houseprices.ipynb

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      "authorship_tag": "ABX9TyP5Fetb65iQ3lLUUgcy+kTi",
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      "name": "python3",
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    "language_info": {
      "name": "python"
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/adriseeney/housepricepredict/blob/main/houseprices.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "9bTsfe0iXVRN"
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      "source": [
        "# Visualize\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#Calculate\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "\n",
        "#Settings\n",
        "pd.options.display.float_format = '{:.2f}'.format\n",
        "import warnings\n",
        "def ignore_warn(*args, **kwargs):\n",
        "    pass\n",
        "warnings.warn = ignore_warn #ignore annoying warning (from sklearn and seaborn)\n",
        "\n",
        "sns.set(style='darkgrid')\n",
        "\n",
        "from scipy import stats\n",
        "from scipy.stats import norm, skew\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data Exploration"
      ],
      "metadata": {
        "id": "l225Ue53aj6U"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Dictionary"
      ],
      "metadata": {
        "id": "JhnKp3b4UWPQ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "MSSubClass: Identifies the type of dwelling involved in the sale.\n",
        "\n",
        "        20\t1-STORY 1946 & NEWER ALL STYLES\n",
        "        30\t1-STORY 1945 & OLDER\n",
        "        40\t1-STORY W/FINISHED ATTIC ALL AGES\n",
        "        45\t1-1/2 STORY - UNFINISHED ALL AGES\n",
        "        50\t1-1/2 STORY FINISHED ALL AGES\n",
        "        60\t2-STORY 1946 & NEWER\n",
        "        70\t2-STORY 1945 & OLDER\n",
        "        75\t2-1/2 STORY ALL AGES\n",
        "        80\tSPLIT OR MULTI-LEVEL\n",
        "        85\tSPLIT FOYER\n",
        "        90\tDUPLEX - ALL STYLES AND AGES\n",
        "       120\t1-STORY PUD (Planned Unit Development) - 1946 & NEWER\n",
        "       150\t1-1/2 STORY PUD - ALL AGES\n",
        "       160\t2-STORY PUD - 1946 & NEWER\n",
        "       180\tPUD - MULTILEVEL - INCL SPLIT LEV/FOYER\n",
        "       190\t2 FAMILY CONVERSION - ALL STYLES AND AGES\n",
        "\n",
        "MSZoning: Identifies the general zoning classification of the sale.\n",
        "\n",
        "       A\tAgriculture\n",
        "       C\tCommercial\n",
        "       FV\tFloating Village Residential\n",
        "       I\tIndustrial\n",
        "       RH\tResidential High Density\n",
        "       RL\tResidential Low Density\n",
        "       RP\tResidential Low Density Park\n",
        "       RM\tResidential Medium Density\n",
        "\n",
        "LotFrontage: Linear feet of street connected to property\n",
        "\n",
        "LotArea: Lot size in square feet\n",
        "\n",
        "Street: Type of road access to property\n",
        "\n",
        "       Grvl\tGravel\n",
        "       Pave\tPaved\n",
        "\n",
        "Alley: Type of alley access to property\n",
        "\n",
        "       Grvl\tGravel\n",
        "       Pave\tPaved\n",
        "       NA \tNo alley access\n",
        "\n",
        "LotShape: General shape of property\n",
        "\n",
        "       Reg\tRegular\n",
        "       IR1\tSlightly irregular\n",
        "       IR2\tModerately Irregular\n",
        "       IR3\tIrregular\n",
        "       \n",
        "LandContour: Flatness of the property\n",
        "\n",
        "       Lvl\tNear Flat/Level\n",
        "       Bnk\tBanked - Quick and significant rise from street grade to building\n",
        "       HLS\tHillside - Significant slope from side to side\n",
        "       Low\tDepression\n",
        "\n",
        "Utilities: Type of utilities available\n",
        "\n",
        "       AllPub\tAll public Utilities (E,G,W,& S)\n",
        "       NoSewr\tElectricity, Gas, and Water (Septic Tank)\n",
        "       NoSeWa\tElectricity and Gas Only\n",
        "       ELO\tElectricity only\n",
        "\n",
        "LotConfig: Lot configuration\n",
        "\n",
        "       Inside\tInside lot\n",
        "       Corner\tCorner lot\n",
        "       CulDSac\tCul-de-sac\n",
        "       FR2\tFrontage on 2 sides of property\n",
        "       FR3\tFrontage on 3 sides of property\n",
        "\n",
        "LandSlope: Slope of property\n",
        "\n",
        "       Gtl\tGentle slope\n",
        "       Mod\tModerate Slope\n",
        "       Sev\tSevere Slope\n",
        "\n",
