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@cordon-thiago
Last active December 1, 2019 23:00
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Import libraries\n",
"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns\n",
"from functions import aux_functions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Read dataset"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"hardbounce = pd.read_csv('datasets/hardbounce_featureEngineering.csv',sep=';')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(483396, 11)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hardbounce.shape"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"emailDomain_cat object\n",
"emailDomainPiece1 object\n",
"emailDomainPiece2 object\n",
"regDate_n object\n",
"birthDate_n object\n",
"monthsSinceRegDate int64\n",
"age int64\n",
"percNumbersInEmailUser float64\n",
"hasNumberInEmailUser int64\n",
"emailUserCharQty int64\n",
"flgHardBounce_n int64\n",
"dtype: object"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hardbounce.dtypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exploratory Analysis"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### monthsSinceRegDate"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe3c4553cf8>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.boxplot(x=\"flgHardBounce_n\", y=hardbounce['monthsSinceRegDate'], data=hardbounce)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 102535.000000\n",
"mean 11.094446\n",
"std 3.797089\n",
"min 1.000000\n",
"25% 8.000000\n",
"50% 11.000000\n",
"75% 14.000000\n",
"max 51.000000\n",
"Name: emailUserCharQty, dtype: float64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['emailUserCharQty'][(hardbounce['flgHardBounce_n'] == 1)].describe()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 380861.000000\n",
"mean 12.009268\n",
"std 3.847866\n",
"min 0.000000\n",
"25% 9.000000\n",
"50% 12.000000\n",
"75% 14.000000\n",
"max 38.000000\n",
"Name: emailUserCharQty, dtype: float64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['emailUserCharQty'][(hardbounce['flgHardBounce_n'] != 1)].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### age"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe29bd78860>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(hardbounce['age'][(hardbounce['flgHardBounce_n'] == 1)])"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe29bddbef0>"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(hardbounce['age'][(hardbounce['flgHardBounce_n'] != 1)])"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 102535.000000\n",
"mean 48.597084\n",
"std 13.376359\n",
"min 18.000000\n",
"25% 42.000000\n",
"50% 47.000000\n",
"75% 54.000000\n",
"max 100.000000\n",
"Name: age, dtype: float64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['age'][(hardbounce['flgHardBounce_n'] == 1)].describe()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 380861.000000\n",
"mean 47.859214\n",
"std 10.061488\n",
"min 18.000000\n",
"25% 47.000000\n",
"50% 47.000000\n",
"75% 47.000000\n",
"max 100.000000\n",
