{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# House Price Prediction","metadata":{}},{"cell_type":"code","source":"from IPython.display import IFrame\n\nurl = 'https://www.vmcdn.ca/f/files/ottawamatters/images/arts/house-housing.jpg;w=960'\nIFrame(url, width=800, height=500)","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-08-05T19:22:44.447827Z","iopub.execute_input":"2022-08-05T19:22:44.448233Z","iopub.status.idle":"2022-08-05T19:22:44.457119Z","shell.execute_reply.started":"2022-08-05T19:22:44.448200Z","shell.execute_reply":"2022-08-05T19:22:44.455555Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Table of Contents : \n\n  * [Data Manipulation](#sec1)\n       * [Importing Dataset](#sec1.1)\n       * [Dataset View](#sec1.2)\n       * [Dataset Information](#sec1.3)\n       * [Summary Statistics](#sec1.4)\n       * [Checking for unique values in all attributes](#sec1.5)\n       * [Checking for missing values in each column](#sec1.6)\n       * [percentage of missing values in each column](#sec1.7)   \n  * [Data Visualization](#sec2)\n       * [Missing Value Plot](#sec2.1)\n       * [Here Each Attribute Visualised Individually](#sec2.2)","metadata":{}},{"cell_type":"markdown","source":"## Importing Libraries ","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport warnings\nwarnings.filterwarnings(\"ignore\")","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:28.217382Z","iopub.execute_input":"2022-08-05T19:23:28.217798Z","iopub.status.idle":"2022-08-05T19:23:28.866260Z","shell.execute_reply.started":"2022-08-05T19:23:28.217759Z","shell.execute_reply":"2022-08-05T19:23:28.865020Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.set_option('display.max_rows',100,'display.max_columns',100)","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:30.015245Z","iopub.execute_input":"2022-08-05T19:23:30.015697Z","iopub.status.idle":"2022-08-05T19:23:30.021190Z","shell.execute_reply.started":"2022-08-05T19:23:30.015660Z","shell.execute_reply":"2022-08-05T19:23:30.019946Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Importing Dataset <a class=\"anchor\" id=\"sec1.1\"></a>","metadata":{}},{"cell_type":"code","source":"df=pd.read_csv('../input/house-prices-advanced-regression-techniques/train.csv')","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:31.927018Z","iopub.execute_input":"2022-08-05T19:23:31.927411Z","iopub.status.idle":"2022-08-05T19:23:31.972664Z","shell.execute_reply.started":"2022-08-05T19:23:31.927380Z","shell.execute_reply":"2022-08-05T19:23:31.971731Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Dataset View <a class=\"anchor\" id=\"sec1.2\"></a>","metadata":{}},{"cell_type":"code","source":"df.head()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:36.185127Z","iopub.execute_input":"2022-08-05T19:23:36.186400Z","iopub.status.idle":"2022-08-05T19:23:36.249178Z","shell.execute_reply.started":"2022-08-05T19:23:36.186341Z","shell.execute_reply":"2022-08-05T19:23:36.248102Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Dataset Information <a class=\"anchor\" id=\"sec1.3\"></a>","metadata":{}},{"cell_type":"code","source":"df.info()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:40.528281Z","iopub.execute_input":"2022-08-05T19:23:40.529085Z","iopub.status.idle":"2022-08-05T19:23:40.561656Z","shell.execute_reply.started":"2022-08-05T19:23:40.529040Z","shell.execute_reply":"2022-08-05T19:23:40.560441Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Summary Statistics <a class=\"anchor\" id=\"sec1.4\"></a>","metadata":{}},{"cell_type":"code","source":"df.describe()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:42.942357Z","iopub.execute_input":"2022-08-05T19:23:42.942794Z","iopub.status.idle":"2022-08-05T19:23:43.067345Z","shell.execute_reply.started":"2022-08-05T19:23:42.942759Z","shell.execute_reply":"2022-08-05T19:23:43.066415Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Checking for unique values in all attributes <a class=\"anchor\" id=\"sec1.5\"></a>","metadata":{}},{"cell_type":"code","source":"df.nunique()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:44.963749Z","iopub.execute_input":"2022-08-05T19:23:44.964210Z","iopub.status.idle":"2022-08-05T19:23:44.987878Z","shell.execute_reply.started":"2022-08-05T19:23:44.964173Z","shell.execute_reply":"2022-08-05T19:23:44.986843Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Checking for missing values in each column <a class=\"anchor\" id=\"sec1.5\"></a>","metadata":{}},{"cell_type":"code","source":"df.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:48.370502Z","iopub.execute_input":"2022-08-05T19:23:48.370935Z","iopub.status.idle":"2022-08-05T19:23:48.385448Z","shell.execute_reply.started":"2022-08-05T19:23:48.370891Z","shell.execute_reply":"2022-08-05T19:23:48.384206Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Perecentage of missing values in each column <a class=\"anchor\" id=\"sec1.6\"></a>","metadata":{}},{"cell_type":"code","source":"pd.options.display.float_format = '{:,.2f} %'.format\nprint((df.isnull().sum()/len(df))*100)\npd.options.display.float_format = '{:,.2f}'.format","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:50.145612Z","iopub.execute_input":"2022-08-05T19:23:50.146020Z","iopub.status.idle":"2022-08-05T19:23:50.159659Z","shell.execute_reply.started":"2022-08-05T19:23:50.145985Z","shell.execute_reply":"2022-08-05T19:23:50.158437Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Data Visualization <a class=\"anchor\" id=\"sec2\"></a>","metadata":{}},{"cell_type":"markdown","source":"### Missing Value Plot <a class=\"anchor\" id=\"sec2.1\"></a>","metadata":{}},{"cell_type":"code","source":"import missingno as msno","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:54.501865Z","iopub.execute_input":"2022-08-05T19:23:54.502255Z","iopub.status.idle":"2022-08-05T19:23:54.511526Z","shell.execute_reply.started":"2022-08-05T19:23:54.502217Z","shell.execute_reply":"2022-08-05T19:23:54.510616Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"msno.matrix(df,labels=[df.columns],figsize=(30,16),fontsize=12)## Visualize missing values as a matrix","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:23:55.211785Z","iopub.execute_input":"2022-08-05T19:23:55.212482Z","iopub.status.idle":"2022-08-05T19:23:57.856210Z","shell.execute_reply.started":"2022-08-05T19:23:55.212432Z","shell.execute_reply":"2022-08-05T19:23:57.854777Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Here Each Attribute Visualised Individually. <a class=\"anchor\" id=\"sec2.2\"></a>","metadata":{}},{"cell_type":"markdown","source":"## MSSubClass Attribute ","metadata":{}},{"cell_type":"code","source":"print(df['MSSubClass'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:24:01.711229Z","iopub.execute_input":"2022-08-05T19:24:01.711643Z","iopub.status.idle":"2022-08-05T19:24:01.717923Z","shell.execute_reply.started":"2022-08-05T19:24:01.711609Z","shell.execute_reply":"2022-08-05T19:24:01.717049Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['MSSubClass'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='MSSubClass',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['MSSubClass'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='MSSubClass',data=df,ax=ax4,palette='pastel')\nax4=plt.title('BoxPlot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:24:02.557992Z","iopub.execute_input":"2022-08-05T19:24:02.558375Z","iopub.status.idle":"2022-08-05T19:24:04.398282Z","shell.execute_reply.started":"2022-08-05T19:24:02.558345Z","shell.execute_reply":"2022-08-05T19:24:04.397405Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"##  MSZoning","metadata":{}},{"cell_type":"code","source":"print(df['MSZoning'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:24:04.847153Z","iopub.execute_input":"2022-08-05T19:24:04.847647Z","iopub.status.idle":"2022-08-05T19:24:04.855071Z","shell.execute_reply.started":"2022-08-05T19:24:04.847596Z","shell.execute_reply":"2022-08-05T19:24:04.853829Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['MSZoning'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='MSZoning',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['MSZoning'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['MSZoning']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('MSZoning')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:24:05.686370Z","iopub.execute_input":"2022-08-05T19:24:05.686805Z","iopub.status.idle":"2022-08-05T19:24:09.491258Z","shell.execute_reply.started":"2022-08-05T19:24:05.686771Z","shell.execute_reply":"2022-08-05T19:24:09.490067Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## LotFrontage","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='LotFrontage',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='LotFrontage',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['LotFrontage'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='LotFrontage',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-08-05T19:24:09.493251Z","iopub.execute_input":"2022-08-05T19:24:09.493634Z","iopub.status.idle":"2022-08-05T19:24:10.497542Z","shell.execute_reply.started":"2022-08-05T19:24:09.493600Z","shell.execute_reply":"2022-08-05T19:24:10.496227Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Lot Area ","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='LotArea',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='LotArea',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['LotArea'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='LotArea',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:40.461114Z","iopub.execute_input":"2022-06-23T16:06:40.461505Z","iopub.status.idle":"2022-06-23T16:06:41.409482Z","shell.execute_reply.started":"2022-06-23T16:06:40.46147Z","shell.execute_reply":"2022-06-23T16:06:41.40833Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Street","metadata":{}},{"cell_type":"code","source":"print(df['Street'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:41.412565Z","iopub.execute_input":"2022-06-23T16:06:41.413021Z","iopub.status.idle":"2022-06-23T16:06:41.422032Z","shell.execute_reply.started":"2022-06-23T16:06:41.412981Z","shell.execute_reply":"2022-06-23T16:06:41.420462Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Street'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Street',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Street'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Street']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Street')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:41.424241Z","iopub.execute_input":"2022-06-23T16:06:41.4251Z","iopub.status.idle":"2022-06-23T16:06:48.202833Z","shell.execute_reply.started":"2022-06-23T16:06:41.425041Z","shell.execute_reply":"2022-06-23T16:06:48.201735Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Alley","metadata":{}},{"cell_type":"code","source":"df['Alley'].unique()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:48.204279Z","iopub.execute_input":"2022-06-23T16:06:48.20485Z","iopub.status.idle":"2022-06-23T16:06:48.213613Z","shell.execute_reply.started":"2022-06-23T16:06:48.204813Z","shell.execute_reply":"2022-06-23T16:06:48.212312Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Alley'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Alley',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Alley'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Alley']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Alley')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:48.215591Z","iopub.execute_input":"2022-06-23T16:06:48.216414Z","iopub.status.idle":"2022-06-23T16:06:48.773734Z","shell.execute_reply.started":"2022-06-23T16:06:48.216342Z","shell.execute_reply":"2022-06-23T16:06:48.772405Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## LotShape","metadata":{}},{"cell_type":"code","source":"df['LotShape'].unique()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:48.77551Z","iopub.execute_input":"2022-06-23T16:06:48.776725Z","iopub.status.idle":"2022-06-23T16:06:48.786561Z","shell.execute_reply.started":"2022-06-23T16:06:48.776644Z","shell.execute_reply":"2022-06-23T16:06:48.784957Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['LotShape'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='LotShape',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['LotShape'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['LotShape']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('LotShape')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:48.788639Z","iopub.execute_input":"2022-06-23T16:06:48.78914Z","iopub.status.idle":"2022-06-23T16:06:52.979023Z","shell.execute_reply.started":"2022-06-23T16:06:48.789087Z","shell.execute_reply":"2022-06-23T16:06:52.977595Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## LandContour","metadata":{}},{"cell_type":"code","source":"df['LandContour'].unique()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:52.982368Z","iopub.execute_input":"2022-06-23T16:06:52.98279Z","iopub.status.idle":"2022-06-23T16:06:52.992376Z","shell.execute_reply.started":"2022-06-23T16:06:52.982751Z","shell.execute_reply":"2022-06-23T16:06:52.990856Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['LandContour'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='LandContour',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['LandContour'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['LandContour']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('LandContour')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:06:52.993891Z","iopub.execute_input":"2022-06-23T16:06:52.994289Z","iopub.status.idle":"2022-06-23T16:06:58.718183Z","shell.execute_reply.started":"2022-06-23T16:06:52.994255Z","shell.execute_reply":"2022-06-23T16:06:58.716847Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Utilities","metadata":{}},{"cell_type":"code","source":"print(df['Utilities'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:01.203255Z","iopub.execute_input":"2022-06-23T16:07:01.203781Z","iopub.status.idle":"2022-06-23T16:07:01.212219Z","shell.execute_reply.started":"2022-06-23T16:07:01.203728Z","shell.execute_reply":"2022-06-23T16:07:01.210928Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Utilities'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Utilities',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Utilities'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Utilities']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Utilities')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:02.070133Z","iopub.execute_input":"2022-06-23T16:07:02.071626Z","iopub.status.idle":"2022-06-23T16:07:08.904661Z","shell.execute_reply.started":"2022-06-23T16:07:02.07157Z","shell.execute_reply":"2022-06-23T16:07:08.903283Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## LotConfig","metadata":{}},{"cell_type":"code","source":"print(df['LotConfig'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:08.907287Z","iopub.execute_input":"2022-06-23T16:07:08.90776Z","iopub.status.idle":"2022-06-23T16:07:08.916275Z","shell.execute_reply.started":"2022-06-23T16:07:08.907714Z","shell.execute_reply":"2022-06-23T16:07:08.914608Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['LotConfig'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='LotConfig',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['LotConfig'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['LotConfig']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('LotConfig')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:08.91811Z","iopub.execute_input":"2022-06-23T16:07:08.918546Z","iopub.status.idle":"2022-06-23T16:07:13.281166Z","shell.execute_reply.started":"2022-06-23T16:07:08.918509Z","shell.execute_reply":"2022-06-23T16:07:13.279757Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## LandSlope","metadata":{}},{"cell_type":"code","source":"print(df['LandSlope'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:13.28443Z","iopub.execute_input":"2022-06-23T16:07:13.285202Z","iopub.status.idle":"2022-06-23T16:07:13.292836Z","shell.execute_reply.started":"2022-06-23T16:07:13.285157Z","shell.execute_reply":"2022-06-23T16:07:13.291549Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['LandSlope'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='LandSlope',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['LandSlope'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['LandSlope']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('LandSlope')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:13.295035Z","iopub.execute_input":"2022-06-23T16:07:13.295869Z","iopub.status.idle":"2022-06-23T16:07:19.432104Z","shell.execute_reply.started":"2022-06-23T16:07:13.295802Z","shell.execute_reply":"2022-06-23T16:07:19.430988Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Neighborhood","metadata":{}},{"cell_type":"code","source":"print(df['Neighborhood'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:19.433543Z","iopub.execute_input":"2022-06-23T16:07:19.435056Z","iopub.status.idle":"2022-06-23T16:07:19.444336Z","shell.execute_reply.started":"2022-06-23T16:07:19.435002Z","shell.execute_reply":"2022-06-23T16:07:19.442605Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Neighborhood'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Neighborhood',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Neighborhood'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Neighborhood']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Neighborhood')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:19.446334Z","iopub.execute_input":"2022-06-23T16:07:19.446789Z","iopub.status.idle":"2022-06-23T16:07:21.997459Z","shell.execute_reply.started":"2022-06-23T16:07:19.446749Z","shell.execute_reply":"2022-06-23T16:07:21.995984Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Condition1","metadata":{}},{"cell_type":"code","source":"print(df['Condition1'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:21.999133Z","iopub.execute_input":"2022-06-23T16:07:21.999629Z","iopub.status.idle":"2022-06-23T16:07:22.007019Z","shell.execute_reply.started":"2022-06-23T16:07:21.999589Z","shell.execute_reply":"2022-06-23T16:07:22.00562Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Condition1'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Condition1',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Condition1'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Condition1']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Condition1')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:22.009168Z","iopub.execute_input":"2022-06-23T16:07:22.009707Z","iopub.status.idle":"2022-06-23T16:07:27.400352Z","shell.execute_reply.started":"2022-06-23T16:07:22.009593Z","shell.execute_reply":"2022-06-23T16:07:27.399166Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Condition2","metadata":{}},{"cell_type":"code","source":"print(df['Condition2'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:27.404857Z","iopub.execute_input":"2022-06-23T16:07:27.405247Z","iopub.status.idle":"2022-06-23T16:07:27.41268Z","shell.execute_reply.started":"2022-06-23T16:07:27.405212Z","shell.execute_reply":"2022-06-23T16:07:27.411069Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Condition2'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Condition2',