        "Neighborhood: Physical locations within Ames city limits\n",
        "\n",
        "       Blmngtn\tBloomington Heights\n",
        "       Blueste\tBluestem\n",
        "       BrDale\tBriardale\n",
        "       BrkSide\tBrookside\n",
        "       ClearCr\tClear Creek\n",
        "       CollgCr\tCollege Creek\n",
        "       Crawfor\tCrawford\n",
        "       Edwards\tEdwards\n",
        "       Gilbert\tGilbert\n",
        "       IDOTRR\tIowa DOT and Rail Road\n",
        "       MeadowV\tMeadow Village\n",
        "       Mitchel\tMitchell\n",
        "       Names\tNorth Ames\n",
        "       NoRidge\tNorthridge\n",
        "       NPkVill\tNorthpark Villa\n",
        "       NridgHt\tNorthridge Heights\n",
        "       NWAmes\tNorthwest Ames\n",
        "       OldTown\tOld Town\n",
        "       SWISU\tSouth & West of Iowa State University\n",
        "       Sawyer\tSawyer\n",
        "       SawyerW\tSawyer West\n",
        "       Somerst\tSomerset\n",
        "       StoneBr\tStone Brook\n",
        "       Timber\tTimberland\n",
        "       Veenker\tVeenker\n",
        "\n",
        "Condition1: Proximity to various conditions\n",
        "\n",
        "       Artery\tAdjacent to arterial street\n",
        "       Feedr\tAdjacent to feeder street\n",
        "       Norm\tNormal\n",
        "       RRNn\tWithin 200' of North-South Railroad\n",
        "       RRAn\tAdjacent to North-South Railroad\n",
        "       PosN\tNear positive off-site feature--park, greenbelt, etc.\n",
        "       PosA\tAdjacent to postive off-site feature\n",
        "       RRNe\tWithin 200' of East-West Railroad\n",
        "       RRAe\tAdjacent to East-West Railroad\n",
        "\n",
        "Condition2: Proximity to various conditions (if more than one is present)\n",
        "\n",
        "       Artery\tAdjacent to arterial street\n",
        "       Feedr\tAdjacent to feeder street\n",
        "       Norm\tNormal\n",
        "       RRNn\tWithin 200' of North-South Railroad\n",
        "       RRAn\tAdjacent to North-South Railroad\n",
        "       PosN\tNear positive off-site feature--park, greenbelt, etc.\n",
        "       PosA\tAdjacent to postive off-site feature\n",
        "       RRNe\tWithin 200' of East-West Railroad\n",
        "       RRAe\tAdjacent to East-West Railroad\n",
        "\n",
        "BldgType: Type of dwelling\n",
        "\n",
        "       1Fam\tSingle-family Detached\n",
        "       2FmCon\tTwo-family Conversion; originally built as one-family dwelling\n",
        "       Duplx\tDuplex\n",
        "       TwnhsE\tTownhouse End Unit\n",
        "       TwnhsI\tTownhouse Inside Unit\n",
        "\n",
        "HouseStyle: Style of dwelling\n",
        "\n",
        "       1Story\tOne story\n",
        "       1.5Fin\tOne and one-half story: 2nd level finished\n",
        "       1.5Unf\tOne and one-half story: 2nd level unfinished\n",
        "       2Story\tTwo story\n",
        "       2.5Fin\tTwo and one-half story: 2nd level finished\n",
        "       2.5Unf\tTwo and one-half story: 2nd level unfinished\n",
        "       SFoyer\tSplit Foyer\n",
        "       SLvl\tSplit Level\n",
        "\n",
        "OverallQual: Rates the overall material and finish of the house\n",
        "\n",
        "       10\tVery Excellent\n",
        "       9\tExcellent\n",
        "       8\tVery Good\n",
        "       7\tGood\n",
        "       6\tAbove Average\n",
        "       5\tAverage\n",
        "       4\tBelow Average\n",
        "       3\tFair\n",
        "       2\tPoor\n",
        "       1\tVery Poor\n",
        "\n",
        "OverallCond: Rates the overall condition of the house\n",
        "\n",
        "       10\tVery Excellent\n",
        "       9\tExcellent\n",
        "       8\tVery Good\n",
        "       7\tGood\n",
        "       6\tAbove Average\n",
        "       5\tAverage\n",
        "       4\tBelow Average\n",
        "       3\tFair\n",
        "       2\tPoor\n",
        "       1\tVery Poor\n",
        "\n",
        "YearBuilt: Original construction date\n",
        "\n",
        "YearRemodAdd: Remodel date (same as construction date if no remodeling or additions)\n",
        "\n",
        "RoofStyle: Type of roof\n",
        "\n",
        "       Flat\tFlat\n",
        "       Gable\tGable\n",
        "       Gambrel\tGabrel (Barn)\n",
        "       Hip\tHip\n",
        "       Mansard\tMansard\n",
        "       Shed\tShed\n",
        "\n",
        "RoofMatl: Roof material\n",
        "\n",
        "       ClyTile\tClay or Tile\n",
        "       CompShg\tStandard (Composite) Shingle\n",
        "       Membran\tMembrane\n",
