diff --git a/1_data_cleaning.ipynb b/1_data_cleaning.ipynb
index 095d19b..3ea742d 100644
--- a/1_data_cleaning.ipynb
+++ b/1_data_cleaning.ipynb
@@ -14,37 +14,6 @@
"## \"Housekeeping\""
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "List all the Python packages used with their respective version."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2018-09-03 16:10:26 CEST\n",
- "\n",
- "CPython 3.6.5\n",
- "IPython 6.5.0\n",
- "\n",
- "numpy 1.15.1\n",
- "pandas 0.23.4\n"
- ]
- }
- ],
- "source": [
- "% load_ext watermark\n",
- "% watermark -d -t -v -z -p numpy,pandas"
- ]
- },
{
"cell_type": "markdown",
"metadata": {},
@@ -54,7 +23,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -74,7 +43,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -102,27 +71,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Allow cells to be run with a \"%%black\"\n",
- "# prefix to make the code look beautiful.\n",
- "% load_ext blackcellmagic"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "% matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -157,7 +106,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -185,7 +134,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -203,6 +152,1289 @@
"df = df[ALL_VARIABLES + TARGET_VARIABLES]"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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\n",
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\n",
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+ " 2nd Flr SF | \n",
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+ " 0.0 | \n",
+ " GasA | \n",
+ " Ex | \n",
+ " 1Story | \n",
+ " 1 | \n",
+ " Gd | \n",
+ " Lvl | \n",
+ " Gtl | \n",
+ " 4920.0 | \n",
+ " Inside | \n",
+ " 41.0 | \n",
+ " Reg | \n",
+ " 0.0 | \n",
+ " 120 | \n",
+ " RL | \n",
+ " 0.0 | \n",
+ " None | \n",
+ " NA | \n",
+ " 0.0 | \n",
+ " 4.0 | \n",
+ " StoneBr | \n",
+ " 0.0 | \n",
+ " 5 | \n",
+ " 8 | \n",
+ " Y | \n",
+ " 0.0 | \n",
+ " NA | \n",
+ " CompShg | \n",
+ " Gable | \n",
+ " Normal | \n",
+ " WD | \n",
+ " 0.0 | \n",
+ " Pave | \n",
+ " 6 | \n",
+ " 1338.0 | \n",
+ " AllPub | \n",
+ " 0.0 | \n",
+ " 2001.0 | \n",
+ " 2001.0 | \n",
+ " 2010.0 | \n",
+ " 213500 | \n",
+ "
\n",
+ " \n",
+ " 8 | \n",
+ " 527145080 | \n",
+ " 1280.0 | \n",
+ " 0.0 | \n",
+ " 0 | \n",
+ " NA | \n",
+ " 2 | \n",
+ " TwnhsE | \n",
+ " TA | \n",
+ " No | \n",
+ " 0.0 | \n",
+ " 0.0 | \n",
+ " Gd | \n",
+ " 1017.0 | \n",
+ " 263.0 | \n",
+ " 0.0 | \n",
+ " ALQ | \n",
+ " Unf | \n",
+ " Y | \n",
+ " Norm | \n",
+ " Norm | \n",
+ " SBrkr | \n",
+ " 0.0 | \n",
+ " TA | \n",
+ " Gd | \n",
+ " HdBoard | \n",
+ " HdBoard | \n",
+ " NA | \n",
+ " NA | \n",
+ " 0.0 | \n",
+ " PConc | \n",
+ " 2.0 | \n",
+ " Typ | \n",
+ " 506.0 | \n",
+ " 2.0 | \n",
+ " TA | \n",
+ " RFn | \n",
+ " TA | \n",
+ " Attchd | \n",
+ " 1992.0 | \n",
+ " 1280.0 | \n",
+ " 0.0 | \n",
+ " GasA | \n",
+ " Ex | \n",
+ " 1Story | \n",
+ " 1 | \n",
+ " Gd | \n",
+ " HLS | \n",
+ " Gtl | \n",
+ " 5005.0 | \n",
+ " Inside | \n",
+ " 43.0 | \n",
+ " IR1 | \n",
+ " 0.0 | \n",
+ " 120 | \n",
+ " RL | \n",
+ " 0.0 | \n",
+ " None | \n",
+ " NA | \n",
+ " 0.0 | \n",
+ " 1.0 | \n",
+ " StoneBr | \n",
