4dOpgvv/zSYf+rv5ht377ddOrUyZQoUcIEBgaamjVrmjfeeCPbD0Rz5841cXFxJiwszPj7+5uyZcuaAQMGmN27dzvsn5MioTHGrF+/3rRt29YUK1bMVvi8+ktGVkVCY6582H733XfN7bffbooWLWoCAgJMpUqVzPDhw83BgwcdPp8zRcL169ebESNGmNtuu81ERUWZgIAAExUVZRo3bmzefvttc/bs2WzX0ZGff/7Z9O/f35QpU8b4+/ubsLAw06pVKzNv3jyH/Z0pEu7bt8/24XzXrl3X7Z+Wlmb74vvxxx/bTVu+fLnp3LmziYyMNP7+/iY8PNzcdtttZty4ceb48eN2ff/44w/Tu3dvU6pUKVuh5+q4c/LFbv78+bbXKicFiCNHjpgXXnjB3Hrrrbb3QpkyZUyTJk3MmDFjzI8//njdZVi5skhojDGLFy82TZo0MWFhYSY4ONg0aNDAvPvuuyYjIyPb/SQ5Odn07dvXRERE2N7bzz33nDl//rytQLtnzx5b/x9++ME8++yzplmzZqZ06dImICDAhIeHm/r165vx48fbFYuyY/1RoHv37jnqP2XKFCPJVK9e3ak4PvzwQzNw4EBTq1YtU7x4cRMYGGjKly9v2rVrZxYtWpTph4vsioTGGLNw4ULbl+2iRYuaZs2amcWLF5v169cbSaZx48Z2/W+kSGjMlR8spk+fblq1amVKlChh/Pz8TEREhKlbt655+OGHzcqVKx0uc+bMmaZ+/fomKCjIhIaGmrZt25o1a9bk6AuuIxcuXDBPP/20qVy5su0LvKOYly9fbtq3b2+LNSoqytxzzz3mu+++y9XzGZN3RUJjjElPTzdz58417du3tx13SpQoYWrVqmUGDhxoFi1aZC5dupRpvs8++8w0a9bMFClSxAQHB5smTZqYTz75JNvXObu8kJqaaqZNm2aaN29uwsLCbMeWO+64w0ydOjVT/+vltPxet+zk9jPKxYsXzfPPP28qVqxo/P39TUREhOnVq5fZt29ftvvl9XKCMVeKTI888ogtJ5YuXdoMHTrUHDlyJMuckZNcYrVs2TLTtWtXU7p0aVvOrV69uunZs6eZO3euOXfuXI62gTH/227XPgICAkz58uVNjx49HH5mudF4NmzYYOLj401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"text/plain": [
"<Figure size 1300x1000 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"# Create a figure with a 3x3 grid of subplots\n",
"fig, axes = plt.subplots(2, 3, figsize=(13, 10))\n",
"\n",
"# Flatten the axes array for easier iteration\n",
"axes = axes.flatten()\n",
"\n",
"# Set a color palette\n",
"colors = sns.color_palette(\"mako\", 2) # Choose a palette with two colors\n",
"\n",
"# Find the common axis limits\n",
"max_y = 1 # We know the max will be 1 since we're normalizing\n",
"\n",
"# Loop through each column and plot the proportions\n",
"for i, col in enumerate(vis_columns):\n",
" value_counts = pred_flags[col].value_counts()\n",
" proportions = value_counts / len(pred_flags)\n",
" proportions = proportions.reset_index()\n",
" proportions.columns = ['Value', 'Proportion']\n",
" proportions = proportions.sort_values(by='Value') # Sort to ensure alphabetical order\n",
" sns.barplot(x='Value', y='Proportion', data=proportions, ax=axes[i], palette=colors, hue = 'Value')\n",
" axes[i].set_title(f'{col}')\n",
" axes[i].set_ylabel('Proportion')\n",
" axes[i].set_xlabel('')\n",
" axes[i].set_ylim(0, max_y)\n",
"\n",
" # Ensure y-axis ticks include 0 and 1\n",
" axes[i].set_yticks([0, 0.25, 0.5, 0.75, 1])\n",
" \n",
" # Add counts above the bars\n",
" for index, row in proportions.iterrows():\n",
" count = value_counts[row['Value']]\n",
" axes[i].text(index, row['Proportion'], int(count), color='black', ha=\"center\", va=\"bottom\")\n",
"\n",
"# Hide any remaining empty subplots\n",
"for j in range(i + 1, len(axes)):\n",
" fig.delaxes(axes[j])\n",
"\n",
"# Add a suptitle for the entire figure\n",
"fig.suptitle('Proportions of Active Flags Assigned to Predicted Future Bequestors', fontsize=16)\n",
"\n",
"# Adjust layout\n",
"plt.tight_layout(rect=[0, 0, 1, 0.97]) # Adjust rect to make room for the suptitle\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"# Define the specific column to visualize\n",
"superfund = 'SUPERFUND'\n",
"\n",
"# Set a color palette\n",
"colors = sns.color_palette(\"mako\", 7) \n",