        "       Metal\tMetal\n",
        "       Roll\tRoll\n",
        "       Tar&Grv\tGravel & Tar\n",
        "       WdShake\tWood Shakes\n",
        "       WdShngl\tWood Shingles\n",
        "\n",
        "Exterior1st: Exterior covering on house\n",
        "\n",
        "       AsbShng\tAsbestos Shingles\n",
        "       AsphShn\tAsphalt Shingles\n",
        "       BrkComm\tBrick Common\n",
        "       BrkFace\tBrick Face\n",
        "       CBlock\tCinder Block\n",
        "       CemntBd\tCement Board\n",
        "       HdBoard\tHard Board\n",
        "       ImStucc\tImitation Stucco\n",
        "       MetalSd\tMetal Siding\n",
        "       Other\tOther\n",
        "       Plywood\tPlywood\n",
        "       PreCast\tPreCast\n",
        "       Stone\tStone\n",
        "       Stucco\tStucco\n",
        "       VinylSd\tVinyl Siding\n",
        "       Wd Sdng\tWood Siding\n",
        "       WdShing\tWood Shingles\n",
        "\n",
        "Exterior2nd: Exterior covering on house (if more than one material)\n",
        "\n",
        "       AsbShng\tAsbestos Shingles\n",
        "       AsphShn\tAsphalt Shingles\n",
        "       BrkComm\tBrick Common\n",
        "       BrkFace\tBrick Face\n",
        "       CBlock\tCinder Block\n",
        "       CemntBd\tCement Board\n",
        "       HdBoard\tHard Board\n",
        "       ImStucc\tImitation Stucco\n",
        "       MetalSd\tMetal Siding\n",
        "       Other\tOther\n",
        "       Plywood\tPlywood\n",
        "       PreCast\tPreCast\n",
        "       Stone\tStone\n",
        "       Stucco\tStucco\n",
        "       VinylSd\tVinyl Siding\n",
        "       Wd Sdng\tWood Siding\n",
        "       WdShing\tWood Shingles\n",
        "\n",
        "MasVnrType: Masonry veneer type\n",
        "\n",
        "       BrkCmn\tBrick Common\n",
        "       BrkFace\tBrick Face\n",
        "       CBlock\tCinder Block\n",
        "       None\tNone\n",
        "       Stone\tStone\n",
        "\n",
        "MasVnrArea: Masonry veneer area in square feet\n",
        "\n",
        "ExterQual: Evaluates the quality of the material on the exterior\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tAverage/Typical\n",
        "       Fa\tFair\n",
        "       Po\tPoor\n",
        "\n",
        "ExterCond: Evaluates the present condition of the material on the exterior\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tAverage/Typical\n",
        "       Fa\tFair\n",
        "       Po\tPoor\n",
        "\n",
        "Foundation: Type of foundation\n",
        "\n",
        "       BrkTil\tBrick & Tile\n",
        "       CBlock\tCinder Block\n",
        "       PConc\tPoured Contrete\n",
        "       Slab\tSlab\n",
        "       Stone\tStone\n",
        "       Wood\tWood\n",
        "\n",
        "BsmtQual: Evaluates the height of the basement\n",
        "\n",
        "       Ex\tExcellent (100+ inches)\n",
        "       Gd\tGood (90-99 inches)\n",
        "       TA\tTypical (80-89 inches)\n",
        "       Fa\tFair (70-79 inches)\n",
        "       Po\tPoor (<70 inches\n",
        "       NA\tNo Basement\n",
        "\n",
        "BsmtCond: Evaluates the general condition of the basement\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tTypical - slight dampness allowed\n",
        "       Fa\tFair - dampness or some cracking or settling\n",
        "       Po\tPoor - Severe cracking, settling, or wetness\n",
        "       NA\tNo Basement\n",
        "\n",
        "BsmtExposure: Refers to walkout or garden level walls\n",
        "\n",
        "       Gd\tGood Exposure\n",
        "       Av\tAverage Exposure (split levels or foyers typically score average or above)\n",
        "       Mn\tMimimum Exposure\n",
        "       No\tNo Exposure\n",
        "       NA\tNo Basement\n",
        "\n",
        "BsmtFinType1: Rating of basement finished area\n",
        "\n",
        "       GLQ\tGood Living Quarters\n",
        "       ALQ\tAverage Living Quarters\n",
        "       BLQ\tBelow Average Living Quarters\n",
        "       Rec\tAverage Rec Room\n",
        "       LwQ\tLow Quality\n",
        "       Unf\tUnfinshed\n",
        "       NA\tNo Basement\n",
        "\n",
        "BsmtFinSF1: Type 1 finished square feet\n",
        "\n",
        "BsmtFinType2: Rating of basement finished area (if multiple types)\n",
        "\n",
        "       GLQ\tGood Living Quarters\n",
        "       ALQ\tAverage Living Quarters\n",
        "       BLQ\tBelow Average Living Quarters\n",
        "       Rec\tAverage Rec Room\n",
        "       LwQ\tLow Quality\n",
        "       Unf\tUnfinshed\n",
        "       NA\tNo Basement\n",