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Condition2'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Condition2']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Condition2')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:27.415013Z","iopub.execute_input":"2022-06-23T16:07:27.415532Z","iopub.status.idle":"2022-06-23T16:07:34.721097Z","shell.execute_reply.started":"2022-06-23T16:07:27.415478Z","shell.execute_reply":"2022-06-23T16:07:34.719825Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BldgType","metadata":{}},{"cell_type":"code","source":"print(df['BldgType'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:34.722777Z","iopub.execute_input":"2022-06-23T16:07:34.723259Z","iopub.status.idle":"2022-06-23T16:07:34.731503Z","shell.execute_reply.started":"2022-06-23T16:07:34.723216Z","shell.execute_reply":"2022-06-23T16:07:34.730121Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BldgType'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BldgType',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BldgType'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BldgType']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BldgType')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:34.73326Z","iopub.execute_input":"2022-06-23T16:07:34.734368Z","iopub.status.idle":"2022-06-23T16:07:39.451918Z","shell.execute_reply.started":"2022-06-23T16:07:34.734323Z","shell.execute_reply":"2022-06-23T16:07:39.450062Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## HouseStyle","metadata":{}},{"cell_type":"code","source":"print(df['HouseStyle'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:39.454189Z","iopub.execute_input":"2022-06-23T16:07:39.455567Z","iopub.status.idle":"2022-06-23T16:07:39.464069Z","shell.execute_reply.started":"2022-06-23T16:07:39.45551Z","shell.execute_reply":"2022-06-23T16:07:39.462505Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['HouseStyle'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='HouseStyle',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['HouseStyle'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['HouseStyle']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('HouseStyle')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:39.466464Z","iopub.execute_input":"2022-06-23T16:07:39.46708Z","iopub.status.idle":"2022-06-23T16:07:42.415463Z","shell.execute_reply.started":"2022-06-23T16:07:39.467019Z","shell.execute_reply":"2022-06-23T16:07:42.413959Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## OverallQual","metadata":{}},{"cell_type":"code","source":"print(df['OverallQual'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:42.417403Z","iopub.execute_input":"2022-06-23T16:07:42.417932Z","iopub.status.idle":"2022-06-23T16:07:42.426469Z","shell.execute_reply.started":"2022-06-23T16:07:42.41788Z","shell.execute_reply":"2022-06-23T16:07:42.425103Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['OverallQual'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='OverallQual',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['OverallQual'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['OverallQual']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('OverallQual')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:42.428407Z","iopub.execute_input":"2022-06-23T16:07:42.429001Z","iopub.status.idle":"2022-06-23T16:07:45.588457Z","shell.execute_reply.started":"2022-06-23T16:07:42.428946Z","shell.execute_reply":"2022-06-23T16:07:45.587101Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## OverallCond","metadata":{}},{"cell_type":"code","source":"print(df['OverallCond'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:45.590712Z","iopub.execute_input":"2022-06-23T16:07:45.59115Z","iopub.status.idle":"2022-06-23T16:07:45.599822Z","shell.execute_reply.started":"2022-06-23T16:07:45.59111Z","shell.execute_reply":"2022-06-23T16:07:45.598353Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['OverallCond'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='OverallCond',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['OverallCond'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['OverallCond']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('OverallCond')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:45.602069Z","iopub.execute_input":"2022-06-23T16:07:45.602987Z","iopub.status.idle":"2022-06-23T16:07:48.669431Z","shell.execute_reply.started":"2022-06-23T16:07:45.602947Z","shell.execute_reply":"2022-06-23T16:07:48.668057Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## YearBuilt","metadata":{}},{"cell_type":"code","source":"print(df['YearBuilt'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:48.670957Z","iopub.execute_input":"2022-06-23T16:07:48.671331Z","iopub.status.idle":"2022-06-23T16:07:48.679371Z","shell.execute_reply.started":"2022-06-23T16:07:48.671296Z","shell.execute_reply":"2022-06-23T16:07:48.677901Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['YearBuilt'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='YearBuilt',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['YearBuilt'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['YearBuilt']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('YearBuilt')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:48.681343Z","iopub.execute_input":"2022-06-23T16:07:48.681863Z","iopub.status.idle":"2022-06-23T16:07:56.044016Z","shell.execute_reply.started":"2022-06-23T16:07:48.681819Z","shell.execute_reply":"2022-06-23T16:07:56.042912Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## YearRemodAdd","metadata":{}},{"cell_type":"code","source":"print(df['YearRemodAdd'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:56.045462Z","iopub.execute_input":"2022-06-23T16:07:56.045894Z","iopub.status.idle":"2022-06-23T16:07:56.052608Z","shell.execute_reply.started":"2022-06-23T16:07:56.045854Z","shell.execute_reply":"2022-06-23T16:07:56.051361Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['YearRemodAdd'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='YearRemodAdd',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['YearRemodAdd'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['YearRemodAdd']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('YearRemodAdd')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:07:56.054697Z","iopub.execute_input":"2022-06-23T16:07:56.055801Z","iopub.status.idle":"2022-06-23T16:08:00.481505Z","shell.execute_reply.started":"2022-06-23T16:07:56.055744Z","shell.execute_reply":"2022-06-23T16:08:00.479979Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## RoofStyle","metadata":{}},{"cell_type":"code","source":"print(df['RoofStyle'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:00.483229Z","iopub.execute_input":"2022-06-23T16:08:00.48378Z","iopub.status.idle":"2022-06-23T16:08:00.493189Z","shell.execute_reply.started":"2022-06-23T16:08:00.483738Z","shell.execute_reply":"2022-06-23T16:08:00.49158Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['RoofStyle'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='RoofStyle',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['RoofStyle'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['RoofStyle']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('RoofStyle')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:00.494445Z","iopub.execute_input":"2022-06-23T16:08:00.494883Z","iopub.status.idle":"2022-06-23T16:08:05.261392Z","shell.execute_reply.started":"2022-06-23T16:08:00.494844Z","shell.execute_reply":"2022-06-23T16:08:05.259966Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## RoofMatl ","metadata":{}},{"cell_type":"code","source":"print(df['RoofMatl'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:05.263015Z","iopub.execute_input":"2022-06-23T16:08:05.264375Z","iopub.status.idle":"2022-06-23T16:08:05.272939Z","shell.execute_reply.started":"2022-06-23T16:08:05.264304Z","shell.execute_reply":"2022-06-23T16:08:05.271253Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['RoofMatl'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='RoofMatl',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['RoofMatl'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['RoofMatl']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('RoofMatl')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:05.275434Z","iopub.execute_input":"2022-06-23T16:08:05.276255Z","iopub.status.idle":"2022-06-23T16:08:12.254556Z","shell.execute_reply.started":"2022-06-23T16:08:05.276215Z","shell.execute_reply":"2022-06-23T16:08:12.253168Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Exterior1st","metadata":{}},{"cell_type":"code","source":"print(df['Exterior1st'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:12.260365Z","iopub.execute_input":"2022-06-23T16:08:12.26081Z","iopub.status.idle":"2022-06-23T16:08:12.269103Z","shell.execute_reply.started":"2022-06-23T16:08:12.260773Z","shell.execute_reply":"2022-06-23T16:08:12.26742Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Exterior1st'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Exterior1st',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Exterior1st'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Exterior1st']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Exterior1st')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:12.270541Z","iopub.execute_input":"2022-06-23T16:08:12.270978Z","iopub.status.idle":"2022-06-23T16:08:14.756437Z","shell.execute_reply.started":"2022-06-23T16:08:12.270939Z","shell.execute_reply":"2022-06-23T16:08:14.755116Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Exterior2nd","metadata":{}},{"cell_type":"code","source":"print