+ " 82.0 | \n",
+ " 5 | \n",
+ " 8 | \n",
+ " Y | \n",
+ " 0.0 | \n",
+ " NA | \n",
+ " CompShg | \n",
+ " Gable | \n",
+ " Normal | \n",
+ " WD | \n",
+ " 144.0 | \n",
+ " Pave | \n",
+ " 5 | \n",
+ " 1280.0 | \n",
+ " AllPub | \n",
+ " 0.0 | \n",
+ " 1992.0 | \n",
+ " 1992.0 | \n",
+ " 2010.0 | \n",
+ " 191500 | \n",
+ "
\n",
+ " \n",
+ " 9 | \n",
+ " 527146030 | \n",
+ " 1616.0 | \n",
+ " 0.0 | \n",
+ " 0 | \n",
+ " NA | \n",
+ " 2 | \n",
+ " TwnhsE | \n",
+ " TA | \n",
+ " No | \n",
+ " 1.0 | \n",
+ " 0.0 | \n",
+ " Gd | \n",
+ " 415.0 | \n",
+ " 1180.0 | \n",
+ " 0.0 | \n",
+ " GLQ | \n",
+ " Unf | \n",
+ " Y | \n",
+ " Norm | \n",
+ " Norm | \n",
+ " SBrkr | \n",
+ " 0.0 | \n",
+ " TA | \n",
+ " Gd | \n",
+ " CemntBd | \n",
+ " CmentBd | \n",
+ " NA | \n",
+ " TA | \n",
+ " 1.0 | \n",
+ " PConc | \n",
+ " 2.0 | \n",
+ " Typ | \n",
+ " 608.0 | \n",
+ " 2.0 | \n",
+ " TA | \n",
+ " RFn | \n",
+ " TA | \n",
+ " Attchd | \n",
+ " 1995.0 | \n",
+ " 1616.0 | \n",
+ " 0.0 | \n",
+ " GasA | \n",
+ " Ex | \n",
+ " 1Story | \n",
+ " 1 | \n",
+ " Gd | \n",
+ " Lvl | \n",
+ " Gtl | \n",
+ " 5389.0 | \n",
+ " Inside | \n",
+ " 39.0 | \n",
+ " IR1 | \n",
+ " 0.0 | \n",
+ " 120 | \n",
+ " RL | \n",
+ " 0.0 | \n",
+ " None | \n",
+ " NA | \n",
+ " 0.0 | \n",
+ " 3.0 | \n",
+ " StoneBr | \n",
+ " 152.0 | \n",
+ " 5 | \n",
+ " 8 | \n",
+ " Y | \n",
+ " 0.0 | \n",
+ " NA | \n",
+ " CompShg | \n",
+ " Gable | \n",
+ " Normal | \n",
+ " WD | \n",
+ " 0.0 | \n",
+ " Pave | \n",
+ " 5 | \n",
+ " 1595.0 | \n",
+ " AllPub | \n",
+ " 237.0 | \n",
+ " 1995.0 | \n",
+ " 1996.0 | \n",
+ " 2010.0 | \n",
+ " 236500 | \n",
+ "
\n",
+ " \n",
+ " 10 | \n",
+ " 527162130 | \n",
+ " 1028.0 | \n",
+ " 776.0 | \n",
+ " 0 | \n",
+ " NA | \n",
+ " 3 | \n",
+ " 1Fam | \n",
+ " TA | \n",
+ " No | \n",
+ " 0.0 | \n",
+ " 0.0 | \n",
+ " TA | \n",
+ " 994.0 | \n",
+ " 0.0 | \n",
+ " 0.0 | \n",
+ " Unf | \n",
+ " Unf | \n",
+ " Y | \n",
+ " Norm | \n",
+ " Norm | \n",
+ " SBrkr | \n",
+ " 0.0 | \n",
+ " TA | \n",
+ " TA | \n",
+ " VinylSd | \n",
+ " VinylSd | \n",
+ " NA | \n",
+ " TA | \n",
+ " 1.0 | \n",
+ " PConc | \n",
+ " 2.0 | \n",
+ " Typ | \n",
+ " 442.0 | \n",
+ " 2.0 | \n",
+ " TA | \n",
+ " Fin | \n",
+ " TA | \n",
+ " Attchd | \n",
+ " 1999.0 | \n",
+ " 1804.0 | \n",
+ " 1.0 | \n",
+ " GasA | \n",
+ " Gd | \n",
+ " 2Story | \n",
+ " 1 | \n",
+ " Gd | \n",
+ " Lvl | \n",
+ " Gtl | \n",
+ " 7500.0 | \n",
+ " Inside | \n",
+ " 60.0 | \n",
+ " Reg | \n",
+ " 0.0 | \n",
+ " 060 | \n",
+ " RL | \n",
+ " 0.0 | \n",
+ " None | \n",
+ " NA | \n",
+ " 0.0 | \n",
+ " 6.0 | \n",
+ " Gilbert | \n",
+ " 60.0 | \n",
+ " 5 | \n",
+ " 7 | \n",
+ " Y | \n",
+ " 0.0 | \n",
+ " NA | \n",
+ " CompShg | \n",
+ " Gable | \n",
+ " Normal | \n",
+ " WD | \n",
+ " 0.0 | \n",
+ " Pave | \n",
+ " 7 | \n",
+ " 994.0 | \n",
+ " AllPub | \n",
+ " 140.0 | \n",
+ " 1999.0 | \n",
+ " 1999.0 | \n",
+ " 2010.0 | \n",
+ " 189000 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " 1st Flr SF 2nd Flr SF 3Ssn Porch Alley Bedroom AbvGr \\\n",
+ "Order PID \n",
+ "1 526301100 1656.0 0.0 0 NA 3 \n",
+ "2 526350040 896.0 0.0 0 NA 2 \n",
+ "3 526351010 1329.0 0.0 0 NA 3 \n",
+ "4 526353030 2110.0 0.0 0 NA 3 \n",