"\n",
"# Calculate proportions for the specific column\n",
"value_counts = pred_flags[superfund].value_counts()\n",
"proportions = value_counts / len(pred_flags)\n",
"proportions = proportions.reset_index()\n",
"proportions.columns = ['Value', 'Proportion']\n",
"\n",
"# Create a figure for the specific plot\n",
"plt.figure(figsize=(8, 6))\n",
"\n",
"# Plot the proportions\n",
"plot = sns.barplot(x='Value', y='Proportion', data=proportions, hue='Value', palette=colors)\n",
"\n",
"# Set title and labels\n",
"plt.title('Active FY24 Superfund Flags Assigned to Predicted Bequest Households')\n",
"plt.ylabel('Proportion')\n",
"plt.xlabel('')\n",
"\n",
"# Rotate x-axis labels\n",
"plt.xticks(rotation=45, ha='right')\n",
"\n",
"# Add counts above the bars\n",
"for index, row in proportions.iterrows():\n",
" plot.text(index, row.Proportion, value_counts[row.Value], color='black', ha=\"center\", va=\"bottom\")\n",
"\n",
"# Ensure y-axis ticks include 0 and 1\n",
"plt.ylim(0, 1)\n",
"plt.yticks([0, 0.25, 0.5, 0.75, 1])\n",
"\n",
"# Show plot\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"planned_gift_only = pred_flags[pred_flags['SUPERFUND'] == 'Planned Gift Only FY23']\n",
"#planned_gift_only"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"# Load full dataset used for training and testing - get DOBs\n",
"bequests_clean = pd.read_csv('bequests_clean.csv')"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['ROI_ID', 'ROI_FAMILY_ID', 'STATE', 'REGION_CODE', 'TOTAL_TRANSACTIONS',\n",
" 'TOTAL_AMOUNT', 'FIRST_GIFT_AMOUNT', 'MRC_AMOUNT', 'HPC_AMOUNT',\n",
" 'DEATH_FLAG', 'YEARS_SINCE_FIRST_GIFT', 'YEARS_SINCE_MRC_GIFT',\n",
" 'YEARS_SINCE_HPC_GIFT', 'BEQUEST_RECEIVED', 'BIRTH_YEAR', 'LE'],\n",
" dtype='object')"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bequests_clean.columns"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"# Add BIRTH_YEAR to pred_ids_df from bequests_clean using ROI_FAMILY_ID\n",
"pred_ids_df = pd.merge(pred_ids_df, bequests_clean[['ROI_FAMILY_ID', 'BIRTH_YEAR']], on='ROI_FAMILY_ID', how='left')"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"# create age column from BIRTH_YEAR in pred_flags\n",
"pred_ids_df['AGE'] = 2024 - pred_ids_df['BIRTH_YEAR']\n",
"#pred_ids_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"208"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# count total number of pred_flag unique ROI_FAMILY_ID with AGE > or equal to 85\n",
"age_85 = pred_ids_df[pred_ids_df['AGE'] >= 85]\n",
"age_85['ROI_FAMILY_ID'].nunique()"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1377, 3)"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred_ids_df.shape"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Define colors\n",
"hist_color = '#393b79' \n",
"\n",
"# Plot age distribution of predicted future bequestors\n",
"plt.figure(figsize=(10, 6))\n",
"sns.histplot(pred_ids_df['AGE'], bins=20, kde=True, \n",
" color=hist_color)\n",
"plt.title('Approximate age distribution of predicted future bequestors')\n",
"plt.xlabel('Age')\n",
"plt.ylabel('Frequency')\n",
"plt.show()\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "scratch",
"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": "3.9.17"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|