"Name: age, dtype: float64"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['age'][(hardbounce['flgHardBounce_n'] != 1)].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### percNumbersInEmailUser"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe29c05d400>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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iwE+Aw8aYb4c/pOl19tyMktgbmBzujvXF1Lb1cKyuI9KhKKWmKJAW9wbg/cCVIrLH/3V9mOOaNnXtPSQ4hOyU2E7cVy3MIz/dw7bTTZEORSk1RRMOThpjXgViYx34KOrae8hN89i+BvdEEpwObju/mO+/cJwmby/ZqbH9h0qpWBZ789+CVNce2wOTw21cX4xDhNdONkY6FKXUFMR14m7r6qetuz/mlrqPJT89kZXFmewsb8HbOxDpcJRSkxTXiftEgzVQF4srJsdySWkOA4OG109qX7dSdhXXiftUQycAuXHU35uXlsiignS2nmrS+iVK2VRcJ+7TjZ04BDKTY2PzhEBdWppDd/8g289ouVel7Ciu95w83dhJVoo75meUjFScncLc3BReOlrP2jkzpny+0Zb3b1xvr7IHStlJ3Le4c+Kom2S4ty8toLtvkJeOatVApewmbhO3z2c40xS/iXt2ZhKrijN57WQTlc1dkQ5HKRWEuE3cZ9t76On3kZ0aX/3bw12zeCYOgW88cyTSoSilghC3iftMozWjJF5b3AAZSS4uKc1l875antiru8ErZRdxm7hPaeIG4IoFeaydM4PPPrqP41qASilbiNtZJacbO0l0OUhLjNsfAWBttPDAHau54ftb+NBDO/njhzeQlugK2+vpDBSlpi5uW9ynGzspyU7BIfE1FXA0+emJ/OD21ZQ3dXHrj7ZS29Yd6ZCUUuOI28R9prGTubkpkQ4jalw4L5sHP7CWiuYubvrha1S16EwTpaJVXCbu/kEfFc1dnJejiXu4Kxbk8ei9F+FyOvjRK6fYeqoJY3THHKWiTVx18A71rzZ6exnwGc629TI7MznCUUWXBTPTePKjF3Pbptd5Ym8Npxq83LKmCHdCXP6NVzFuYNBHbVsPv91eQXffIHdeWILDBiup4ypxD2ny9gKQE8dzuMeTleLmzgtLePV4I88ePEvfYDnvWz+HBKcmbxVbHtpWzrE677nvl8zO4PySrAhGFJi4/J/Y6O0DdCrgeBwiXFqWy7tXzeZYnZff7qjUjYZVTOkb8HGyvpOVRZls/ujFOAS2HGuIdFgBidPE3Uuiy0Gy2xnpUKLe2pIsblhWwMGadp46UBvpcJQKmfLmTgaNYWVRJktnZ7CiKJNXjttjd6i4Tdw5qR5EpwIGZMP8HC6cm83rJ5v4q257pmLEqQarrPOcbGuc65LSXPZVtdLa1RfhyCYWl4m7ydun3SRBetuSmWSnuPnXR/bptmcqJpxq8FI4IxlPgvXJ+9LSHHwG/mqD3aHibnCyf9BHa3d/zBeXGm2F4lS4ExzcsqaQTVtO8dWnDvPVdy8L6fmVmk69/YNUt3ZzaVnuuftWFGWS5klgy/EGrl9WEMHoJhZ3Le4mHZictDnZKdy14Twe3lbBznLdPUfZ15mmTnwG5uaknrvP5XRw0fxsXjnWGPXrF+IucTeemwqoiXsyPnlNGfnpHr7wxEF8OstE2dTJhk6cDjnXvz3kktJcqlu7Oe0vQhet4i5xn5vDnRLbXSXhkuJJ4HNvX8T+6jZ+v7My0uEoNSmnGr0UZyXjGrE24dJSq+tkS5TPLom7xN3o7SPNk4DHpVMBJ+umlbNYM2cG9z1zlLbu/kiHo1RQuvsGqW3tYe4oJS+Ks5PJTfOwv7otApEFLv4Sd2cv2dpNMiUiwhdvXEJLVx/3P3s00uEoFZSatm4MUJw1ermLsvzUqK9NH3+J29unS91DYOnsDO68sISHtpVToXtWKhupb+8BIC89cdTHS/PSOF7vjeoByriaDtjdN0hn74BtByZDPcVvqj51bRnPHDjL47ur+fAV83HaoDiPUvUd1srp9DE2USnNT6Wrb5Cath5mZyZNc3SBiasWd1OnFpcKpbREF1+8aQln23t49bg9ajwoVd/RS15a4pgrp0vz0gA4FsXdJXGVuIeKS2kfd+i8bclMlsxK58+H67XLRNlCfXsPeWlj54DSPGtu94lhVQOjTZwl7l4Eq2ypCp2bVxWSkezi4W3luhxeRbUmby+dfYNj9m8DzEhxk5Pq4Xi9trijQqO3l8xk11vmbqqpSXI72biumK6+QX6zvULLv6qodbzeakWP1+IGq9V9zM4tbhH5qYjUi8iB6QgonLS4VPjMykziXStnc6qhk99sr6B/0BfpkJR6i0ATd1l+KieieGZJILNKfgb8EPhFeEMJL2MMjd5eVhVnRjqUmLV6zgy6+wf50/5aPvrwbn6wcVVEP92MNgtn4/riCESiosWJug48CQ4yklzjHjc/Pw1v7wBn23soyIi+mSUTJm5jzCsiUhL+UMKroaOX3gGftrhHEcpphhvm5yACm/fVcvcvdvDDjatJ8cTVrFMVxY7VeclLm7gW/9AA5bE6b1Qm7rjp7D1x7iPS2IMSKjQumpfD125exsvHGrht01YaOnojHZJSgNVVEkgOKMu3pgRG6wrKkCVuEblbRHaIyI6Ghuib03uywUrcuRP0banQuH1dMT++cy0n6r2857//SnVrd6RDUnGupbOPRm8veekT54CsFDfZKW6OR+kAZcgStzFmkzFmrTFmbW5u7sRPmGYn6r14EsZeLaVC76pF+fz67gto6erjtk2vU6PJW0XQiYbgPnXPz0uN2imBcZPFTjR4yQ2gb0uF1sqiTB66az3ve3Abt23ayu3riiccGIKx+911cFFN1tBKyEBa3GB1lzy+pxpjTNTljUCmA/4aeB1YICJVInJX+MMKvZP1neTqwGRErCjK5Jf/tJ4mby+/2lauUwVVRByv85LsdgbUcACrZklHzwB17dE3RjNh4jbG3G6MKTDGuIwxhcaYn0xHYKHU0dPP2fYe7d+OoJVFmXzn1pVUtXTz+O7qqJ0fq2LXiXovpXmpOAJsPc/3zyyJxu6SuJhVcrLB2oZookn3KryuXTKTqxbmsbuy1RY7aavYcqyug/n+AlKB+NvMkugboIyPxF0/NKNEpwJG2hUL81hckM7TB2qp1KJUapq0dfVT39FLaX7qxAf7Zae4mZHs0hZ3pJxo8JLgEC0uFQUcIrxndSHpSS5+s72Cnv7BSIek4sCJBiv5lgWRuEXE2lRBW9yRcaLeS0lOihb6jxJJbie3rS2irbufP2h/t5oGQ8m3NIiuErAGKI/VdUTd72hcJO6TDV7m5wb+l1aFX3F2Ctcsymd/dRu/eL080uGoGHeszkuiyxH0jjaleam09wxE3erfmE/cfQM+ypu6mJf31h2dVWRdUpbLwplp/OfmQ2w/0xzpcFQMO17fwfy8VBxBfuouHRqgrI+u7pKYT9zlTZ0M+sy5qT0qejhE+Lu1RRRlJfPPv9pFnX8TV6VC7US9l7Igu0mAc4OZ0baNWcwn7qEaJfNzg3/TVPglupz86P1r6Owd4B9/tp2Onv5Ih6RiTEdPP7VtPcwPYmBySG6qh4wkl7a4p9uhmnYcgnaVRLGy/DQeuGM1R8928MFf7NCZJiqkhpJusAOTMDSzJDXq9p+M+cS9r7qNsvw0kt1xU5bFlq5YkMf9713B1lPNfPw3u/FF2Si+sq+hpBvMVMDhSvPTOFYfXTNLYjpxG2M4UN3GstkZkQ5FBeBdq2bz+Xcu5tmDdfxxj04TVKFxvN7a9aZwRvKknl+al0prVz+N3r4QRzZ5MZ24a9t6aPT2sbxQE7dd/MOG8/jIFfPZfqaF5w/XRTocFQOO13uZl5s66XUcQwOU0bSpQkwn7n1VbQAs1Ra3rXzq2jLOL5nBS0cb2HZaa5qoqTle5510NwnAooJ0AA7WtIcqpCmL6Y7f/dWtJDjk3A9e2YOIcNPK2bR19/Pk3hry0hI5L2f6B5d1s2H7a+7so7q1m/cXzJn0OXJSPczOTGJPVWsII5uamG9xl+WnkehyRjoUFSSHCLeuLSYrxc3D28pp7Yqe/kVlH3srrWS7sihzSudZUZTBPk3c4WeMYX91m/Zv21iS28n7LpjDgM/w0LZy+gZ0AwYVnN2VrTiEKU9QWF6YSWVzN82d0dGAiNnEXdXSTWtXP8s0cdtaXloit55fRG1rD4/trtKZJiooeypbKctPI8UztV7hoQZgtLS6YzZx76+2BiaXz57aRyQVeQtnpnPt4nz2VbWx6ZVTkQ5H2YQxhr2VrVPuJgGrxS4CeyvbQhDZ1MXs4OS+qjbcTgdlM7VGSSy4tCyXmrYevv7MEdKTXNy+TgcJ1fhON3bS1t0fksSdluhiXm5q1LS4YzZx761sZcHMNDwJOjAZC8S/AUNOqpvPPbaflq4+7r1s3pt23+7qG+CPe2r49RsVVDR34fMZ0hJdvGN5AXOyteRBvNkzNDBZHJpP3csLM3jlWGNU7Poek4nb2zvAzvIWPnDR5KcAqejjTnCw6c61fPr3e7nvmaO8cLieKxfmkZvq4aVj9bx8tIHOvkEWzkzjnctncai2nVMNXn685RRXL8rn0rLcSF+CmkZ7KltJcTsnVaNkNCuLMnlsVzW1bT3MCrKud6jFZOJ+9XgjfYM+rlqUH+lQVABGmy89FpfTwXf+biWLC9J5Ym8N33z2KAD56R5uXDmL96wuZM2cGYgID2+ztkb7w+5qnjtUR1NnH3esL454a0lNjz2VrSwrzAjZzlfLC62W+76qVk3c4fDC4TrSExNYM2dGpENRYeBwCB+6bB4fumwe9e09tHT1U5afOmpCTnQ5ue38IrJT3bx0tIEHt5zmg5fOjUDUajr19A9yuLaduy4O3Xu9qCANl1PYU9nGdUsLQnbeyYi5xO3zGV48Ws9lC/JwOWN20ozyy0tPJC89cdxjRISrF+XT2NHLV58+zLy8FK5cqJ/GYtnBmnb6B01IBiaHeBKcLC5I540oKMMQc5ltX3Ubjd4+rl6UF+lQVBRxiHDLmiKWzErnY7/ew9Gz0VMwSIXey8caECHkn7qvWpTPropWzrZFdremmEvcLxyuwyFwmQ5EqRHcCQ5+fOdakt1O7vr5dpq80bUBrAoNYwxP7q3hwrnZ5KZ5Qnru65dZXSRPH6gN6XmDFYOJu561c7LITHZHOhQVhQoykvjxnWtp6Ojlnod2TrjbTnVrN88fOsvP/nqa+549wsYfb+XrTx9hV0XLNEWsgnWgup3TjZ3cuGJWyM89Py+VhTPTeGq/Ju6QqWzu4lBtO1dpN4kax4qiTL753hVsP9PCux547S3dJgODPv5ypI4Ht5zigRdP8PKxBtq7ByiakUxHzwA/efUUN//XX7nnlzs51RBdW1opeGJvNS6n8PYwDSBev6yAHeUtEe0uianByf966SRup4N3huEvrYotN66YRZongc88spd3/vBVblwxi7w0D939g2zeV0tDRy/piQm8felMzi/JOldhcuP6Yjp7B/jJq6f50csneeFIHZ+4uowPXTqXBB0Mjzifz/Dk3louK8slI9kVlte4flkB337+GE8fqOUfNpwXlteYSMwk7srmLn6/o5Lb1xVHfI6lsocrFubxzCcu5fNPHOTlYw20dPYhYu1/efPq2dR39JLgeGsyTvEk8LGrSrl9XTFfePIg33z2KH8+XMc3b1nB/LzJlVjQ2t+h8caZZs629/C56xeG7TXm56WyIN/qLtHEPUU//MsJHA7hn6+YF+lQlI3kpHp4YONqwBrU6h80uBOsZD3RwqDcNOu5b1tSw388foDrv7eFey+fx72Xz9Ma8BHy+O5qklxOrlkc3ume1y8r4LsvHON4XQel+aFZmRmMmEjc5U2dPLKrivdfMIeCDG1tq8kREdwJwa+yu3HFLC6cm82X/3SI771wnMd2V/GhS+dxy5pCTeCjCNeni10VLfzO/6k72R3e1HbHBcX8719P89nH9vP7D12II0SrMwNl+0657r5BPvPIPhIcwr2Xa2tbTb+Ht1Xw/KE61p+XzT9sKMEY+L+PH+Dib7zI//vjAV451kB33/izV3zG4O0doK69h9ONnZxs8LKzvIVjdR0TPldZBcY+9bu9FGQk8dm3h6+bZEhOqof/uGExO8tb+OXW8rC/3kgB/VkSkeuA7wFO4EFjzNfDGlWAevoHuevn29lxppnv3LqS/GEr6IKpf6HsI9r7gkvz0pifm8qpxk5eP9nEr9+o4BevW/+xM5NcVsVKl5MEh+DtGaCps5cgPKbeAAAMg0lEQVTmzj5au/oZuUXET149fe52XpqHkuwUirOTKclOpjg7hZLsZOZkpYRtEC4U2rr7OVzbzqGadg7VtnO4tp2Kpi4GjUGAzGQ3M1LctHb3sf68bJYXZkxqxfPXnjrCmaZOHv6nC0hLnJ6fx82rZ/P4nmrue+YIVy7MoygreVpeFwJI3CLiBB4ArgGqgO0i8oQx5lC4gxvPvqpWvvynw2w/08z9t6zgppWzIxlO3Aj0D2I8/+EUEeblpjIvN5X+QR8nG7zUtHbT6O3DGGjv7qd/0EeqJ4EFM9PISnFT09pDsttJiieBFHcCDgdcPD+Htu5+Kpu7ONPURUVTF88ePEtHz8CbXi/J5WROdjI5qR6yUtxkp7rJTnGT4kkg0eUkyeUk0eUk0eU4dzvJbd3vTnDgEMEh+P8VxGHdFiCQely9/T5au/tp8vZS0dzFmcZOjpzt4FBtO1Ut3eeOy05xs3hWOkkuJ06H4DPQ1t1HbWs39z1jFQtLdjtZM