        "\n",
        "BsmtFinSF2: Type 2 finished square feet\n",
        "\n",
        "BsmtUnfSF: Unfinished square feet of basement area\n",
        "\n",
        "TotalBsmtSF: Total square feet of basement area\n",
        "\n",
        "Heating: Type of heating\n",
        "\n",
        "       Floor\tFloor Furnace\n",
        "       GasA\tGas forced warm air furnace\n",
        "       GasW\tGas hot water or steam heat\n",
        "       Grav\tGravity furnace\n",
        "       OthW\tHot water or steam heat other than gas\n",
        "       Wall\tWall furnace\n",
        "\n",
        "HeatingQC: Heating quality and condition\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tAverage/Typical\n",
        "       Fa\tFair\n",
        "       Po\tPoor\n",
        "\n",
        "CentralAir: Central air conditioning\n",
        "\n",
        "       N\tNo\n",
        "       Y\tYes\n",
        "\n",
        "Electrical: Electrical system\n",
        "\n",
        "       SBrkr\tStandard Circuit Breakers & Romex\n",
        "       FuseA\tFuse Box over 60 AMP and all Romex wiring (Average)\n",
        "       FuseF\t60 AMP Fuse Box and mostly Romex wiring (Fair)\n",
        "       FuseP\t60 AMP Fuse Box and mostly knob & tube wiring (poor)\n",
        "       Mix\tMixed\n",
        "\n",
        "1stFlrSF: First Floor square feet\n",
        "\n",
        "2ndFlrSF: Second floor square feet\n",
        "\n",
        "LowQualFinSF: Low quality finished square feet (all floors)\n",
        "\n",
        "GrLivArea: Above grade (ground) living area square feet\n",
        "\n",
        "BsmtFullBath: Basement full bathrooms\n",
        "\n",
        "BsmtHalfBath: Basement half bathrooms\n",
        "\n",
        "FullBath: Full bathrooms above grade\n",
        "\n",
        "HalfBath: Half baths above grade\n",
        "\n",
        "Bedroom: Bedrooms above grade (does NOT include basement bedrooms)\n",
        "\n",
        "Kitchen: Kitchens above grade\n",
        "\n",
        "KitchenQual: Kitchen quality\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tTypical/Average\n",
        "       Fa\tFair\n",
        "       Po\tPoor\n",
        "\n",
        "TotRmsAbvGrd: Total rooms above grade (does not include bathrooms)\n",
        "\n",
        "Functional: Home functionality (Assume typical unless deductions are warranted)\n",
        "\n",
        "       Typ\tTypical Functionality\n",
        "       Min1\tMinor Deductions 1\n",
        "       Min2\tMinor Deductions 2\n",
        "       Mod\tModerate Deductions\n",
        "       Maj1\tMajor Deductions 1\n",
        "       Maj2\tMajor Deductions 2\n",
        "       Sev\tSeverely Damaged\n",
        "       Sal\tSalvage only\n",
        "\n",
        "Fireplaces: Number of fireplaces\n",
        "\n",
        "FireplaceQu: Fireplace quality\n",
        "\n",
        "       Ex\tExcellent - Exceptional Masonry Fireplace\n",
        "       Gd\tGood - Masonry Fireplace in main level\n",
        "       TA\tAverage - Prefabricated Fireplace in main living area or Masonry Fireplace in basement\n",
        "       Fa\tFair - Prefabricated Fireplace in basement\n",
        "       Po\tPoor - Ben Franklin Stove\n",
        "       NA\tNo Fireplace\n",
        "\n",
        "GarageType: Garage location\n",
        "\n",
        "       2Types\tMore than one type of garage\n",
        "       Attchd\tAttached to home\n",
        "       Basment\tBasement Garage\n",
        "       BuiltIn\tBuilt-In (Garage part of house - typically has room above garage)\n",
        "       CarPort\tCar Port\n",
        "       Detchd\tDetached from home\n",
        "       NA\tNo Garage\n",
        "\n",
        "GarageYrBlt: Year garage was built\n",
        "\n",
        "GarageFinish: Interior finish of the garage\n",
        "\n",
        "       Fin\tFinished\n",
        "       RFn\tRough Finished\n",
        "       Unf\tUnfinished\n",
        "       NA\tNo Garage\n",
        "\n",
        "GarageCars: Size of garage in car capacity\n",
        "\n",
        "GarageArea: Size of garage in square feet\n",
        "\n",
        "GarageQual: Garage quality\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tTypical/Average\n",
        "       Fa\tFair\n",
        "       Po\tPoor\n",
        "       NA\tNo Garage\n",
        "\n",
        "GarageCond: Garage condition\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tTypical/Average\n",
        "       Fa\tFair\n",
        "       Po\tPoor\n",
        "       NA\tNo Garage\n",
        "\n",
        "PavedDrive: Paved driveway\n",
        "\n",
        "       Y\tPaved\n",
        "       P\tPartial Pavement\n",