+ "5 527105010 928.0 701.0 0 NA 3 \n",
+ "6 527105030 926.0 678.0 0 NA 3 \n",
+ "7 527127150 1338.0 0.0 0 NA 2 \n",
+ "8 527145080 1280.0 0.0 0 NA 2 \n",
+ "9 527146030 1616.0 0.0 0 NA 2 \n",
+ "10 527162130 1028.0 776.0 0 NA 3 \n",
+ "\n",
+ " Bldg Type Bsmt Cond Bsmt Exposure Bsmt Full Bath \\\n",
+ "Order PID \n",
+ "1 526301100 1Fam Gd Gd 1.0 \n",
+ "2 526350040 1Fam TA No 0.0 \n",
+ "3 526351010 1Fam TA No 0.0 \n",
+ "4 526353030 1Fam TA No 1.0 \n",
+ "5 527105010 1Fam TA No 0.0 \n",
+ "6 527105030 1Fam TA No 0.0 \n",
+ "7 527127150 TwnhsE TA Mn 1.0 \n",
+ "8 527145080 TwnhsE TA No 0.0 \n",
+ "9 527146030 TwnhsE TA No 1.0 \n",
+ "10 527162130 1Fam TA No 0.0 \n",
+ "\n",
+ " Bsmt Half Bath Bsmt Qual Bsmt Unf SF BsmtFin SF 1 \\\n",
+ "Order PID \n",
+ "1 526301100 0.0 TA 441.0 639.0 \n",
+ "2 526350040 0.0 TA 270.0 468.0 \n",
+ "3 526351010 0.0 TA 406.0 923.0 \n",
+ "4 526353030 0.0 TA 1045.0 1065.0 \n",
+ "5 527105010 0.0 Gd 137.0 791.0 \n",
+ "6 527105030 0.0 TA 324.0 602.0 \n",
+ "7 527127150 0.0 Gd 722.0 616.0 \n",
+ "8 527145080 0.0 Gd 1017.0 263.0 \n",
+ "9 527146030 0.0 Gd 415.0 1180.0 \n",
+ "10 527162130 0.0 TA 994.0 0.0 \n",
+ "\n",
+ " BsmtFin SF 2 BsmtFin Type 1 BsmtFin Type 2 Central Air \\\n",
+ "Order PID \n",
+ "1 526301100 0.0 BLQ Unf Y \n",
+ "2 526350040 144.0 Rec LwQ Y \n",
+ "3 526351010 0.0 ALQ Unf Y \n",
+ "4 526353030 0.0 ALQ Unf Y \n",
+ "5 527105010 0.0 GLQ Unf Y \n",
+ "6 527105030 0.0 GLQ Unf Y \n",
+ "7 527127150 0.0 GLQ Unf Y \n",
+ "8 527145080 0.0 ALQ Unf Y \n",
+ "9 527146030 0.0 GLQ Unf Y \n",
+ "10 527162130 0.0 Unf Unf Y \n",
+ "\n",
+ " Condition 1 Condition 2 Electrical Enclosed Porch Exter Cond \\\n",
+ "Order PID \n",
+ "1 526301100 Norm Norm SBrkr 0.0 TA \n",
+ "2 526350040 Feedr Norm SBrkr 0.0 TA \n",
+ "3 526351010 Norm Norm SBrkr 0.0 TA \n",
+ "4 526353030 Norm Norm SBrkr 0.0 TA \n",
+ "5 527105010 Norm Norm SBrkr 0.0 TA \n",
+ "6 527105030 Norm Norm SBrkr 0.0 TA \n",
+ "7 527127150 Norm Norm SBrkr 170.0 TA \n",
+ "8 527145080 Norm Norm SBrkr 0.0 TA \n",
+ "9 527146030 Norm Norm SBrkr 0.0 TA \n",
+ "10 527162130 Norm Norm SBrkr 0.0 TA \n",
+ "\n",
+ " Exter Qual Exterior 1st Exterior 2nd Fence Fireplace Qu \\\n",
+ "Order PID \n",
+ "1 526301100 TA BrkFace Plywood NA Gd \n",
+ "2 526350040 TA VinylSd VinylSd MnPrv NA \n",
+ "3 526351010 TA Wd Sdng Wd Sdng NA NA \n",
+ "4 526353030 Gd BrkFace BrkFace NA TA \n",
+ "5 527105010 TA VinylSd VinylSd MnPrv TA \n",
+ "6 527105030 TA VinylSd VinylSd NA Gd \n",
+ "7 527127150 Gd CemntBd CmentBd NA NA \n",
+ "8 527145080 Gd HdBoard HdBoard NA NA \n",
+ "9 527146030 Gd CemntBd CmentBd NA TA \n",
+ "10 527162130 TA VinylSd VinylSd NA TA \n",
+ "\n",
+ " Fireplaces Foundation Full Bath Functional Garage Area \\\n",
+ "Order PID \n",
+ "1 526301100 2.0 CBlock 1.0 Typ 528.0 \n",
+ "2 526350040 0.0 CBlock 1.0 Typ 730.0 \n",
+ "3 526351010 0.0 CBlock 1.0 Typ 312.0 \n",
+ "4 526353030 2.0 CBlock 2.0 Typ 522.0 \n",
+ "5 527105010 1.0 PConc 2.0 Typ 482.0 \n",
+ "6 527105030 1.0 PConc 2.0 Typ 470.0 \n",
+ "7 527127150 0.0 PConc 2.0 Typ 582.0 \n",
+ "8 527145080 0.0 PConc 2.0 Typ 506.0 \n",
+ "9 527146030 1.0 PConc 2.0 Typ 608.0 \n",