2cGF8zN5oK5WSybnXluzGE01a3dfOVPh3hq/1nuuvg8LpyXPan3bDJEhK++exnXffcVbnrgNb500xJuWFYwLUXMAmlxrwNOGGNOAYjIb4CbgJAn7oM1baS4E8hIcpHssfoGjbHKtLZ391PR3MWRsx28dLSeraeaSfMk8M1bVvCeNYWhDkXFkXD+kXE5HSycmc7CmenA2J8ORovh8gVvXY/w8LYK+gZ8NHf2nWutN3n76Ojpp7ypk0O17XT2DtAbwf05HQIlOSnMSHazpCCdgswkZmYkkuZJGDOpvW1JPm+cbmbrqSa2nmo+V/UxyeVk6ex05uakUpydTIrbicflpLath+N1Hbx4tB6Af7mmLCJdpUVZyfzhwxv4zO/38pGHd7N5SS3fvnVF2PvYAzn7bKBy2PdVwPpwBHPLf79O9wQr2QDmZCfzb9cv5PZ1xdP2sUjFhqkm6Ug/H6yl+zMzEpmZMXZxrYFBHzeunEV3/yA9/T66+wbp7h/kqf219A/46Bv0MTBo6Pf5MAYM1qyakbdHs2rExgQup4PDte0ku51kpXiYkewKek77swfrAFgwM50FM9Px9g5QNCOJbaebOVTTzgtH6mj0/m2jXofAnOwUblg2i09eU0rhjOnrphipLD+NR++9iB9vOc3O8haSpmFAWibafFVE3gu8zRjzT/7v3w+sM8Z8dMRxdwN3+79dABwNfbhvkgM0hvk1IkWvzb5i+fr02sJrjjEmoCJLgbS4q4CiYd8XAjUjDzLGbAI2BRReCIjIDmPM2ul6vemk12ZfsXx9em3RI5DPM9uBUhE5T0TcwG3AE+ENSyml1FgmbHEbYwZE5CPAs1jTAX9qjDkY9siUUkqNKqChT2PMU8BTYY4lWNPWLRMBem32FcvXp9cWJSYcnFRKKRVdbL/kXSml4k1UJ24RuU5EjorICRH57CiPe0Tkt/7Ht4lIyfRHOXkBXN+/iMghEdknIi+IyJxIxDkZE13bsONuEREjIrYZ0Q/k2kTk7/zv3UEReXi6Y5yKAH4vi0XkRRHZ7f/dvD4ScQZLRH4qIvUicmCMx0VEvu+/7n0isnq6YwyYNdE++r6wBkJPAnMBN7AXWDzimH8G/sd/+zbgt5GOO8TXdwWQ7L99r12uL5Br8x+XBrwCbAXWRjruEL5vpcBuYIb/+7xIxx3i69sE3Ou/vRg4E+m4A7y2S4HVwIExHr8eeBoQ4AJgW6RjHusrmlvc55baG2P6gKGl9sPdBPzcf/sR4CqZjkIBoTHh9RljXjTGdPm/3Yo1h94OAnnvAP4TuA+I7JbZwQnk2j4IPGCMaQEwxtRPc4xTEcj1GSDdfzuDUdZ1RCNjzCtA8ziH3AT8wli2ApkiEp79z6YomhP3aEvtR1aSOneMMWYAaAOmr8rM1ARyfcPdhdUasIMJr01EVgFFxpjN0xlYCATyvpUBZSLymohs9VfXtItAru8LwPtEpAprttlHiQ3B/p+MmGjeSGG0lvPIKTCBHBOtAo5dRN4HrAUuC2tEoTPutYmIA/gO8PfTFVAIBfK+JWB1l1yO9Slpi4gsNca0hjm2UAjk+m4HfmaM+ZaIXAj80n99katsFRq2ySfR3OIOZKn9uWNEJAHrY9t4H4WiSUClBETkauDfgRuNMb3TFNtUTXRtacBS4CUROYPVn/iETQYoA/29/KMxpt8Ycxqrbk/pNMU3VYFc313A7wCMMa8DiVi1PuwuoP+T0SCaE3cgS+2fAD7gv30L8BfjH2WwgQmvz9+d8COspG2nftJxr80Y02aMyTHGlBhjSrD67280xuyITLhBCeT38nGsgWVEJAer6+TUtEY5eYFcXwVwFYCILMJK3A3TGmV4PAHc6Z9dcgHQZoypjXRQo4r06OgEo8DXA8ewRrn/3X/fl7D+k4P1C/N74ATwBjA30jGH+Pr+DNQBe/xfT0Q65lBd24hjX8Ims0oCfN8E+DZWzfr9wG2RjjnE17cYeA1rxske4NpIxxzgdf0aqAX6sVrXdwH3APcMe98e8F/3/mj+ndSVk0opZTPR3FWilFJqFJq4lVLKZjRxK6WUzWjiVkopm9HErZRSNqOJW4WMv8rft4Z9/2kR+UKIzv0zEbklFOcacd6XJlr4IyJfEJFqEdkz7CtzvOcE+Nr3iMid/tvnrk9Ezvjnfw8dd7mI2K00gAqjaF7yrqKQiCQYqy7MaHqBm0Xka8aYSO+YfY6IOI0xg1M8zXeMMfeHJCA/Y8z/hPJ84/EXXxNj/2XpCm1xxyURKRGRIyLyc3/d4UdEJFlE1ojIyyKyU0SeHaqM5m+VflVEXgY+LiL5IvIHEdnr/7rIf+oBrJKfnxzlNd/UYhYRr//fy/2v+TsROSYiXxeRO0TkDRHZLyLzhp3mahHZ4j/uHf7nO0XkmyKy3X8tHxp23hfFqoW9X0RSRORP/ngPiMito8ToFZGv+I/ZKiL5E/wc/15EHheRJ0XktIh8RKwa6rv9z8/yH/dBf3x7ReRREUn23/8FEfl0oO+b/zmXDWv17xaRNP/9nxn2M/ii/74SETksIv8F7OLNy7mVjWnijl8LgE3GmOVAO/Bh4AfALcaYNcBPga8MOz7TGHOZMeZbwPeBl40xK7DqGw/fPPoB4A4RyQgilhXAx4FlwPuBMmPMOuBB3lx5rgSr0NYNwP+ISCLW6rc2Y8z5wPnAB0XkPP/x67BW/i0GrgNqjDErjDFLgWdGiSMF2Oq/rlewyrMO+eSwhPnisPuXAhv9r/UVoMsYswp4HbjTf8xjxpjz/ec97I95sj4NfNgYsxK4BOgWkWuxaqGsA1YCa0TkUv/xC7BKla4yxpRP4XVVFNGukvhVaYx5zX/7IeDfsJLQ89anapxYy4OH/HbY7SvxJyV/F0Tb0APGmHYR+QXwMaA7wFi2G39NCBE5CTznv38//poffr/zf9Q/LiKngIXAtcDyYa35DKwk1ge8YawiT0Pnul9EvgFsNsZsGSWOPmCoL3kncM2wx8bqKnnRGNMBdIhIG/DksNdb7r+9VES+DGQCqcCz4/wsYPSKdEP3vQZ8W0R+hfUHocqfuK/F2rwB/2uUYtUUKTdWbWkVQzRxx6+RyaEDOGiMuXCM4zuDOPd3sT6a/++w+wbwf8Lz97e6hz02vOqhb9j3Pt78OzoyZoNVX+Kjxpg3JUMRuXx4zMaYYyKyBqsOx9dE5DljzJdGnK/f/K0GxCCB/f8IJPafAe8yxuwVkb/HKvc6niZgBjA0TpA1dNsY83UR+ZP/OraKVT1SgK8ZY340/CRibeUXzPumbEK7SuJXsVi1lMGqr7wVyB26T0RcIrJkjOe+gLWV2lAfc/rwB40xzVhlP4d3CZwB1vhv3wS4JhHze0XE4e/3notVLvVZ4F4RcfnjKRORlJFPFJFZWN0YDwH3Y3XxTJc0oNYf4x0BHP8SVpcRIuIE3ge86P9+njFmvzHmG8AOrE8dzwL/KCKp/mNmi0heyK9CRQ1N3PHrMPABEdmH1aL7AVZp3G+IyFDVt4vGeO7HgStEZD9Wl8JoCf5bvLlG84+By0TkDWA9k2sJHgVextoJ6B5jTA9WP/ghYJdYm8D+iNFbysuAN0RkD1Z98y8H+drD+7j3SHAbU/8HsA14HjgSwPH/Ccz3vw+7sapfPuR/7BP+wdW9WF1RTxtjngMeBl73vyePYP2xUDFKqwPGIX/S2ewfpFNK2Yy2uJVSyma0xa2UUjajLW6llLIZTdxKKWUzmriVUspmNHErpZTNaOJWSimb0cStlFI28/8BQU3nwxc/IpoAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(hardbounce['percNumbersInEmailUser'][(hardbounce['percNumbersInEmailUser'] > 0.0) & (hardbounce['flgHardBounce_n'] == 1)])"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe29be3e908>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(hardbounce['percNumbersInEmailUser'][(hardbounce['percNumbersInEmailUser'] > 0.0) & (hardbounce['flgHardBounce_n'] != 1)])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 102535.000000\n",
"mean 0.046244\n",
"std 0.144954\n",
"min 0.000000\n",
"25% 0.000000\n",
"50% 0.000000\n",
"75% 0.000000\n",
"max 1.000000\n",
"Name: percNumbersInEmailUser, dtype: float64"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['percNumbersInEmailUser'][(hardbounce['flgHardBounce_n'] == 1)].describe()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 380861.000000\n",
"mean 0.044656\n",
"std 0.104640\n",
"min 0.000000\n",
"25% 0.000000\n",
"50% 0.000000\n",
"75% 0.000000\n",
"max 1.000000\n",
"Name: percNumbersInEmailUser, dtype: float64"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['percNumbersInEmailUser'][(hardbounce['flgHardBounce_n'] != 1)].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### emailDomain_cat"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe2abe7c908>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df = aux_functions.freqTable(\n",
" [hardbounce[\"emailDomain_cat\"]]\n",
" ,[hardbounce[\"flgHardBounce_n\"]]\n",
" ,False\n",
" ,\"columns\"\n",
").sort_values(by=\"emailDomain_cat\")\n",
"\n",
"sns.heatmap(df, cmap=\"YlGnBu\", annot=True, cbar=True, fmt='g')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### emailDomainPiece1"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe2a99fc898>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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y7j6c4PA9d08nMHxPRKRoiLfQHxEQarLeaWblCFxcxMxaAFvDFpWISCGLiwv9kR8za29mP5vZEjN76BBlrjSzH81skZm9l1+doY4G6QV8DtQxs2lABaBLiK8VEYl6BdW7YWbxwKsE1ppdBcwys8+zz4tkZnWBvkArd99sZhXzqzfU0SDfm1kbAvOCGPCzu6cdwfsQEYlKBdgV3QxY4u5LA/XaB0Ancs6RdDvw6r75/t19Q36V5re6eTt3n2BmV+Q69Cczw90/OZx3ICISrewwsrWZdQe6Z9s1xN2HBJ9XBVZmO7YKaJ6rij8F65kGxAP93f3/8jpnfi3rNsAE4NKDHHNAyVpEioTDaVkHE/OQQxw+WE2eazsBqAucA1QDpppZfXffcqhz5rdg7uPBn1rkVkSKtLj4AqtqFVA923Y1YM1ByswIdif/ZmY/E0jesw4ZX15nNLPmZvaDme0ws2/N7NQji11EJLoV4DDrWUBdM6sVnPDuagIDNLL7FGgbOK+VJ9AtsjSvSvMbhPIq8ABQDngReDnfMEVEYlBBLcEYvA+lB4EbCX8Chrv7IjMbmG1CvDHARjP7EZgI9Hb3jXnVm1+fdVy2FWFGmFnffMqLiMSkgrwx0d1HA6Nz7euX7bkTGBLdK9Q680vWZXKNBMmxrdEgIlJURPkSjPkm68nkHAmSfVujQUSkyDicoXuRkN9oEI0CEZFjQgGOBgmLUBfMPQ7oDJyY/TXuPjA8YYmIFK4ob1iHPDfIZwQmbpoD7A1fOCIikVFUknU1d28f1khERCIoylf1CnmK1OlmdnpYIxERiaAoX3sg5Jb12cBNZvYbgW4QIzBUsEHYIhMRKURxEVpUIFShJusOYY1CRCTCYrrP2sxKufs2QKuZi0iRFtPJGngPuITAKBAn59R/DtQOU1wiIoUqppO1u18S/FmrcMIREYmMaB8NEmqfNWaWTGC+1eP37XP3KeEISkSksMV0y3ofM7sNuJfAJNrzgBbAt0C78IUmIlJ4ov1281DHWd8LNAWWu3tb4Azg97BFJSJSyMws5EckhNoNssfd9wQDPc7dF5vZyWGNTESkEBWJbhBglZmVIbAUzTgz28yBa4qJiMSsIpGs3f3y4NP+ZjYRKA3kuWz60dq9YkA4q5cYlZa5K9IhSBFVJJI1ZI0GqU7gBpntQH3g+zDFJSJSqIrE0D0zewK4icDqu5nB3Y5Gg4hIEZEQ55EOIU+htqyvBOq4e2o4gxERiZRob1mHOnRvIVAmnIGIiERS3GE8IiHUlvUgYK6ZLSTbSjHu3jEsUYmIFLI4KxrdIO8AzwAL2N9nLSJSZER7N0ioyfoPd38lrJGIiERQQhFJ1nPMbBDwOTm7QTR0T0SKBCsi3SBnBH+2yLZPQ/dEpMgoEt0gwcmbRESKrEiN8ghVqDfFlAYeB1oHd00GBrr71nAFJiJSmKJ9NEioXyZvEbjF/MrgYxvwdriCEhEpbHEW+iMSQu2zruPunbNtDzCzeeEISEQkEqJ9NEioLevdZnb2vg0zawXsDk9IIiKFL8485EckhNqy/gvwTrDv2oBNwI1hi0pEpJAVldEg84CGZlYquL0trFGJiBSymB8NEly+qztwSnDXT2Y2xN1/CWtkIiKFKKZHg5jZWcAkAiNBhgBvAjuBSWbWIo+XiojElFgfDdIP6Obuk7Lt+9TMJhAYd90hXIGJiBSmghwNYmbtgb8D8cC/3P3pQ5TrAowAmrr77LzqzK+bpk6uRA2Au08GaocStIhILCio0SBmFg+8SqAxWw/oZmb1DlKuJHAPMDOk+PI5vj2PYztDOYGISCwowG6QZsASd18aXF3rA6DTQco9ATwL7Aklvvy6Qaqb2cGmRjWgaignEBGJBQU4GqQqsDLb9iqgefYCZnYGUN3dvzSzB0KpNL9k3TuPY3n2r4iIxJLDuXBoZt0JjJLbZ4i7D9l3+CAvyeo7MbM44CUCi5CHLM9k7e7vHE5lIiKxKv4wVjcPJuYhhzi8CqiebbsasCbbdkmgPoFRdQCVgM/NrGNeFxnzTNZm9gXZvhEOErDWYBSRIqEAu0FmAXXNrBawGrgauGbfweBspeX3bZvZJOCB/EaD5NcN8vyRRisiEksK6qYYd083sx7AGAJD995y90VmNhCY7e6fH0m9+XWDTD6SSkVEYk1B3uzi7qOB0bn29TtE2XNCqTO/bpDh7n6lmS3gIN0h7t4glJOIiES7WJ/I6d7gz0vCHYiISCTFRzqAfOTXDbI2+HN54YQjIhIZCYcxGiQSQroAamYtzGyWme0ws1QzyzAzTZMqIkVGrE/ktM9gAsNPRgBNgBuAk8IVlIhIYYuP8T7rLO6+xMzi3T0DeNvMpocxLhGRQhXrFxj32WVmScA8M3sWWAsUD19YIiKFK6YXH8jmegIXS3sQmG2vOtA5z1eIiMSQRAv9EQmhrsG4bzTIbmBA+MIREYmMaO8GCXU0yCVmNtfMNpnZNjPbrtEgIlKUFNTiA+ESap/1y8AVwAJ3j+6OHRGRI1BURoOsBBYqUYtIURXt3SChJus+wGgzmwzs3bfT3V8MS1QiIoWsqCTrJ4EdwPFAUvjCERGJjMQov9081GRd1t0vCGskIiIRVICLD4RFqPF9bWZK1iJSZBWVuUHuBnqbWSqQRmBBSHf3UmGLTESkEBWVPuvSwLVALXcfaGY1gMrhC0tEpHDFF5HbzV8FWgDdgtvbCczEJyJSJBSVbpDm7n6mmc0FcPfNwYmdRESKhIQov8IYarJOM7N4guswmlkFIDNsUYmIFLKicgfjK8BIoKKZPQl0AR4NW1QiIoUs2qdIDXXWvXfNbA5wLoGRIJe5+09hjSxGTJkyhyeffJPMzEy6dj2f7t275jiemppGnz4vsmjR/yhTpiQvvdSHatVSmDZtLi+88A5paekkJibQu/fNnHVWQwAWLlxC374vs2dPKm3aNOaRR7pjFvja/+9/v2DYsFEkJMTRpk1T+vS5GYA33hjBRx+NIy4ujkcf7c6f/3wme/emcu21D5GamkZGRgYXXtiKe+65FoCHH36FhQt/xR1q1arCoEE9KV68WCF+ckXbN1Pn8fRTQ8nIzKRzl3bcdvtlOY6npqbR98FX+fHHpZQpU5LnX7yXqlUrsnr1Bjpe3IsTa1UBoEHDujze/3Z2795Lr54vsWrleuLi4jinbWPuu/8aAD4dOYkXnhtGxZSyAHS75kK6dD0XgM8+ncwb//wEgDv+cgWdLmsDwOhR03jzjZFgRsWKyTz9bA+Sk0uxePEynuj/L3bt2kOVqhV45rm/UqLECYXymUValPeCHNZKMYuBxWGMJeZkZGQwcODrvP32E6SklKNLl160a9eck06qkVVmxIixlCpVgnHjhjBq1BSef34oL7/8IMnJpfjnPx8jJaUcv/yynFtv7cfUqe8A0L//awwc2INGjU7m9tv7M2XKHNq0acKMGfMZP34mX3zxD5KSEtm4cQsAS5asYNSoKYwa9Srr12/k5psfY8yY10lKSuSdd56kePFipKWlc801D9K6dWMaNTqFhx++Les/4aBB/+Ldd7884ItGjkxGRiZ/e+It3vz3I1RKKcdVV/albdsm1DmpWlaZTz6aQKnSxflqzCuMHjWNF59/jxde6glA9eopfDzy2QPqvfmWS2jWvD5pqencessTTJ0ylz+3PgOA9h1a8shjt+Qov3XLDv756kd8OGIQGFzVpS/ntG1M8eLFePqpoXz25QskJ5fiheeG8d67Y7i7R1cef+wNHuh9PU2b1eOTjyfy9r+/4K/3XhXGTyt6RPvQvWj/Molq8+f/Ss2alalevRJJSYlcfHFrxo+fmaPMhAkzufzyQCvnwgtb8e23P+Du1KtXh5SUcgDUrVuD1NQ0UlPT2LBhEzt27OKMM07BzLjssnaMHz8DgPffH0337l1ISkoEoFy5MgCMHz+Tiy9uTVJSItWrV6JmzcrMn/8rZpbVWk5PTyc9PT2rhb4vUbs7e/akEviDSQrCgvlLqFEjherVU0hMSqDDRS2ZMGFWjjITJsymU6dAK/eCC1swc8ZC8ponrVix42jWvD4AiUkJnFqvFuvXbcozjmnTfuCslqdTukwJSpcuwVktT2faN4HfP3dn9669uDs7du6mYsVkAJb9tpYmTU8F4KyWpzNu3My8TlGkJMZ5yI9IKLRkbWbJZtagsM5XGNav30ilSuWztlNSyrF+/cYDylSuHCiTkBBPyZLF2bw551TgY8ZM59RTa5OUlHhAnZUqlc+qc9myNcyevYiuXe/nuuseYv78Xw4Rx/7XZGRk0KnTPbRseT0tW55Bw4YnZ5Xr2/dlWrW6gaVLV3H99ZcUxEciwIYNm6hUqVzWdkpKOTas35yzzPpNVKocKJOQEE+JkiewZct2AFav/p0uVzzITdf3Z87sA3sbt23byeSJc2h+Vv2sfePGzuTyTr25794XWbv2