        "       N\tDirt/Gravel\n",
        "\n",
        "WoodDeckSF: Wood deck area in square feet\n",
        "\n",
        "OpenPorchSF: Open porch area in square feet\n",
        "\n",
        "EnclosedPorch: Enclosed porch area in square feet\n",
        "\n",
        "3SsnPorch: Three season porch area in square feet\n",
        "\n",
        "ScreenPorch: Screen porch area in square feet\n",
        "\n",
        "PoolArea: Pool area in square feet\n",
        "\n",
        "PoolQC: Pool quality\n",
        "\n",
        "       Ex\tExcellent\n",
        "       Gd\tGood\n",
        "       TA\tAverage/Typical\n",
        "       Fa\tFair\n",
        "       NA\tNo Pool\n",
        "\n",
        "Fence: Fence quality\n",
        "\n",
        "       GdPrv\tGood Privacy\n",
        "       MnPrv\tMinimum Privacy\n",
        "       GdWo\tGood Wood\n",
        "       MnWw\tMinimum Wood/Wire\n",
        "       NA\tNo Fence\n",
        "\n",
        "MiscFeature: Miscellaneous feature not covered in other categories\n",
        "\n",
        "       Elev\tElevator\n",
        "       Gar2\t2nd Garage (if not described in garage section)\n",
        "       Othr\tOther\n",
        "       Shed\tShed (over 100 SF)\n",
        "       TenC\tTennis Court\n",
        "       NA\tNone\n",
        "\n",
        "MiscVal: $Value of miscellaneous feature\n",
        "\n",
        "MoSold: Month Sold (MM)\n",
        "\n",
        "YrSold: Year Sold (YYYY)\n",
        "\n",
        "SaleType: Type of sale\n",
        "\n",
        "       WD \tWarranty Deed - Conventional\n",
        "       CWD\tWarranty Deed - Cash\n",
        "       VWD\tWarranty Deed - VA Loan\n",
        "       New\tHome just constructed and sold\n",
        "       COD\tCourt Officer Deed/Estate\n",
        "       Con\tContract 15% Down payment regular terms\n",
        "       ConLw\tContract Low Down payment and low interest\n",
        "       ConLI\tContract Low Interest\n",
        "       ConLD\tContract Low Down\n",
        "       Oth\tOther\n",
        "\n",
        "SaleCondition: Condition of sale\n",
        "\n",
        "       Normal\tNormal Sale\n",
        "       Abnorml\tAbnormal Sale -  trade, foreclosure, short sale\n",
        "       AdjLand\tAdjoining Land Purchase\n",
        "       Alloca\tAllocation - two linked properties with separate deeds, typically condo with a garage unit\n",
        "       Family\tSale between family members\n",
        "       Partial\tHome was not completed when last assessed (associated with New Homes)\n",
        "\n"
      ],
      "metadata": {
        "id": "hhivXk1OWZvN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Getting to know the data"
      ],
      "metadata": {
        "id": "KRaXpWwFar_2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_train = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/house-prices-advanced-regression-techniques/train.csv')\n",
        "df_train.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "id": "Z-kEtNDsYG1M",
        "outputId": "3b10b245-6ddc-4cfb-c159-4ea670d2e549"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
              "0   1          60       RL        65.00     8450   Pave   NaN      Reg   \n",
              "1   2          20       RL        80.00     9600   Pave   NaN      Reg   \n",
              "2   3          60       RL        68.00    11250   Pave   NaN      IR1   \n",
              "3   4          70       RL        60.00     9550   Pave   NaN      IR1   \n",
              "4   5          60       RL        84.00    14260   Pave   NaN      IR1   \n",
              "\n",
              "  LandContour Utilities  ... PoolArea PoolQC Fence MiscFeature MiscVal MoSold  \\\n",
              "0         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
              "1         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      5   \n",
              "2         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      9   \n",
              "3         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
              "4         Lvl    AllPub  ...        0    NaN   NaN         NaN       0     12   \n",
              "\n",
              "  YrSold  SaleType  SaleCondition  SalePrice  \n",
              "0   2008        WD         Normal     208500  \n",
              "1   2007        WD         Normal     181500  \n",
              "2   2008        WD         Normal     223500  \n",
              "3   2006        WD        Abnorml     140000  \n",
              "4   2008        WD         Normal     250000  \n",
              "\n",
              "[5 rows x 81 columns]"
            ],
            "text/html": [