+ "10 527162130 1.0 PConc 2.0 Typ 442.0 \n",
+ "\n",
+ " Garage Cars Garage Cond Garage Finish Garage Qual \\\n",
+ "Order PID \n",
+ "1 526301100 2.0 TA Fin TA \n",
+ "2 526350040 1.0 TA Unf TA \n",
+ "3 526351010 1.0 TA Unf TA \n",
+ "4 526353030 2.0 TA Fin TA \n",
+ "5 527105010 2.0 TA Fin TA \n",
+ "6 527105030 2.0 TA Fin TA \n",
+ "7 527127150 2.0 TA Fin TA \n",
+ "8 527145080 2.0 TA RFn TA \n",
+ "9 527146030 2.0 TA RFn TA \n",
+ "10 527162130 2.0 TA Fin TA \n",
+ "\n",
+ " Garage Type Garage Yr Blt Gr Liv Area Half Bath Heating \\\n",
+ "Order PID \n",
+ "1 526301100 Attchd 1960.0 1656.0 0.0 GasA \n",
+ "2 526350040 Attchd 1961.0 896.0 0.0 GasA \n",
+ "3 526351010 Attchd 1958.0 1329.0 1.0 GasA \n",
+ "4 526353030 Attchd 1968.0 2110.0 1.0 GasA \n",
+ "5 527105010 Attchd 1997.0 1629.0 1.0 GasA \n",
+ "6 527105030 Attchd 1998.0 1604.0 1.0 GasA \n",
+ "7 527127150 Attchd 2001.0 1338.0 0.0 GasA \n",
+ "8 527145080 Attchd 1992.0 1280.0 0.0 GasA \n",
+ "9 527146030 Attchd 1995.0 1616.0 0.0 GasA \n",
+ "10 527162130 Attchd 1999.0 1804.0 1.0 GasA \n",
+ "\n",
+ " Heating QC House Style Kitchen AbvGr Kitchen Qual \\\n",
+ "Order PID \n",
+ "1 526301100 Fa 1Story 1 TA \n",
+ "2 526350040 TA 1Story 1 TA \n",
+ "3 526351010 TA 1Story 1 Gd \n",
+ "4 526353030 Ex 1Story 1 Ex \n",
+ "5 527105010 Gd 2Story 1 TA \n",
+ "6 527105030 Ex 2Story 1 Gd \n",
+ "7 527127150 Ex 1Story 1 Gd \n",
+ "8 527145080 Ex 1Story 1 Gd \n",
+ "9 527146030 Ex 1Story 1 Gd \n",
+ "10 527162130 Gd 2Story 1 Gd \n",
+ "\n",
+ " Land Contour Land Slope Lot Area Lot Config Lot Frontage \\\n",
+ "Order PID \n",
+ "1 526301100 Lvl Gtl 31770.0 Corner 141.0 \n",
+ "2 526350040 Lvl Gtl 11622.0 Inside 80.0 \n",
+ "3 526351010 Lvl Gtl 14267.0 Corner 81.0 \n",
+ "4 526353030 Lvl Gtl 11160.0 Corner 93.0 \n",
+ "5 527105010 Lvl Gtl 13830.0 Inside 74.0 \n",
+ "6 527105030 Lvl Gtl 9978.0 Inside 78.0 \n",
+ "7 527127150 Lvl Gtl 4920.0 Inside 41.0 \n",
+ "8 527145080 HLS Gtl 5005.0 Inside 43.0 \n",
+ "9 527146030 Lvl Gtl 5389.0 Inside 39.0 \n",
+ "10 527162130 Lvl Gtl 7500.0 Inside 60.0 \n",
+ "\n",
+ " Lot Shape Low Qual Fin SF MS SubClass MS Zoning \\\n",
+ "Order PID \n",
+ "1 526301100 IR1 0.0 020 RL \n",
+ "2 526350040 Reg 0.0 020 RH \n",
+ "3 526351010 IR1 0.0 020 RL \n",
+ "4 526353030 Reg 0.0 020 RL \n",
+ "5 527105010 IR1 0.0 060 RL \n",
+ "6 527105030 IR1 0.0 060 RL \n",
+ "7 527127150 Reg 0.0 120 RL \n",
+ "8 527145080 IR1 0.0 120 RL \n",
+ "9 527146030 IR1 0.0 120 RL \n",
+ "10 527162130 Reg 0.0 060 RL \n",
+ "\n",
+ " Mas Vnr Area Mas Vnr Type Misc Feature Misc Val Mo Sold \\\n",
+ "Order PID \n",
+ "1 526301100 112.0 Stone NA 0.0 5.0 \n",
+ "2 526350040 0.0 None NA 0.0 6.0 \n",
+ "3 526351010 108.0 BrkFace Gar2 12500.0 6.0 \n",
+ "4 526353030 0.0 None NA 0.0 4.0 \n",
+ "5 527105010 0.0 None NA 0.0 3.0 \n",
+ "6 527105030 20.0 BrkFace NA 0.0 6.0 \n",
+ "7 527127150 0.0 None NA 0.0 4.0 \n",
+ "8 527145080 0.0 None NA 0.0 1.0 \n",
+ "9 527146030 0.0 None NA 0.0 3.0 \n",
+ "10 527162130 0.0 None NA 0.0 6.0 \n",
+ "\n",
+ " Neighborhood Open Porch SF Overall Cond Overall Qual \\\n",
+ "Order PID \n",
+ "1 526301100 NAmes 62.0 5 6 \n",
+ "2 526350040 NAmes 0.0 6 5 \n",
