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"source": [
"# Correlation Matrix"
]
},
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"cell_type": "code",
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"import pandas as pd\n",
"import data_describe as dd"
]
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"from sklearn.datasets import load_boston\n",
"data = load_boston()\n",
"df = pd.DataFrame(data.data, columns=list(data.feature_names))\n",
"df['target'] = data.target\n",
"\n",
"#Bin values\n",
"df['AGE'] = df['AGE'].map(lambda x: \"young\" if x < 29 else \"old\")\n",
"df['CRIM'] = df['CRIM'].map(lambda x: \"low\" if x < df.CRIM.median() else \"high\")\n",
"#Convert to integer\n",
"df['ZN'] = df['ZN'].astype(int)"
]
},
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\n",
" \n",
" \n",
" | \n",
" CRIM | \n",
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" CHAS | \n",
" NOX | \n",
" RM | \n",
" AGE | \n",
" DIS | \n",
" RAD | \n",
" TAX | \n",
" PTRATIO | \n",
" B | \n",
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"exception": false,
"start_time": "2020-08-06T21:13:18.660112",
"status": "completed"
},
"tags": []
},
"source": [
"## Enable clustering"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"papermill": {
"duration": 0.632424,
"end_time": "2020-08-06T21:13:19.328346",
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" | \n",
" ZN | \n",
" INDUS | \n",
" CHAS | \n",
" NOX | \n",
" RM | \n",
" DIS | \n",
" RAD | \n",
" TAX | \n",
" PTRATIO | \n",
" B | \n",
" LSTAT | \n",
" target | \n",
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\n",
" \n",
" \n",
" \n",
" | ZN | \n",
" 1.000000 | \n",
" -0.533583 | \n",
" -0.042533 | \n",
" -0.516310 | \n",
" 0.312218 | \n",
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" -0.391203 | \n",
" 0.175341 | \n",
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\n",
" \n",
" | INDUS | \n",
" -0.533583 | \n",
" 1.000000 | \n",
" 0.062938 | \n",
" 0.763651 | \n",
" -0.391676 | \n",
" -0.708027 | \n",
" 0.595129 | \n",
" 0.720760 | \n",
" 0.383248 | \n",
" -0.356977 | \n",
" 0.603800 | \n",
" -0.483725 | \n",
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" \n",
" | CHAS | \n",
" -0.042533 | \n",
" 0.062938 | \n",
" 1.000000 | \n",
" 0.091203 | \n",
" 0.091251 | \n",
" -0.099176 | \n",
" -0.007368 | \n",
" -0.035587 | \n",
" -0.121515 | \n",
" 0.048788 | \n",
" -0.053929 | \n",
" 0.175260 | \n",
"
\n",
" \n",
" | NOX | \n",
" -0.516310 | \n",
" 0.763651 | \n",
" 0.091203 | \n",
" 1.000000 | \n",
" -0.302188 | \n",
" -0.769230 | \n",
" 0.611441 | \n",
" 0.668023 | \n",
" 0.188933 | \n",
" -0.380051 | \n",
" 0.590879 | \n",
" -0.427321 | \n",
"
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" \n",
" | RM | \n",
" 0.312218 | \n",
" -0.391676 | \n",
" 0.091251 | \n",
" -0.302188 | \n",
" 1.000000 | \n",
" 0.205246 | \n",
" -0.209847 | \n",
" -0.292048 | \n",
" -0.355501 | \n",
" 0.128069 | \n",
" -0.613808 | \n",
" 0.695360 | \n",
"
\n",
" \n",
" | DIS | \n",
" 0.663845 | \n",
" -0.708027 | \n",
" -0.099176 | \n",
" -0.769230 | \n",
" 0.205246 | \n",
" 1.000000 | \n",
" -0.494588 | \n",
" -0.534432 | \n",
" -0.232471 | \n",
" 0.291512 | \n",
" -0.496996 | \n",
" 0.249929 | \n",
"
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" \n",
" | RAD | \n",
" -0.311712 | \n",
" 0.595129 | \n",
" -0.007368 | \n",
" 0.611441 | \n",
" -0.209847 | \n",
" -0.494588 | \n",
" 1.000000 | \n",
" 0.910228 | \n",
" 0.464741 | \n",
" -0.444413 | \n",
" 0.488676 | \n",
" -0.381626 | \n",
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" \n",
" | TAX | \n",
" -0.314338 | \n",
" 0.720760 | \n",
" -0.035587 | \n",
" 0.668023 | \n",
" -0.292048 | \n",
" -0.534432 | \n",
" 0.910228 | \n",
" 1.000000 | \n",
" 0.460853 | \n",
" -0.441808 | \n",
" 0.543993 | \n",
" -0.468536 | \n",
"
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" \n",
" | PTRATIO | \n",
" -0.391203 | \n",
" 0.383248 | \n",
" -0.121515 | \n",
" 0.188933 | \n",
" -0.355501 | \n",
" -0.232471 | \n",
" 0.464741 | \n",
" 0.460853 | \n",
" 1.000000 | \n",
" -0.177383 | \n",
" 0.374044 | \n",
" -0.507787 | \n",
"
\n",
" \n",
" | B | \n",
" 0.175341 | \n",
" -0.356977 | \n",
" 0.048788 | \n",
" -0.380051 | \n",
" 0.128069 | \n",
" 0.291512 | \n",
" -0.444413 | \n",
" -0.441808 | \n",
" -0.177383 | \n",
" 1.000000 | \n",
" -0.366087 | \n",
" 0.333461 | \n",
"
\n",
" \n",
" | LSTAT | \n",
" -0.413195 | \n",
" 0.603800 | \n",
" -0.053929 | \n",
" 0.590879 | \n",
" -0.613808 | \n",
" -0.496996 | \n",
" 0.488676 | \n",
" 0.543993 | \n",
" 0.374044 | \n",
" -0.366087 | \n",
" 1.000000 | \n",
" -0.737663 | \n",
"
\n",
" \n",
" | target | \n",
" 0.360580 | \n",
" -0.483725 | \n",
" 0.175260 | \n",
" -0.427321 | \n",
" 0.695360 | \n",
" 0.249929 | \n",
" -0.381626 | \n",
" -0.468536 | \n",
" -0.507787 | \n",
" 0.333461 | \n",
" -0.737663 | \n",
" 1.000000 | \n",
"
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" \n",
"
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