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              "  <div id=\"df-e96bc297-696a-4dcb-a80a-486515a4c145\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Id</th>\n",
              "      <th>MSSubClass</th>\n",
              "      <th>MSZoning</th>\n",
              "      <th>LotFrontage</th>\n",
              "      <th>LotArea</th>\n",
              "      <th>Street</th>\n",
              "      <th>Alley</th>\n",
              "      <th>LotShape</th>\n",
              "      <th>LandContour</th>\n",
              "      <th>Utilities</th>\n",
              "      <th>...</th>\n",
              "      <th>PoolArea</th>\n",
              "      <th>PoolQC</th>\n",
              "      <th>Fence</th>\n",
              "      <th>MiscFeature</th>\n",
              "      <th>MiscVal</th>\n",
              "      <th>MoSold</th>\n",
              "      <th>YrSold</th>\n",
              "      <th>SaleType</th>\n",
              "      <th>SaleCondition</th>\n",
              "      <th>SalePrice</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>RL</td>\n",
              "      <td>65.00</td>\n",
              "      <td>8450</td>\n",
              "      <td>Pave</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Reg</td>\n",
              "      <td>Lvl</td>\n",
              "      <td>AllPub</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2008</td>\n",
              "      <td>WD</td>\n",
              "      <td>Normal</td>\n",
              "      <td>208500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>RL</td>\n",
              "      <td>80.00</td>\n",
              "      <td>9600</td>\n",
              "      <td>Pave</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Reg</td>\n",
              "      <td>Lvl</td>\n",
              "      <td>AllPub</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>2007</td>\n",
              "      <td>WD</td>\n",
              "      <td>Normal</td>\n",
              "      <td>181500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>60</td>\n",
              "      <td>RL</td>\n",
              "      <td>68.00</td>\n",
              "      <td>11250</td>\n",
              "      <td>Pave</td>\n",
              "      <td>NaN</td>\n",
              "      <td>IR1</td>\n",
              "      <td>Lvl</td>\n",
              "      <td>AllPub</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>2008</td>\n",
              "      <td>WD</td>\n",
              "      <td>Normal</td>\n",
              "      <td>223500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>70</td>\n",
              "      <td>RL</td>\n",
              "      <td>60.00</td>\n",
              "      <td>9550</td>\n",
              "      <td>Pave</td>\n",
              "      <td>NaN</td>\n",
              "      <td>IR1</td>\n",
              "      <td>Lvl</td>\n",
              "      <td>AllPub</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2006</td>\n",
              "      <td>WD</td>\n",
              "      <td>Abnorml</td>\n",
              "      <td>140000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>60</td>\n",
              "      <td>RL</td>\n",
              "      <td>84.00</td>\n",
              "      <td>14260</td>\n",
              "      <td>Pave</td>\n",
              "      <td>NaN</td>\n",
              "      <td>IR1</td>\n",
              "      <td>Lvl</td>\n",
              "      <td>AllPub</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "      <td>2008</td>\n",
              "      <td>WD</td>\n",
              "      <td>Normal</td>\n",
              "      <td>250000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 81 columns</p>\n",
              "</div>\n",
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              "  @keyframes spin {\n",
              "    0% {\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Check info of the dataset"
      ],
      "metadata": {
        "id": "re4Pk6W5TZgI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_train.info()"
      ],
      "metadata": {
        "id": "j8oDFIcsTdNf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Observations:\n",
        "* There are a total of 81 columns and 1460 observations in the dataset\n",
        "* We can see there are columns with missing values\n"
      ],
      "metadata": {
        "id": "FIubs2meTo4s"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Missing Values"
      ],
      "metadata": {
        "id": "j8HmPcWu8nM2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Because of the size of the dataset, I want to define a function to make it easier to count and visualize the null values."