+ "3 526351010 NAmes 36.0 6 6 \n",
+ "4 526353030 NAmes 0.0 5 7 \n",
+ "5 527105010 Gilbert 34.0 5 5 \n",
+ "6 527105030 Gilbert 36.0 6 6 \n",
+ "7 527127150 StoneBr 0.0 5 8 \n",
+ "8 527145080 StoneBr 82.0 5 8 \n",
+ "9 527146030 StoneBr 152.0 5 8 \n",
+ "10 527162130 Gilbert 60.0 5 7 \n",
+ "\n",
+ " Paved Drive Pool Area Pool QC Roof Matl Roof Style \\\n",
+ "Order PID \n",
+ "1 526301100 P 0.0 NA CompShg Hip \n",
+ "2 526350040 Y 0.0 NA CompShg Gable \n",
+ "3 526351010 Y 0.0 NA CompShg Hip \n",
+ "4 526353030 Y 0.0 NA CompShg Hip \n",
+ "5 527105010 Y 0.0 NA CompShg Gable \n",
+ "6 527105030 Y 0.0 NA CompShg Gable \n",
+ "7 527127150 Y 0.0 NA CompShg Gable \n",
+ "8 527145080 Y 0.0 NA CompShg Gable \n",
+ "9 527146030 Y 0.0 NA CompShg Gable \n",
+ "10 527162130 Y 0.0 NA CompShg Gable \n",
+ "\n",
+ " Sale Condition Sale Type Screen Porch Street TotRms AbvGrd \\\n",
+ "Order PID \n",
+ "1 526301100 Normal WD 0.0 Pave 7 \n",
+ "2 526350040 Normal WD 120.0 Pave 5 \n",
+ "3 526351010 Normal WD 0.0 Pave 6 \n",
+ "4 526353030 Normal WD 0.0 Pave 8 \n",
+ "5 527105010 Normal WD 0.0 Pave 6 \n",
+ "6 527105030 Normal WD 0.0 Pave 7 \n",
+ "7 527127150 Normal WD 0.0 Pave 6 \n",
+ "8 527145080 Normal WD 144.0 Pave 5 \n",
+ "9 527146030 Normal WD 0.0 Pave 5 \n",
+ "10 527162130 Normal WD 0.0 Pave 7 \n",
+ "\n",
+ " Total Bsmt SF Utilities Wood Deck SF Year Built \\\n",
+ "Order PID \n",
+ "1 526301100 1080.0 AllPub 210.0 1960.0 \n",
+ "2 526350040 882.0 AllPub 140.0 1961.0 \n",
+ "3 526351010 1329.0 AllPub 393.0 1958.0 \n",
+ "4 526353030 2110.0 AllPub 0.0 1968.0 \n",
+ "5 527105010 928.0 AllPub 212.0 1997.0 \n",
+ "6 527105030 926.0 AllPub 360.0 1998.0 \n",
+ "7 527127150 1338.0 AllPub 0.0 2001.0 \n",
+ "8 527145080 1280.0 AllPub 0.0 1992.0 \n",
+ "9 527146030 1595.0 AllPub 237.0 1995.0 \n",
+ "10 527162130 994.0 AllPub 140.0 1999.0 \n",
+ "\n",
+ " Year Remod/Add Yr Sold SalePrice \n",
+ "Order PID \n",
+ "1 526301100 1960.0 2010.0 215000 \n",
+ "2 526350040 1961.0 2010.0 105000 \n",
+ "3 526351010 1958.0 2010.0 172000 \n",
+ "4 526353030 1968.0 2010.0 244000 \n",
+ "5 527105010 1998.0 2010.0 189900 \n",
+ "6 527105030 1998.0 2010.0 195500 \n",
+ "7 527127150 2001.0 2010.0 213500 \n",
+ "8 527145080 1992.0 2010.0 191500 \n",
+ "9 527146030 1996.0 2010.0 236500 \n",
+ "10 527162130 1999.0 2010.0 189000 "
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df.head(10)"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
@@ -219,7 +1451,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@@ -239,7 +1471,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -262,7 +1494,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
@@ -300,7 +1532,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
@@ -309,7 +1541,7 @@
"(2930, 80)"
]
},
- "execution_count": 12,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -334,7 +1566,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
@@ -353,7 +1585,7 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
@@ -388,7 +1620,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
@@ -619,7 +1851,7 @@
"5 527105010 0.0 928.0 212.0 "
]
},