DwDWrz8wjvXrN5GYmMBjj9/G5Z1607b1nSxdsoorOrcD4KS61Zk4YTYAY8fMYN3anL/PRVm0D90La7I2s0lmVsrMygI/EFhot8jM1HewltC+lmuoZX79dTnPPz+UgQPvzrd8RkYG27btYPjw5+nT5xZ69nwmq5V04GsCP+Pj4/nss1eYPPlt5s//hV9+WZ5VZtCgnkydOpQ6daoxevQ3IbxjCUVe/x77yxz4OsOoUCGZceNf5aNPnqH3QzfQp/c/2LFjV1aZ9PQM+jzwCtde157q1VMAOOecxowdP5iRnz1Hi7NO55G+r+UZR1paOh9+MI4RnzzNxCmv86eTa/KvISMBeOLJO3n/vbFc2fkhdu7cTWJiyD2lMe+YTtZAaXffRmDhgrfdvTFw3qEKm1l3M5ttZrOHDPkwzKEdvUqVyrNu3R9Z2+vXb6RixbIHlNnX0klPz2D79p2UKVMSgHXr/qBHj6d45pn7qFGj8kHrXLfuj6w6U1LKc/75LTEzGjT4E3FxcWzevO0gcfxBxYr7W1QApUqVoHnz05k6dU6O/fHx8Vx00Z8ZO3ba0X4cEpSSUo516/a3SNev30iFYDdDVplKZbNarenpGezYvovSZUqQlJRImeTA78dpp9WmevUUli1bm/W6/o8PoUbNSlx/48VZ+8okl8zqGuvS9Vx+XLQUgEqVDoyjYsWyLF68DIAaNSphZlzYvgXz5gb+Sqtduypv/vsRhn/8NBdd1IrqNVIK6mOJenGH8YhUfOGUYGaVgSuBL/Mr7O5D3L2Juzfp3j36L2qcfnpdli1bw8qV60hNTWPUqCm0a9csR5l27ZozcuR4AMaMmUaLFg0wM7Zt20H37gPo1esGGjeul1W+YsWyFC9ejHnzFuPufPrpBM49twUA553XghkzfgDgt99Wk5aWTnJyKdq1a8aoUVNITU1j5cp1LFu2hgYN6rJp01a2bdsBwJ49e5k+fR61a1fD3Vm+fA0QaH1NnPgdtWtXQwpG/dPrsGL5Olat2kBaajpfjZ5O27ZNcpRp27YJn302GQh0NzRvcRpmxqZN28jICNzCsHLlelYsX0v1aoGE+crLH7Bj+y4e6ntjjrp+37C/i2XihNnUrl0VgFatGjJ92ny2bt3B1q07mD5tPq1aNSQlpSz/W7KKTZsC3XHfTl9A7TqB12zcuBWAzMxM3nj9E6686vyC/niillnoj0gI9984A4AxwDfuPsvMagO/hvmchSYhIZ5+/e7kttseJyMjk86dz6Nu3Zr8/e/DqF+/Luee25wuXc6nd+8XOf/87pQuXYKXXuoDwLBho1ixYi2vvfYhr70W+CvirbcGUq5cGfr3vytr6F7r1o1p3boxAJ07n8fDD7/CJZfcTWJiAk8/3RMzo27dmnTocDYXXXQX8fGBmOLj49mwYRMPPfQyGRmZuGfSvv3ZtG3bjMzMTB588GV27tyFu3PyybUYMOCuiH2ORU1CQjwPP3oLd9z2FBmZmVx+xTmcVLc6g18Zzmn1a9O2XROu6NKWvg8OpsOF91C6dAmee+FeAObM/onBrwwnPiGO+Lg4+vW/ndJlSrBu3UaGvDGSWrWr0LXzQ8D+IXrDhn3FpAlziE+Io3TpEvxtUODfsnSZEtzxl85cfeXDANx5V2dKlykBwF/u7sKN1z/XmXDhAAAIpUlEQVROQkICVaqU58mnAq8ZPWoaH7w3FoDzzm/G5VecU5gfXURF+yV2C9dKXcE7Hu9x95eOrIZfonuEukREWuau/AvJMScxrtFR59rv/xgVcs45s/zFhZ7bw9YN4u4ZQMdw1S8iUpDMPORHJIS7G2S6mQ0GPgR27tvp7t+H+bwiIocl2rtBwp2sWwZ/Dsy2z4F2YT6viMhhidSFw1CFNVm7e9tw1i8iUlCiPFeH/aaYFDP7t5l9FdyuZ2a3hvOcIiJH4li/KWYogaF7VYLbvwA9w3xOEZHDVpDJ2szam9nPZrbEzB46yPFeZvajmc03s/FmVjPf+I7sbYWsvLsPJ7hQgbunAxlhPqeIyGGzw3jkWU9g2PKrQAegHtDNzOrlKjYXaOLuDYCPgAOnWcwl3Ml6p5mVY/8KMy2ArWE+p4jIYSuoZA00A5a4+1J3TwU+ADplL+DuE919300DM4B8byEO92iQXsDnQB0zmwZUILDKjIhIVCnAvuiqwMps26uA5nmUvxX4Kr9Kwz0a5HszawOcTOAL6Wd3TwvnOUVEjsTh5Goz6w50z7ZriLsPyaOqg95JY2bXAU2ANvmdszDmP2wGnBg815lmhrv/pxDOKyISssNZgzGYmIcc4vAqoHq27WrAmtyFzOw84BGgjbvvze+cYU3WZvZfoA4wj/0XFh1QshaRqFKAN8XMAuqaWS1gNXA1cE3Oc9kZwBtAe3ffEEql4W5ZNwHqebhmixIRKSAFNdrC3dPNrAeBYcvxwFvuvsjMBgKz3f1z4DmgBDAiuLjICnfPcy6lcCfrhUAlYG1+BUVEIqkgbzd399HA6Fz7+mV7fshFWA4lLMnazL4g0N1REvjRzL4Dsvpk8vsGEREpbNF+u3m4WtbPh6leEZGwOCYncnL3yQBm9oy7P5j9mJk9A0wOx3lFRI5UfJQn63DfwXiwBdw6hPmcIiKHrQDvYAyLcPVZ/wW4i8Cdi/OzHSoJTA/HOUVEjkakVoAJVbj6rN8jcPvkIOBpoHVw/zfuPjdM5xQROWJR3gsSnm4Qd9/q7ssITFAyDChPYF6Qd8zsr+E4p4jI0TAL/REJ4R5nfSvQwt13QtbFxW+Bf4T5vCIihyXaW9bhTtZGzvmrM4j+z0REjkHRPhok3Mn6bWCmmY0Mbl8G/DvM5xQROQLRna3DPUXqi2Y2CTibwCdxsy4wikg0smM5WUNgTmvg+3CfR0TkaJiF+7aTo1MY81mLiMSAY7xlLSISCyzsN3QfHSVrERHUDSIiEiPUDSIiEvWO+dEgIiKxQMlaRCQmqM9aRCTq6QKjiEgMUDeIiEhMUMtaRCTqqWUtIhIDLMqXN1eyFhEBdFOMiEgMMOIjHUKelKxFRFA3iIhIjFCyFhGJepoiVUQkJqhlLSIS9eJ0u7mISCxQshYRiXq6g1FEJCYoWYuIRD2NsxYRiQnR3Wdt7h7pGCQfZtbd3YdEOg6JLvq9OLZE91eJ7NM90gFIVNLvxTFEyVpEJAYoWYuIxAAl69igfkk5GP1eHEN0gVFEJAaoZS0iEgOUrKOcmbU3s5/NbImZPRTpeCTyzOwtM9tgZgsjHYsUHiXrKGZm8cCrQAegHtDNzOpFNiqJAkOB9pEOQgqXknV0awYscfel7p4KfAB0inBMEmHuPgXYFOk4pHApWUe3qsDKbNurgvtE5BijZB3dDjazjIbviByDlKyj2yqgerbtasCaCMUiIhGkZB3dZgF1zayWmSUBVwOfRzgmEYkAJeso5u7pQA9gDPATMNzdF0U2Kok0M3sf+BY42cxWmdmtkY5Jwk93MIqIxAC1rEVEYoCStYhIDFCyFhGJAUrWIiIxQMlaRCQGKFmLiMQAJWvJYmb3mNlPZrbazAbnU/bE3FN0mll/M3vgKGNYZmblg88zzGyemf1gZt+bWcujqVskliVEOgCJKncRmI61DdAk3Cczs4TgjT+HstvdGwXLXggMCsYmcsxRy1oAMLPXgdoEbmdPzra/jpnNMLNZZjbQzHaEWN/twdf8YGYfm9kJwf1DzexFM5sIPGNm5cxsrJnNNbM3OPjkVQClgM3BOszMnjOzhWa2wMyuCu4/x8y+zBbDYDO7Kfh8mZkNCLbQF5jZKcH9Jczs7eC++WbWObj/AjP7Nlh+hJmVyOO9HrRukYKkZC0AuPudBCaJakswKQb9Hfi7uzflwEmk6gS7KeaZ2TzgzmzHPnH3pu7ekMCt8tlvif4TcJ673w88Dnzj7mcQ+KKoka1csWDdi4F/AU8E918BNAIaAucBz5lZ5RDe5h/ufibwT2Bfd81jwFZ3P93dGwATgt0wjwZjPBOYDfQ6grpFCoySteTnLGBE8Pl7uY79z90b7XsAr2c7Vt/MpprZAuBa4LRsx0a4e0bweWtgGIC7jyLnF8XuYN2nEFgZ5T9mZsDZwPvunuHu64HJQNMQ3ssnwZ9zgBODz88jsBoPwRg2Ay0IrMwzLfgldCNQ8wjqFikw6rOWcBkKXObuPwS7Is7JdmxnrrL5TlDj7t8GW7wVOHRXSTo5GyDH5zq+N/gzg/2/+3aQ8xswzt275RdXPnWLFBi1rCU/M4DOwedXH8brSgJrzSyRQMv6UKbsO25mHcjWX55dsB84HtgYfM1VZhZvZhUItM6/A5YD9czsODMrDZwbQpxjCcxsuO88yQTecyszOym47wQz+1MIdYmEjZK15Kcn0MvMvgMqA1tDfN1jwExgHLA4j3IDgNZm9j1wAbAi27Fi2frDPwRuDHafjATmAz8AE4A+7r7O3VcCw4PH3gXmhhDn34Dk4MXKH4C27v47cBPwvpnNJ5C8ddFQIkpTpEqegqM4dru7m9nVQDd316K9IoVMfWuSn8bA4OCFvS3ALRGOR+SYpJa1SIjMbCRQK9fuB919TCTikWOLkrWISAzQBUYRkRigZC0iEgOUrEVEYoCStYhIDFCyFhGJAf8Pt8JUnOBxxQ4AAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df = aux_functions.freqTable(\n",
" [hardbounce[\"emailDomainPiece1\"]]\n",
" ,[hardbounce[\"flgHardBounce_n\"]]\n",
" ,False\n",
" ,\"columns\"\n",
").sort_values(by=\"emailDomainPiece1\")\n",
"\n",
"sns.heatmap(df, cmap=\"YlGnBu\", annot=True, cbar=True, fmt='g')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### emailDomainPiece2"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe29c1d4b38>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df = aux_functions.freqTable(\n",
" [hardbounce[\"emailDomainPiece2\"]]\n",
" ,[hardbounce[\"flgHardBounce_n\"]]\n",
" ,False\n",
" ,\"columns\"\n",
").sort_values(by=\"emailDomainPiece2\")\n",
"\n",
"sns.heatmap(df, cmap=\"YlGnBu\", annot=True, cbar=True, fmt='g')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### emailUserCharQty"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe29bc330b8>"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(hardbounce['emailUserCharQty'][(hardbounce['flgHardBounce_n'] == 1)])"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fe29bb45ef0>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(hardbounce['emailUserCharQty'][(hardbounce['flgHardBounce_n'] != 1)])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 102535.000000\n",
"mean 11.094446\n",
"std 3.797089\n",
"min 1.000000\n",
"25% 8.000000\n",
"50% 11.000000\n",
"75% 14.000000\n",
"max 51.000000\n",
"Name: emailUserCharQty, dtype: float64"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['emailUserCharQty'][(hardbounce['flgHardBounce_n'] == 1)].describe()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 380861.000000\n",
"mean 12.009268\n",
"std 3.847866\n",
"min 0.000000\n",
"25% 9.000000\n",
"50% 12.000000\n",
"75% 14.000000\n",
"max 38.000000\n",
"Name: emailUserCharQty, dtype: float64"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Describe \n",
"hardbounce['emailUserCharQty'][(hardbounce['flgHardBounce_n'] != 1)].describe()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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