      ],
      "metadata": {
        "id": "Gkd2Sq_h_Zqr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "##### FUNCTIONS\n",
        "def missing_data(df_train):\n",
        "   val = df_train.isnull().sum().values\n",
        "   ind = df_train.isnull().sum().index\n",
        "   # make the missing data into a dataframe for easier analysis\n",
        "   missing_data_df_train = pd.DataFrame()\n",
        "   # create columns for descriptive summary\n",
        "   missing_data_df_train['Column'] = ind\n",
        "   missing_data_df_train['Total'] = val\n",
        "   missing_data_df_train['Percent'] = missing_data_df_train['Total'] / df_train.shape[0] * 100\n",
        "   missing_data_df_train = missing_data_df_train.sort_values(by='Total', ascending=0)\n",
        "   # make it pretty\n",
        "   return missing_data_df_train[missing_data_df_train['Total'] > 0].style.background_gradient(cmap='plasma')"
      ],
      "metadata": {
        "id": "SiRhngZlYDE2"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Call the function\n",
        "missing_data(df_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "id": "WfHpa7Rt_ila",
        "outputId": "5042db92-8552-445d-9135-09221b7784be"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  color: #f1f1f1;\n",
              "}\n",
              "#T_542bf_row6_col1, #T_542bf_row6_col2, #T_542bf_row7_col1, #T_542bf_row7_col2, #T_542bf_row8_col1, #T_542bf_row8_col2, #T_542bf_row9_col1, #T_542bf_row9_col2, #T_542bf_row10_col1, #T_542bf_row10_col2 {\n",
              "  background-color: #2e0595;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_542bf_row11_col1, #T_542bf_row11_col2, #T_542bf_row12_col1, #T_542bf_row12_col2, #T_542bf_row13_col1, #T_542bf_row13_col2, #T_542bf_row14_col1, #T_542bf_row14_col2, #T_542bf_row15_col1, #T_542bf_row15_col2 {\n",
              "  background-color: #1d068e;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_542bf_row16_col1, #T_542bf_row16_col2, #T_542bf_row17_col1, #T_542bf_row17_col2 {\n",
              "  background-color: #100788;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_542bf_row18_col1, #T_542bf_row18_col2 {\n",
              "  background-color: #0d0887;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_542bf\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_542bf_level0_col0\" class=\"col_heading level0 col0\" >Column</th>\n",
              "      <th id=\"T_542bf_level0_col1\" class=\"col_heading level0 col1\" >Total</th>\n",
              "      <th id=\"T_542bf_level0_col2\" class=\"col_heading level0 col2\" >Percent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row0\" class=\"row_heading level0 row0\" >72</th>\n",
              "      <td id=\"T_542bf_row0_col0\" class=\"data row0 col0\" >PoolQC</td>\n",
              "      <td id=\"T_542bf_row0_col1\" class=\"data row0 col1\" >1453</td>\n",
              "      <td id=\"T_542bf_row0_col2\" class=\"data row0 col2\" >99.520548</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row1\" class=\"row_heading level0 row1\" >74</th>\n",
              "      <td id=\"T_542bf_row1_col0\" class=\"data row1 col0\" >MiscFeature</td>\n",
              "      <td id=\"T_542bf_row1_col1\" class=\"data row1 col1\" >1406</td>\n",
              "      <td id=\"T_542bf_row1_col2\" class=\"data row1 col2\" >96.301370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row2\" class=\"row_heading level0 row2\" >6</th>\n",
              "      <td id=\"T_542bf_row2_col0\" class=\"data row2 col0\" >Alley</td>\n",
              "      <td id=\"T_542bf_row2_col1\" class=\"data row2 col1\" >1369</td>\n",
              "      <td id=\"T_542bf_row2_col2\" class=\"data row2 col2\" >93.767123</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row3\" class=\"row_heading level0 row3\" >73</th>\n",
              "      <td id=\"T_542bf_row3_col0\" class=\"data row3 col0\" >Fence</td>\n",
              "      <td id=\"T_542bf_row3_col1\" class=\"data row3 col1\" >1179</td>\n",
              "      <td id=\"T_542bf_row3_col2\" class=\"data row3 col2\" >80.753425</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row4\" class=\"row_heading level0 row4\" >57</th>\n",
              "      <td id=\"T_542bf_row4_col0\" class=\"data row4 col0\" >FireplaceQu</td>\n",
              "      <td id=\"T_542bf_row4_col1\" class=\"data row4 col1\" >690</td>\n",
              "      <td id=\"T_542bf_row4_col2\" class=\"data row4 col2\" >47.260274</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row5\" class=\"row_heading level0 row5\" >3</th>\n",
              "      <td id=\"T_542bf_row5_col0\" class=\"data row5 col0\" >LotFrontage</td>\n",
              "      <td id=\"T_542bf_row5_col1\" class=\"data row5 col1\" >259</td>\n",
              "      <td id=\"T_542bf_row5_col2\" class=\"data row5 col2\" >17.739726</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row6\" class=\"row_heading level0 row6\" >59</th>\n",
              "      <td id=\"T_542bf_row6_col0\" class=\"data row6 col0\" >GarageYrBlt</td>\n",
              "      <td id=\"T_542bf_row6_col1\" class=\"data row6 col1\" >81</td>\n",
              "      <td id=\"T_542bf_row6_col2\" class=\"data row6 col2\" >5.547945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row7\" class=\"row_heading level0 row7\" >64</th>\n",
              "      <td id=\"T_542bf_row7_col0\" class=\"data row7 col0\" >GarageCond</td>\n",