- "execution_count": 15,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -637,7 +1869,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
@@ -647,25 +1879,27 @@
"\n",
"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
"Data columns (total 19 columns):\n",
- "1st Flr SF 2930 non-null float64\n",
- "2nd Flr SF 2930 non-null float64\n",
- "3Ssn Porch 2930 non-null int64\n",
- "Bsmt Unf SF 2929 non-null float64\n",
- "BsmtFin SF 1 2929 non-null float64\n",
- "BsmtFin SF 2 2929 non-null float64\n",
- "Enclosed Porch 2930 non-null float64\n",
- "Garage Area 2929 non-null float64\n",
- "Gr Liv Area 2930 non-null float64\n",
- "Lot Area 2930 non-null float64\n",
- "Lot Frontage 2440 non-null float64\n",
- "Low Qual Fin SF 2930 non-null float64\n",
- "Mas Vnr Area 2907 non-null float64\n",
- "Misc Val 2930 non-null float64\n",
- "Open Porch SF 2930 non-null float64\n",
- "Pool Area 2930 non-null float64\n",
- "Screen Porch 2930 non-null float64\n",
- "Total Bsmt SF 2929 non-null float64\n",
- "Wood Deck SF 2930 non-null float64\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 1st Flr SF 2930 non-null float64\n",
+ " 1 2nd Flr SF 2930 non-null float64\n",
+ " 2 3Ssn Porch 2930 non-null int64 \n",
+ " 3 Bsmt Unf SF 2929 non-null float64\n",
+ " 4 BsmtFin SF 1 2929 non-null float64\n",
+ " 5 BsmtFin SF 2 2929 non-null float64\n",
+ " 6 Enclosed Porch 2930 non-null float64\n",
+ " 7 Garage Area 2929 non-null float64\n",
+ " 8 Gr Liv Area 2930 non-null float64\n",
+ " 9 Lot Area 2930 non-null float64\n",
+ " 10 Lot Frontage 2440 non-null float64\n",
+ " 11 Low Qual Fin SF 2930 non-null float64\n",
+ " 12 Mas Vnr Area 2907 non-null float64\n",
+ " 13 Misc Val 2930 non-null float64\n",
+ " 14 Open Porch SF 2930 non-null float64\n",
+ " 15 Pool Area 2930 non-null float64\n",
+ " 16 Screen Porch 2930 non-null float64\n",
+ " 17 Total Bsmt SF 2929 non-null float64\n",
+ " 18 Wood Deck SF 2930 non-null float64\n",
"dtypes: float64(18), int64(1)\n",
"memory usage: 572.3 KB\n"
]
@@ -677,7 +1911,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
@@ -702,7 +1936,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
@@ -723,7 +1957,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 17,
"metadata": {},
"outputs": [
{
@@ -760,7 +1994,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 18,
"metadata": {},
"outputs": [
{
@@ -948,7 +2182,7 @@
"5 527105010 1998 2010 "
]
},
- "execution_count": 20,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -966,7 +2200,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
@@ -976,20 +2210,22 @@
"\n",
"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
"Data columns (total 14 columns):\n",
- "Bedroom AbvGr 2930 non-null int64\n",
- "Bsmt Full Bath 2928 non-null float64\n",
- "Bsmt Half Bath 2928 non-null float64\n",
- "Fireplaces 2930 non-null int64\n",
- "Full Bath 2930 non-null int64\n",
- "Garage Cars 2929 non-null float64\n",
- "Garage Yr Blt 2771 non-null float64\n",
- "Half Bath 2930 non-null int64\n",
- "Kitchen AbvGr 2930 non-null int64\n",
- "Mo Sold 2930 non-null int64\n",
- "TotRms AbvGrd 2930 non-null int64\n",
- "Year Built 2930 non-null int64\n",
- "Year Remod/Add 2930 non-null int64\n",
- "Yr Sold 2930 non-null int64\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 Bedroom AbvGr 2930 non-null int64 \n",
+ " 1 Bsmt Full Bath 2928 non-null float64\n",
+ " 2 Bsmt Half Bath 2928 non-null float64\n",
+ " 3 Fireplaces 2930 non-null int64 \n",
+ " 4 Full Bath 2930 non-null int64 \n",
+ " 5 Garage Cars 2929 non-null float64\n",
+ " 6 Garage Yr Blt 2771 non-null float64\n",
+ " 7 Half Bath 2930 non-null int64 \n",
+ " 8 Kitchen AbvGr 2930 non-null int64 \n",
+ " 9 Mo Sold 2930 non-null int64 \n",
+ " 10 TotRms AbvGrd 2930 non-null int64 \n",
+ " 11 Year Built 2930 non-null int64 \n",
+ " 12 Year Remod/Add 2930 non-null int64 \n",
+ " 13 Yr Sold 2930 non-null int64 \n",
"dtypes: float64(4), int64(10)\n",
"memory usage: 457.8 KB\n"
]
@@ -1001,7 +2237,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
@@ -1024,7 +2260,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
@@ -1045,7 +2281,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 22,
"metadata": {},
"outputs": [
{
@@ -1084,7 +2320,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 23,
"metadata": {},
"outputs": [
{
@@ -1503,7 +2739,7 @@
"10 527162130 Normal WD Pave "
]
},
- "execution_count": 25,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -1521,7 +2757,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 24,
"metadata": {},
"outputs": [
{
@@ -1531,36 +2767,38 @@
"\n",
"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
"Data columns (total 23 columns):\n",
- "Alley 2930 non-null object\n",
- "Bldg Type 2930 non-null object\n",
- "Central Air 2930 non-null object\n",
- "Condition 1 2930 non-null object\n",
- "Condition 2 2930 non-null object\n",
- "Exterior 1st 2930 non-null object\n",
- "Exterior 2nd 2930 non-null object\n",
- "Foundation 2930 non-null object\n",
- "Garage Type 2930 non-null object\n",
- "Heating 2930 non-null object\n",
- "House Style 2930 non-null object\n",
- "Land Contour 2930 non-null object\n",
- "Lot Config 2930 non-null object\n",
- "MS SubClass 2930 non-null object\n",
- "MS Zoning 2930 non-null object\n",
- "Mas Vnr Type 2907 non-null object\n",
- "Misc Feature 2930 non-null object\n",
- "Neighborhood 2930 non-null object\n",
- "Roof Matl 2930 non-null object\n",
- "Roof Style 2930 non-null object\n",
- "Sale Condition 2930 non-null object\n",
- "Sale Type 2930 non-null object\n",
- "Street 2930 non-null object\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 Alley 2930 non-null object\n",
+ " 1 Bldg Type 2930 non-null object\n",
+ " 2 Central Air 2930 non-null object\n",
+ " 3 Condition 1 2930 non-null object\n",
+ " 4 Condition 2 2930 non-null object\n",
+ " 5 Exterior 1st 2930 non-null object\n",
+ " 6 Exterior 2nd 2930 non-null object\n",
+ " 7 Foundation 2930 non-null object\n",
+ " 8 Garage Type 2930 non-null object\n",
+ " 9 Heating 2930 non-null object\n",
+ " 10 House Style 2930 non-null object\n",
+ " 11 Land Contour 2930 non-null object\n",
+ " 12 Lot Config 2930 non-null object\n",
+ " 13 MS SubClass 2930 non-null object\n",
+ " 14 MS Zoning 2930 non-null object\n",
+ " 15 Mas Vnr Type 2907 non-null object\n",
+ " 16 Misc Feature 2930 non-null object\n",
+ " 17 Neighborhood 2930 non-null object\n",
+ " 18 Roof Matl 2930 non-null object\n",