              "      <td id=\"T_542bf_row7_col1\" class=\"data row7 col1\" >81</td>\n",
              "      <td id=\"T_542bf_row7_col2\" class=\"data row7 col2\" >5.547945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row8\" class=\"row_heading level0 row8\" >58</th>\n",
              "      <td id=\"T_542bf_row8_col0\" class=\"data row8 col0\" >GarageType</td>\n",
              "      <td id=\"T_542bf_row8_col1\" class=\"data row8 col1\" >81</td>\n",
              "      <td id=\"T_542bf_row8_col2\" class=\"data row8 col2\" >5.547945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row9\" class=\"row_heading level0 row9\" >60</th>\n",
              "      <td id=\"T_542bf_row9_col0\" class=\"data row9 col0\" >GarageFinish</td>\n",
              "      <td id=\"T_542bf_row9_col1\" class=\"data row9 col1\" >81</td>\n",
              "      <td id=\"T_542bf_row9_col2\" class=\"data row9 col2\" >5.547945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row10\" class=\"row_heading level0 row10\" >63</th>\n",
              "      <td id=\"T_542bf_row10_col0\" class=\"data row10 col0\" >GarageQual</td>\n",
              "      <td id=\"T_542bf_row10_col1\" class=\"data row10 col1\" >81</td>\n",
              "      <td id=\"T_542bf_row10_col2\" class=\"data row10 col2\" >5.547945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row11\" class=\"row_heading level0 row11\" >35</th>\n",
              "      <td id=\"T_542bf_row11_col0\" class=\"data row11 col0\" >BsmtFinType2</td>\n",
              "      <td id=\"T_542bf_row11_col1\" class=\"data row11 col1\" >38</td>\n",
              "      <td id=\"T_542bf_row11_col2\" class=\"data row11 col2\" >2.602740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row12\" class=\"row_heading level0 row12\" >32</th>\n",
              "      <td id=\"T_542bf_row12_col0\" class=\"data row12 col0\" >BsmtExposure</td>\n",
              "      <td id=\"T_542bf_row12_col1\" class=\"data row12 col1\" >38</td>\n",
              "      <td id=\"T_542bf_row12_col2\" class=\"data row12 col2\" >2.602740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row13\" class=\"row_heading level0 row13\" >30</th>\n",
              "      <td id=\"T_542bf_row13_col0\" class=\"data row13 col0\" >BsmtQual</td>\n",
              "      <td id=\"T_542bf_row13_col1\" class=\"data row13 col1\" >37</td>\n",
              "      <td id=\"T_542bf_row13_col2\" class=\"data row13 col2\" >2.534247</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row14\" class=\"row_heading level0 row14\" >31</th>\n",
              "      <td id=\"T_542bf_row14_col0\" class=\"data row14 col0\" >BsmtCond</td>\n",
              "      <td id=\"T_542bf_row14_col1\" class=\"data row14 col1\" >37</td>\n",
              "      <td id=\"T_542bf_row14_col2\" class=\"data row14 col2\" >2.534247</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row15\" class=\"row_heading level0 row15\" >33</th>\n",
              "      <td id=\"T_542bf_row15_col0\" class=\"data row15 col0\" >BsmtFinType1</td>\n",
              "      <td id=\"T_542bf_row15_col1\" class=\"data row15 col1\" >37</td>\n",
              "      <td id=\"T_542bf_row15_col2\" class=\"data row15 col2\" >2.534247</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row16\" class=\"row_heading level0 row16\" >26</th>\n",
              "      <td id=\"T_542bf_row16_col0\" class=\"data row16 col0\" >MasVnrArea</td>\n",
              "      <td id=\"T_542bf_row16_col1\" class=\"data row16 col1\" >8</td>\n",
              "      <td id=\"T_542bf_row16_col2\" class=\"data row16 col2\" >0.547945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row17\" class=\"row_heading level0 row17\" >25</th>\n",
              "      <td id=\"T_542bf_row17_col0\" class=\"data row17 col0\" >MasVnrType</td>\n",
              "      <td id=\"T_542bf_row17_col1\" class=\"data row17 col1\" >8</td>\n",
              "      <td id=\"T_542bf_row17_col2\" class=\"data row17 col2\" >0.547945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_542bf_level0_row18\" class=\"row_heading level0 row18\" >42</th>\n",
              "      <td id=\"T_542bf_row18_col0\" class=\"data row18 col0\" >Electrical</td>\n",
              "      <td id=\"T_542bf_row18_col1\" class=\"data row18 col1\" >1</td>\n",
              "      <td id=\"T_542bf_row18_col2\" class=\"data row18 col2\" >0.068493</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Observations: The missing values appear to be home attributes that may or may not be important to the value of the home. Lets explore this further."
      ],
      "metadata": {
        "id": "DPSY9sJMjq9Y"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Which home variables influence the price of the home\n",
        "I'm curious to know how these house attributes correlate to the sales price. Do buyers really care? Lets see. Which variables are important in relation to the sale price?"
      ],
      "metadata": {
        "id": "GwdsORcoj7DV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#correlation matrix\n",
        "corrmat = df_train.corr()\n",
        "f, ax = plt.subplots(figsize=(12, 9))\n",
        "sns.heatmap(corrmat, vmax=.8, square=True);"
      ],
      "metadata": {
        "id": "ACQK6cmpj6DA",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 865
        },
        "outputId": "d3747b7b-1b99-46cd-874a-7ce726289e71"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x900 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}