+ " 19 Roof Style 2930 non-null object\n",
+ " 20 Sale Condition 2930 non-null object\n",
+ " 21 Sale Type 2930 non-null object\n",
+ " 22 Street 2930 non-null object\n",
"dtypes: object(23)\n",
"memory usage: 663.8+ KB\n"
]
}
],
"source": [
- "df[NOMINAL_VARIABLES].info(10)"
+ "df[NOMINAL_VARIABLES].info()"
]
},
{
@@ -1579,7 +2817,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
@@ -1598,7 +2836,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 26,
"metadata": {},
"outputs": [
{
@@ -1637,7 +2875,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 27,
"metadata": {},
"outputs": [
{
@@ -2056,7 +3294,7 @@
"10 527162130 7 Y NA AllPub "
]
},
- "execution_count": 29,
+ "execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
@@ -2074,7 +3312,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 28,
"metadata": {},
"outputs": [
{
@@ -2084,36 +3322,38 @@
"\n",
"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
"Data columns (total 23 columns):\n",
- "Bsmt Cond 2929 non-null object\n",
- "Bsmt Exposure 2926 non-null object\n",
- "Bsmt Qual 2929 non-null object\n",
- "BsmtFin Type 1 2929 non-null object\n",
- "BsmtFin Type 2 2928 non-null object\n",
- "Electrical 2929 non-null object\n",
- "Exter Cond 2930 non-null object\n",
- "Exter Qual 2930 non-null object\n",
- "Fence 2930 non-null object\n",
- "Fireplace Qu 2930 non-null object\n",
- "Functional 2930 non-null object\n",
- "Garage Cond 2929 non-null object\n",
- "Garage Finish 2928 non-null object\n",
- "Garage Qual 2929 non-null object\n",
- "Heating QC 2930 non-null object\n",
- "Kitchen Qual 2930 non-null object\n",
- "Land Slope 2930 non-null object\n",
- "Lot Shape 2930 non-null object\n",
- "Overall Cond 2930 non-null object\n",
- "Overall Qual 2930 non-null object\n",
- "Paved Drive 2930 non-null object\n",
- "Pool QC 2930 non-null object\n",
- "Utilities 2930 non-null object\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 Bsmt Cond 2929 non-null object\n",
+ " 1 Bsmt Exposure 2926 non-null object\n",
+ " 2 Bsmt Qual 2929 non-null object\n",
+ " 3 BsmtFin Type 1 2929 non-null object\n",
+ " 4 BsmtFin Type 2 2928 non-null object\n",
+ " 5 Electrical 2929 non-null object\n",
+ " 6 Exter Cond 2930 non-null object\n",
+ " 7 Exter Qual 2930 non-null object\n",
+ " 8 Fence 2930 non-null object\n",
+ " 9 Fireplace Qu 2930 non-null object\n",
+ " 10 Functional 2930 non-null object\n",
+ " 11 Garage Cond 2929 non-null object\n",
+ " 12 Garage Finish 2928 non-null object\n",
+ " 13 Garage Qual 2929 non-null object\n",
+ " 14 Heating QC 2930 non-null object\n",
+ " 15 Kitchen Qual 2930 non-null object\n",
+ " 16 Land Slope 2930 non-null object\n",
+ " 17 Lot Shape 2930 non-null object\n",
+ " 18 Overall Cond 2930 non-null object\n",
+ " 19 Overall Qual 2930 non-null object\n",
+ " 20 Paved Drive 2930 non-null object\n",
+ " 21 Pool QC 2930 non-null object\n",
+ " 22 Utilities 2930 non-null object\n",
"dtypes: object(23)\n",
"memory usage: 663.8+ KB\n"
]
}
],
"source": [
- "df[ORDINAL_VARIABLES].info(10)"
+ "df[ORDINAL_VARIABLES].info()"
]
},
{
@@ -2132,12 +3372,12 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
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