(df['Exterior2nd'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:14.758262Z","iopub.execute_input":"2022-06-23T16:08:14.759468Z","iopub.status.idle":"2022-06-23T16:08:14.767328Z","shell.execute_reply.started":"2022-06-23T16:08:14.759419Z","shell.execute_reply":"2022-06-23T16:08:14.76609Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Exterior2nd'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Exterior2nd',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Exterior2nd'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Exterior2nd']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Exterior2nd')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:14.769296Z","iopub.execute_input":"2022-06-23T16:08:14.770463Z","iopub.status.idle":"2022-06-23T16:08:17.699646Z","shell.execute_reply.started":"2022-06-23T16:08:14.770418Z","shell.execute_reply":"2022-06-23T16:08:17.69486Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## MasVnrType","metadata":{}},{"cell_type":"code","source":"print(df['MasVnrType'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:17.701771Z","iopub.execute_input":"2022-06-23T16:08:17.702605Z","iopub.status.idle":"2022-06-23T16:08:17.711897Z","shell.execute_reply.started":"2022-06-23T16:08:17.702551Z","shell.execute_reply":"2022-06-23T16:08:17.710427Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['MasVnrType'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='MasVnrType',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['MasVnrType'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['MasVnrType']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('MasVnrType')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:17.71448Z","iopub.execute_input":"2022-06-23T16:08:17.715593Z","iopub.status.idle":"2022-06-23T16:08:21.465907Z","shell.execute_reply.started":"2022-06-23T16:08:17.71553Z","shell.execute_reply":"2022-06-23T16:08:21.464572Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## MasVnrArea","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='MasVnrArea',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='MasVnrArea',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['MasVnrArea'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='MasVnrArea',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:23.698977Z","iopub.execute_input":"2022-06-23T16:08:23.699445Z","iopub.status.idle":"2022-06-23T16:08:24.669149Z","shell.execute_reply.started":"2022-06-23T16:08:23.699406Z","shell.execute_reply":"2022-06-23T16:08:24.667876Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## ExterQual","metadata":{}},{"cell_type":"code","source":"print(df['ExterQual'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:24.758785Z","iopub.execute_input":"2022-06-23T16:08:24.760096Z","iopub.status.idle":"2022-06-23T16:08:24.767226Z","shell.execute_reply.started":"2022-06-23T16:08:24.760043Z","shell.execute_reply":"2022-06-23T16:08:24.766164Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['ExterQual'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='ExterQual',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['ExterQual'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['ExterQual']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('ExterQual')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:25.197966Z","iopub.execute_input":"2022-06-23T16:08:25.199077Z","iopub.status.idle":"2022-06-23T16:08:30.299943Z","shell.execute_reply.started":"2022-06-23T16:08:25.199026Z","shell.execute_reply":"2022-06-23T16:08:30.29831Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## ExterCond","metadata":{}},{"cell_type":"code","source":"print(df['ExterCond'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:30.302475Z","iopub.execute_input":"2022-06-23T16:08:30.304236Z","iopub.status.idle":"2022-06-23T16:08:30.312492Z","shell.execute_reply.started":"2022-06-23T16:08:30.30415Z","shell.execute_reply":"2022-06-23T16:08:30.310506Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['ExterCond'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='ExterCond',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['ExterCond'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['ExterCond']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('ExterCond')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:30.314879Z","iopub.execute_input":"2022-06-23T16:08:30.315797Z","iopub.status.idle":"2022-06-23T16:08:35.638206Z","shell.execute_reply.started":"2022-06-23T16:08:30.315733Z","shell.execute_reply":"2022-06-23T16:08:35.636897Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Foundation","metadata":{}},{"cell_type":"code","source":"print(df['Foundation'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:35.641435Z","iopub.execute_input":"2022-06-23T16:08:35.641854Z","iopub.status.idle":"2022-06-23T16:08:35.648685Z","shell.execute_reply.started":"2022-06-23T16:08:35.641814Z","shell.execute_reply":"2022-06-23T16:08:35.647367Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Foundation'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Foundation',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Foundation'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Foundation']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Foundation')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:35.650075Z","iopub.execute_input":"2022-06-23T16:08:35.650866Z","iopub.status.idle":"2022-06-23T16:08:39.110828Z","shell.execute_reply.started":"2022-06-23T16:08:35.650807Z","shell.execute_reply":"2022-06-23T16:08:39.109353Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtQual","metadata":{}},{"cell_type":"code","source":"print(df['BsmtQual'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:39.112587Z","iopub.execute_input":"2022-06-23T16:08:39.113079Z","iopub.status.idle":"2022-06-23T16:08:39.120187Z","shell.execute_reply.started":"2022-06-23T16:08:39.113036Z","shell.execute_reply":"2022-06-23T16:08:39.118786Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BsmtQual'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BsmtQual',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BsmtQual'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BsmtQual']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BsmtQual')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:39.122056Z","iopub.execute_input":"2022-06-23T16:08:39.122459Z","iopub.status.idle":"2022-06-23T16:08:43.48881Z","shell.execute_reply.started":"2022-06-23T16:08:39.122413Z","shell.execute_reply":"2022-06-23T16:08:43.487406Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtCond","metadata":{}},{"cell_type":"code","source":"print(df['BsmtCond'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:43.490636Z","iopub.execute_input":"2022-06-23T16:08:43.491613Z","iopub.status.idle":"2022-06-23T16:08:43.500536Z","shell.execute_reply.started":"2022-06-23T16:08:43.491554Z","shell.execute_reply":"2022-06-23T16:08:43.499011Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BsmtCond'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BsmtCond',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BsmtCond'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BsmtCond']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BsmtCond')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:43.50398Z","iopub.execute_input":"2022-06-23T16:08:43.504507Z","iopub.status.idle":"2022-06-23T16:08:49.094926Z","shell.execute_reply.started":"2022-06-23T16:08:43.504467Z","shell.execute_reply":"2022-06-23T16:08:49.093483Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtExposure","metadata":{}},{"cell_type":"code","source":"print(df['BsmtExposure'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:49.101604Z","iopub.execute_input":"2022-06-23T16:08:49.10327Z","iopub.status.idle":"2022-06-23T16:08:49.112015Z","shell.execute_reply.started":"2022-06-23T16:08:49.103115Z","shell.execute_reply":"2022-06-23T16:08:49.110455Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BsmtExposure'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BsmtExposure',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BsmtExposure'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BsmtExposure']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BsmtExposure')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:49.114156Z","iopub.execute_input":"2022-06-23T16:08:49.114549Z","iopub.status.idle":"2022-06-23T16:08:52.938753Z","shell.execute_reply.started":"2022-06-23T16:08:49.114511Z","shell.execute_reply":"2022-06-23T16:08:52.937505Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtFinType1 ","metadata":{}},{"cell_type":"code","source":"print(df['BsmtFinType1'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:52.940459Z","iopub.execute_input":"2022-06-23T16:08:52.940861Z","iopub.status.idle":"2022-06-23T16:08:52.949939Z","shell.execute_reply.started":"2022-06-23T16:08:52.940826Z","shell.execute_reply":"2022-06-23T16:08:52.948231Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BsmtFinType1'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BsmtFinType1',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BsmtFinType1'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BsmtFinType1']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BsmtFinType1')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:52.952557Z","iopub.execute_input":"2022-06-23T16:08:52.953156Z","iopub.status.idle":"2022-06-23T16:08:54.927603Z","shell.execute_reply.started":"2022-06-23T16:08:52.953102Z","shell.execute_reply":"2022-06-23T16:08:54.92614Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtFinSF1","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='BsmtFinSF1',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='BsmtFinSF1',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['BsmtFinSF1'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='BsmtFinSF1',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:54.929865Z","iopub.execute_input":"2022-06-23T16:08:54.930242Z","iopub.status.idle":"2022-06-23T16:08:55.819801Z","shell.execute_reply.started":"2022-06-23T16:08:54.93021Z","shell.execute_reply":"2022-06-23T16:08:55.818786Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtFinType2","metadata":{}},{"cell_type":"code","source":"print(df['BsmtFinType2'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:55.821403Z","iopub.execute_input":"2022-06-23T16:08:55.821809Z","iopub.status.idle":"2022-06-23T16:08:55.82957Z","shell.execute_reply.started":"2022-06-23T16:08:55.821771Z","shell.execute_reply":"2022-06-23T16:08:55.8277Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtFinSF2 ","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='BsmtFinSF2',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='BsmtFinSF2',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['BsmtFinSF2'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='BsmtFinSF2',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:55.831282Z","iopub.execute_input":"2022-06-23T16:08:55.831809Z","iopub.status.idle":"2022-06-23T16:08:56.739845Z","shell.execute_reply.started":"2022-06-23T16:08:55.831773Z","shell.execute_reply":"2022-06-23T16:08:56.738616Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtUnfSF","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='BsmtUnfSF',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='BsmtUnfSF',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['BsmtUnfSF'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='BsmtUnfSF',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:56.741562Z","iopub.execute_input":"2022-06-23T16:08:56.742255Z","iopub.status.idle":"2022-06-23T16:08:57.905481Z","shell.execute_reply.started":"2022-06-23T16:08:56.742217Z","shell.execute_reply":"2022-06-23T16:08:57.904223Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## TotalBsmtSF","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='TotalBsmtSF',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='TotalBsmtSF',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['TotalBsmtSF'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='TotalBsmtSF',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:57.907321Z","iopub.execute_input":"2022-06-23T16:08:57.908317Z","iopub.status.idle":"2022-06-23T16:08:58.844351Z","shell.execute_reply.started":"2022-06-23T16:08:57.90827Z","shell.execute_reply":"2022-06-23T16:08:58.842885Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Heating","metadata":{}},{"cell_type":"code","source":"print(df['Heating'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:58.846451Z","iopub.execute_input":"2022-06-23T16:08:58.846832Z","iopub.status.idle":"2022-06-23T16:08:58.853702Z","shell.execute_reply.started":"2022-06-23T16:08:58.84679Z","shell.execute_reply":"2022-06-23T16:08:58.852181Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Heating'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Heating',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Heating'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Heating']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Heating')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:08:58.855928Z","iopub.execute_input":"2022-06-23T16:08:58.856338Z","iopub.status.idle":"2022-06-23T16:09:05.697548Z","shell.execute_reply.started":"2022-06-23T16:08:58.856302Z","shell.execute_reply":"2022-06-23T16:09:05.696163Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## HeatingQC","metadata":{}},{"cell_type":"code","source":"print(df['HeatingQC'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:05.699259Z","iopub.execute_input":"2022-06-23T16:09:05.700101Z","iopub.status.idle":"2022-06-23T16:09:05.708354Z","shell.execute_reply.started":"2022-06-23T16:09:05.700055Z","shell.execute_reply":"2022-06-23T16:09:05.706568Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['HeatingQC'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='HeatingQC',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['HeatingQC'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['HeatingQC']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('HeatingQC')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:05.710746Z","iopub.execute_input":"2022-06-23T16:09:05.711276Z","iopub.status.idle":"2022-06-23T16:09:08.598785Z","shell.execute_reply.started":"2022-06-23T16:09:05.711221Z","shell.execute_reply":"2022-06-23T16:09:08.597584Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## CentralAir","metadata":{}},{"cell_type":"code","source":"print(df['CentralAir'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:08.600145Z","iopub.execute_input":"2022-06-23T16:09:08.601043Z","iopub.status.idle":"2022-06-23T16:09:08.608563Z","shell.execute_reply.started":"2022-06-23T16:09:08.601004Z","shell.execute_reply":"2022-06-23T16:09:08.607081Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['CentralAir'],ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='CentralAir',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['CentralAir'],kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['CentralAir']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('CentralAir')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:08.610962Z","iopub.execute_input":"2022-06-23T16:09:08.611488Z","iopub.status.idle":"2022-06-23T16:09:14.828659Z","shell.execute_reply.started":"2022-06-23T16:09:08.611436Z","shell.execute_reply":"2022-06-23T16:09:14.826899Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Electrical","metadata":{}},{"cell_type":"code","source":"print(df['Electrical'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:14.831257Z","iopub.execute_input":"2022-06-23T16:09:14.831645Z","iopub.status.idle":"2022-06-23T16:09:14.838958Z","shell.execute_reply.started":"2022-06-23T16:09:14.831604Z","shell.execute_reply":"2022-06-23T16:09:14.837627Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Electrical'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Electrical',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Electrical'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Electrical']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Electrical')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:14.841482Z","iopub.execute_input":"2022-06-23T16:09:14.842092Z","iopub.status.idle":"2022-06-23T16:09:20.715557Z","shell.execute_reply.started":"2022-06-23T16:09:14.842034Z","shell.execute_reply":"2022-06-23T16:09:20.714152Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 1stFlrSF ","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='1stFlrSF',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='1stFlrSF',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['1stFlrSF'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='1stFlrSF',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:20.717155Z","iopub.execute_input":"2022-06-23T16:09:20.717532Z","iopub.status.idle":"2022-06-23T16:09:21.945076Z","shell.execute_reply.started":"2022-06-23T16:09:20.717495Z","shell.execute_reply":"2022-06-23T16:09:21.94376Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 2ndFlrSF","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='2ndFlrSF',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='2ndFlrSF',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['2ndFlrSF'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='2ndFlrSF',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:21.951475Z","iopub.execute_input":"2022-06-23T16:09:21.951965Z","iopub.status.idle":"2022-06-23T16:09:22.768025Z","shell.execute_reply.started":"2022-06-23T16:09:21.951925Z","shell.execute_reply":"2022-06-23T16:09:22.766711Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## LowQualFinSF","metadata":{}},{"cell_type":"code","source":"print(df['LowQualFinSF'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:22.769366Z","iopub.execute_input":"2022-06-23T16:09:22.769738Z","iopub.status.idle":"2022-06-23T16:09:22.77831Z","shell.execute_reply.started":"2022-06-23T16:09:22.769697Z","shell.execute_reply":"2022-06-23T16:09:22.776945Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='LowQualFinSF',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='LowQualFinSF',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['LowQualFinSF'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='LowQualFinSF',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:22.780576Z","iopub.execute_input":"2022-06-23T16:09:22.781392Z","iopub.status.idle":"2022-06-23T16:09:23.725583Z","shell.execute_reply.started":"2022-06-23T16:09:22.781339Z","shell.execute_reply":"2022-06-23T16:09:23.723891Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GrLivArea","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='GrLivArea',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='GrLivArea',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['GrLivArea'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='GrLivArea',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:23.727119Z","iopub.execute_input":"2022-06-23T16:09:23.727466Z","iopub.status.idle":"2022-06-23T16:09:24.622965Z","shell.execute_reply.started":"2022-06-23T16:09:23.727434Z","shell.execute_reply":"2022-06-23T16:09:24.62139Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtFullBath","metadata":{}},{"cell_type":"code","source":"print(df['BsmtFullBath'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:24.625119Z","iopub.execute_input":"2022-06-23T16:09:24.625848Z","iopub.status.idle":"2022-06-23T16:09:24.633769Z","shell.execute_reply.started":"2022-06-23T16:09:24.625678Z","shell.execute_reply":"2022-06-23T16:09:24.63271Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BsmtFullBath'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BsmtFullBath',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BsmtFullBath'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BsmtFullBath']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BsmtFullBath')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:24.635302Z","iopub.execute_input":"2022-06-23T16:09:24.636584Z","iopub.status.idle":"2022-06-23T16:09:28.396711Z","shell.execute_reply.started":"2022-06-23T16:09:24.636532Z","shell.execute_reply":"2022-06-23T16:09:28.39509Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BsmtHalfBath","metadata":{}},{"cell_type":"code","source":"print(df['BsmtHalfBath'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:28.398446Z","iopub.execute_input":"2022-06-23T16:09:28.399878Z","iopub.status.idle":"2022-06-23T16:09:28.407508Z","shell.execute_reply.started":"2022-06-23T16:09:28.39983Z","shell.execute_reply":"2022-06-23T16:09:28.406443Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BsmtHalfBath'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BsmtHalfBath',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BsmtHalfBath'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BsmtHalfBath']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BsmtHalfBath')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:28.408997Z","iopub.execute_input":"2022-06-23T16:09:28.410025Z","iopub.status.idle":"2022-06-23T16:09:34.535885Z","shell.execute_reply.started":"2022-06-23T16:09:28.409983Z","shell.execute_reply":"2022-06-23T16:09:34.533486Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## FullBath","metadata":{}},{"cell_type":"code","source":"print(df['FullBath'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:34.538748Z","iopub.execute_input":"2022-06-23T16:09:34.539802Z","iopub.status.idle":"2022-06-23T16:09:34.54905Z","shell.execute_reply.started":"2022-06-23T16:09:34.539738Z","shell.execute_reply":"2022-06-23T16:09:34.547361Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['FullBath'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='FullBath',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['FullBath'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['FullBath']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('FullBath')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:34.551593Z","iopub.execute_input":"2022-06-23T16:09:34.552269Z","iopub.status.idle":"2022-06-23T16:09:39.431182Z","shell.execute_reply.started":"2022-06-23T16:09:34.552219Z","shell.execute_reply":"2022-06-23T16:09:39.429758Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## HalfBath ","metadata":{}},{"cell_type":"code","source":"print(df['HalfBath'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:39.433053Z","iopub.execute_input":"2022-06-23T16:09:39.433428Z","iopub.status.idle":"2022-06-23T16:09:39.440823Z","shell.execute_reply.started":"2022-06-23T16:09:39.433395Z","shell.execute_reply":"2022-06-23T16:09:39.439178Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['HalfBath'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='HalfBath',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['HalfBath'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['HalfBath']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('HalfBath')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:39.443076Z","iopub.execute_input":"2022-06-23T16:09:39.443536Z","iopub.status.idle":"2022-06-23T16:09:43.521979Z","shell.execute_reply.started":"2022-06-23T16:09:39.443463Z","shell.execute_reply":"2022-06-23T16:09:43.520473Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## BedroomAbvGr","metadata":{}},{"cell_type":"code","source":"print(df['BedroomAbvGr'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:43.524042Z","iopub.execute_input":"2022-06-23T16:09:43.524868Z","iopub.status.idle":"2022-06-23T16:09:43.532088Z","shell.execute_reply.started":"2022-06-23T16:09:43.524827Z","shell.execute_reply":"2022-06-23T16:09:43.53054Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['BedroomAbvGr'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='BedroomAbvGr',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['BedroomAbvGr'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['BedroomAbvGr']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('BedroomAbvGr')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:43.533928Z","iopub.execute_input":"2022-06-23T16:09:43.534438Z","iopub.status.idle":"2022-06-23T16:09:46.894061Z","shell.execute_reply.started":"2022-06-23T16:09:43.5344Z","shell.execute_reply":"2022-06-23T16:09:46.892422Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## KitchenAbvGr","metadata":{}},{"cell_type":"code","source":"print(df['KitchenAbvGr'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:50.12586Z","iopub.execute_input":"2022-06-23T16:09:50.126341Z","iopub.status.idle":"2022-06-23T16:09:50.133898Z","shell.execute_reply.started":"2022-06-23T16:09:50.126304Z","shell.execute_reply":"2022-06-23T16:09:50.132457Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['KitchenAbvGr'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='KitchenAbvGr',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['KitchenAbvGr'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['KitchenAbvGr']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('KitchenAbvGr')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:50.671947Z","iopub.execute_input":"2022-06-23T16:09:50.672427Z","iopub.status.idle":"2022-06-23T16:09:56.69805Z","shell.execute_reply.started":"2022-06-23T16:09:50.672389Z","shell.execute_reply":"2022-06-23T16:09:56.696505Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## KitchenQual","metadata":{}},{"cell_type":"code","source":"print(df['KitchenQual'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:56.700889Z","iopub.execute_input":"2022-06-23T16:09:56.701412Z","iopub.status.idle":"2022-06-23T16:09:56.710258Z","shell.execute_reply.started":"2022-06-23T16:09:56.701361Z","shell.execute_reply":"2022-06-23T16:09:56.708871Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['KitchenQual'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='KitchenQual',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['KitchenQual'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['KitchenQual']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('KitchenQual')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:09:56.711922Z","iopub.execute_input":"2022-06-23T16:09:56.713153Z","iopub.status.idle":"2022-06-23T16:10:00.764311Z","shell.execute_reply.started":"2022-06-23T16:09:56.713097Z","shell.execute_reply":"2022-06-23T16:10:00.762898Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## TotRmsAbvGrd","metadata":{}},{"cell_type":"code","source":"print(df['TotRmsAbvGrd'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:00.767077Z","iopub.execute_input":"2022-06-23T16:10:00.768207Z","iopub.status.idle":"2022-06-23T16:10:00.774716Z","shell.execute_reply.started":"2022-06-23T16:10:00.768162Z","shell.execute_reply":"2022-06-23T16:10:00.773244Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['TotRmsAbvGrd'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='TotRmsAbvGrd',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['TotRmsAbvGrd'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['TotRmsAbvGrd']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('TotRmsAbvGrd')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:00.776459Z","iopub.execute_input":"2022-06-23T16:10:00.777718Z","iopub.status.idle":"2022-06-23T16:10:03.607388Z","shell.execute_reply.started":"2022-06-23T16:10:00.777632Z","shell.execute_reply":"2022-06-23T16:10:03.605807Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Functional","metadata":{}},{"cell_type":"code","source":"print(df['Functional'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:03.609018Z","iopub.execute_input":"2022-06-23T16:10:03.609403Z","iopub.status.idle":"2022-06-23T16:10:03.618739Z","shell.execute_reply.started":"2022-06-23T16:10:03.609368Z","shell.execute_reply":"2022-06-23T16:10:03.617324Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Functional'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Functional',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Functional'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Functional']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Functional')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:03.620861Z","iopub.execute_input":"2022-06-23T16:10:03.621975Z","iopub.status.idle":"2022-06-23T16:10:09.614456Z","shell.execute_reply.started":"2022-06-23T16:10:03.621902Z","shell.execute_reply":"2022-06-23T16:10:09.613092Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Fireplaces","metadata":{}},{"cell_type":"code","source":"print(df['Fireplaces'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:09.616577Z","iopub.execute_input":"2022-06-23T16:10:09.617009Z","iopub.status.idle":"2022-06-23T16:10:09.623874Z","shell.execute_reply.started":"2022-06-23T16:10:09.61697Z","shell.execute_reply":"2022-06-23T16:10:09.622527Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Fireplaces'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Fireplaces',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Fireplaces'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Fireplaces']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Fireplaces')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:09.625572Z","iopub.execute_input":"2022-06-23T16:10:09.626041Z","iopub.status.idle":"2022-06-23T16:10:13.311476Z","shell.execute_reply.started":"2022-06-23T16:10:09.626005Z","shell.execute_reply":"2022-06-23T16:10:13.310119Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## FireplaceQu","metadata":{}},{"cell_type":"code","source":"print(df['FireplaceQu'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:13.315047Z","iopub.execute_input":"2022-06-23T16:10:13.315509Z","iopub.status.idle":"2022-06-23T16:10:13.323889Z","shell.execute_reply.started":"2022-06-23T16:10:13.315469Z","shell.execute_reply":"2022-06-23T16:10:13.322342Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['FireplaceQu'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='FireplaceQu',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['FireplaceQu'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['FireplaceQu']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('FireplaceQu')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:13.325579Z","iopub.execute_input":"2022-06-23T16:10:13.326043Z","iopub.status.idle":"2022-06-23T16:10:14.683635Z","shell.execute_reply.started":"2022-06-23T16:10:13.325993Z","shell.execute_reply":"2022-06-23T16:10:14.682136Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GarageType","metadata":{}},{"cell_type":"code","source":"print(df['GarageType'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:14.685418Z","iopub.execute_input":"2022-06-23T16:10:14.686159Z","iopub.status.idle":"2022-06-23T16:10:14.694557Z","shell.execute_reply.started":"2022-06-23T16:10:14.686096Z","shell.execute_reply":"2022-06-23T16:10:14.693446Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['GarageType'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='GarageType',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['GarageType'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['GarageType']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('GarageType')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:14.695951Z","iopub.execute_input":"2022-06-23T16:10:14.696349Z","iopub.status.idle":"2022-06-23T16:10:18.279417Z","shell.execute_reply.started":"2022-06-23T16:10:14.696315Z","shell.execute_reply":"2022-06-23T16:10:18.277792Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GarageYrBlt ","metadata":{}},{"cell_type":"code","source":"print(df['GarageYrBlt'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:18.281871Z","iopub.execute_input":"2022-06-23T16:10:18.282463Z","iopub.status.idle":"2022-06-23T16:10:18.297249Z","shell.execute_reply.started":"2022-06-23T16:10:18.282407Z","shell.execute_reply":"2022-06-23T16:10:18.295902Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['GarageYrBlt'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='GarageYrBlt',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['GarageYrBlt'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['GarageYrBlt']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('GarageYrBlt')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2022-06-23T16:10:20.671143Z","iopub.execute_input":"2022-06-23T16:10:20.671612Z","iopub.status.idle":"2022-06-23T16:10:27.241392Z","shell.execute_reply.started":"2022-06-23T16:10:20.671577Z","shell.execute_reply":"2022-06-23T16:10:27.23987Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GarageFinish","metadata":{}},{"cell_type":"code","source":"print(df['GarageFinish'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:27.243708Z","iopub.execute_input":"2022-06-23T16:10:27.244221Z","iopub.status.idle":"2022-06-23T16:10:27.252047Z","shell.execute_reply.started":"2022-06-23T16:10:27.244177Z","shell.execute_reply":"2022-06-23T16:10:27.250496Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['GarageFinish'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='GarageFinish',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['GarageFinish'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['GarageFinish']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('GarageFinish')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:27.253843Z","iopub.execute_input":"2022-06-23T16:10:27.254843Z","iopub.status.idle":"2022-06-23T16:10:30.471013Z","shell.execute_reply.started":"2022-06-23T16:10:27.25476Z","shell.execute_reply":"2022-06-23T16:10:30.469643Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GarageCars","metadata":{}},{"cell_type":"code","source":"print(df['GarageCars'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:30.474439Z","iopub.execute_input":"2022-06-23T16:10:30.475329Z","iopub.status.idle":"2022-06-23T16:10:30.485028Z","shell.execute_reply.started":"2022-06-23T16:10:30.475267Z","shell.execute_reply":"2022-06-23T16:10:30.483313Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['GarageCars'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='GarageCars',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['GarageCars'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['GarageCars']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('GarageCars')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:30.487355Z","iopub.execute_input":"2022-06-23T16:10:30.487809Z","iopub.status.idle":"2022-06-23T16:10:34.773064Z","shell.execute_reply.started":"2022-06-23T16:10:30.487771Z","shell.execute_reply":"2022-06-23T16:10:34.771668Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GarageArea","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='GarageArea',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='GarageArea',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['GarageArea'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='GarageArea',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:34.774592Z","iopub.execute_input":"2022-06-23T16:10:34.774961Z","iopub.status.idle":"2022-06-23T16:10:35.683985Z","shell.execute_reply.started":"2022-06-23T16:10:34.774928Z","shell.execute_reply":"2022-06-23T16:10:35.682001Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GarageQual","metadata":{}},{"cell_type":"code","source":"print(df['GarageQual'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:35.685847Z","iopub.execute_input":"2022-06-23T16:10:35.686289Z","iopub.status.idle":"2022-06-23T16:10:35.693999Z","shell.execute_reply.started":"2022-06-23T16:10:35.686245Z","shell.execute_reply":"2022-06-23T16:10:35.692626Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['GarageQual'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='GarageQual',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['GarageQual'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['GarageQual']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('GarageQual')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:35.6957Z","iopub.execute_input":"2022-06-23T16:10:35.696175Z","iopub.status.idle":"2022-06-23T16:10:41.497258Z","shell.execute_reply.started":"2022-06-23T16:10:35.696136Z","shell.execute_reply":"2022-06-23T16:10:41.495592Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GarageCond","metadata":{}},{"cell_type":"code","source":"print(df['GarageCond'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:41.499238Z","iopub.execute_input":"2022-06-23T16:10:41.499797Z","iopub.status.idle":"2022-06-23T16:10:41.508931Z","shell.execute_reply.started":"2022-06-23T16:10:41.49974Z","shell.execute_reply":"2022-06-23T16:10:41.507444Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['GarageCond'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='GarageCond',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['GarageCond'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['GarageCond']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('GarageCond')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:41.513775Z","iopub.execute_input":"2022-06-23T16:10:41.5148Z","iopub.status.idle":"2022-06-23T16:10:47.263275Z","shell.execute_reply.started":"2022-06-23T16:10:41.514735Z","shell.execute_reply":"2022-06-23T16:10:47.261816Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## PavedDrive","metadata":{}},{"cell_type":"code","source":"print(df['PavedDrive'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:47.265081Z","iopub.execute_input":"2022-06-23T16:10:47.265564Z","iopub.status.idle":"2022-06-23T16:10:47.273155Z","shell.execute_reply.started":"2022-06-23T16:10:47.265519Z","shell.execute_reply":"2022-06-23T16:10:47.272153Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['PavedDrive'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='PavedDrive',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['PavedDrive'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['PavedDrive']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('PavedDrive')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:47.274496Z","iopub.execute_input":"2022-06-23T16:10:47.275169Z","iopub.status.idle":"2022-06-23T16:10:53.145239Z","shell.execute_reply.started":"2022-06-23T16:10:47.275131Z","shell.execute_reply":"2022-06-23T16:10:53.143986Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## WoodDeckSF ","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='WoodDeckSF',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='WoodDeckSF',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['WoodDeckSF'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='WoodDeckSF',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:53.146785Z","iopub.execute_input":"2022-06-23T16:10:53.147161Z","iopub.status.idle":"2022-06-23T16:10:54.333457Z","shell.execute_reply.started":"2022-06-23T16:10:53.147125Z","shell.execute_reply":"2022-06-23T16:10:54.33201Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## OpenPorchSF","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='OpenPorchSF',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='OpenPorchSF',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['OpenPorchSF'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='OpenPorchSF',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:54.335682Z","iopub.execute_input":"2022-06-23T16:10:54.33613Z","iopub.status.idle":"2022-06-23T16:10:55.268352Z","shell.execute_reply.started":"2022-06-23T16:10:54.336094Z","shell.execute_reply":"2022-06-23T16:10:55.266838Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## EnclosedPorch","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='EnclosedPorch',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='EnclosedPorch',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['EnclosedPorch'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='EnclosedPorch',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:10:55.270119Z","iopub.execute_input":"2022-06-23T16:10:55.271372Z","iopub.status.idle":"2022-06-23T16:10:56.216074Z","shell.execute_reply.started":"2022-06-23T16:10:55.271314Z","shell.execute_reply":"2022-06-23T16:10:56.214711Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 3SsnPorch","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='3SsnPorch',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='3SsnPorch',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['3SsnPorch'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='3SsnPorch',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:12.965576Z","iopub.execute_input":"2022-06-23T16:11:12.967098Z","iopub.status.idle":"2022-06-23T16:11:14.012425Z","shell.execute_reply.started":"2022-06-23T16:11:12.967027Z","shell.execute_reply":"2022-06-23T16:11:14.010833Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## ScreenPorch","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='ScreenPorch',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='ScreenPorch',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['ScreenPorch'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='ScreenPorch',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:14.109784Z","iopub.execute_input":"2022-06-23T16:11:14.110243Z","iopub.status.idle":"2022-06-23T16:11:15.027068Z","shell.execute_reply.started":"2022-06-23T16:11:14.110208Z","shell.execute_reply":"2022-06-23T16:11:15.025553Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## PoolArea","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='PoolArea',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='PoolArea',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['PoolArea'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='PoolArea',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:15.05992Z","iopub.execute_input":"2022-06-23T16:11:15.061081Z","iopub.status.idle":"2022-06-23T16:11:16.301072Z","shell.execute_reply.started":"2022-06-23T16:11:15.061033Z","shell.execute_reply":"2022-06-23T16:11:16.300072Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## PoolQC","metadata":{}},{"cell_type":"code","source":"print(df['PoolQC'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:16.303023Z","iopub.execute_input":"2022-06-23T16:11:16.303744Z","iopub.status.idle":"2022-06-23T16:11:16.311326Z","shell.execute_reply.started":"2022-06-23T16:11:16.303685Z","shell.execute_reply":"2022-06-23T16:11:16.310053Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['PoolQC'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='PoolQC',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['PoolQC'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['PoolQC']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('PoolQC')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:16.313395Z","iopub.execute_input":"2022-06-23T16:11:16.314375Z","iopub.status.idle":"2022-06-23T16:11:16.992379Z","shell.execute_reply.started":"2022-06-23T16:11:16.314329Z","shell.execute_reply":"2022-06-23T16:11:16.990788Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Fence","metadata":{}},{"cell_type":"code","source":"print(df['Fence'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:16.994875Z","iopub.execute_input":"2022-06-23T16:11:16.995315Z","iopub.status.idle":"2022-06-23T16:11:17.003305Z","shell.execute_reply.started":"2022-06-23T16:11:16.995265Z","shell.execute_reply":"2022-06-23T16:11:17.002025Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['Fence'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='Fence',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['Fence'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['Fence']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('Fence')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:17.067238Z","iopub.execute_input":"2022-06-23T16:11:17.067746Z","iopub.status.idle":"2022-06-23T16:11:17.978276Z","shell.execute_reply.started":"2022-06-23T16:11:17.067697Z","shell.execute_reply":"2022-06-23T16:11:17.976836Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## MiscFeature","metadata":{}},{"cell_type":"code","source":"print(df['MiscFeature'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:17.980719Z","iopub.execute_input":"2022-06-23T16:11:17.981109Z","iopub.status.idle":"2022-06-23T16:11:17.988061Z","shell.execute_reply.started":"2022-06-23T16:11:17.981075Z","shell.execute_reply":"2022-06-23T16:11:17.986669Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['MiscFeature'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='MiscFeature',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['MiscFeature'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['MiscFeature']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('MiscFeature')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:17.989985Z","iopub.execute_input":"2022-06-23T16:11:17.990405Z","iopub.status.idle":"2022-06-23T16:11:18.757308Z","shell.execute_reply.started":"2022-06-23T16:11:17.990347Z","shell.execute_reply":"2022-06-23T16:11:18.756288Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## MiscVal","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='MiscVal',y='SalePrice',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='MiscVal',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['MiscVal'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='MiscVal',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:18.759262Z","iopub.execute_input":"2022-06-23T16:11:18.760574Z","iopub.status.idle":"2022-06-23T16:11:19.723664Z","shell.execute_reply.started":"2022-06-23T16:11:18.760526Z","shell.execute_reply":"2022-06-23T16:11:19.721886Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## MoSold","metadata":{}},{"cell_type":"code","source":"print(df['MoSold'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:19.726144Z","iopub.execute_input":"2022-06-23T16:11:19.726545Z","iopub.status.idle":"2022-06-23T16:11:19.735381Z","shell.execute_reply.started":"2022-06-23T16:11:19.726509Z","shell.execute_reply":"2022-06-23T16:11:19.733606Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['MoSold'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='MoSold',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['MoSold'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['MoSold']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('MoSold')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:19.737249Z","iopub.execute_input":"2022-06-23T16:11:19.738036Z","iopub.status.idle":"2022-06-23T16:11:21.608332Z","shell.execute_reply.started":"2022-06-23T16:11:19.737994Z","shell.execute_reply":"2022-06-23T16:11:21.607212Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## YrSold","metadata":{}},{"cell_type":"code","source":"print(df['YrSold'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:21.610482Z","iopub.execute_input":"2022-06-23T16:11:21.611348Z","iopub.status.idle":"2022-06-23T16:11:21.61858Z","shell.execute_reply.started":"2022-06-23T16:11:21.611302Z","shell.execute_reply":"2022-06-23T16:11:21.617418Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['YrSold'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='YrSold',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['YrSold'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['YrSold']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('YrSold')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:21.620799Z","iopub.execute_input":"2022-06-23T16:11:21.621305Z","iopub.status.idle":"2022-06-23T16:11:24.011047Z","shell.execute_reply.started":"2022-06-23T16:11:21.621256Z","shell.execute_reply":"2022-06-23T16:11:24.009542Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## SaleType","metadata":{}},{"cell_type":"code","source":"print(df['SaleType'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:24.013245Z","iopub.execute_input":"2022-06-23T16:11:24.01379Z","iopub.status.idle":"2022-06-23T16:11:24.022534Z","shell.execute_reply.started":"2022-06-23T16:11:24.01374Z","shell.execute_reply":"2022-06-23T16:11:24.021218Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['SaleType'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='SaleType',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['SaleType'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['SaleType']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('SaleType')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:24.024921Z","iopub.execute_input":"2022-06-23T16:11:24.025929Z","iopub.status.idle":"2022-06-23T16:11:30.187265Z","shell.execute_reply.started":"2022-06-23T16:11:24.025872Z","shell.execute_reply":"2022-06-23T16:11:30.186044Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## SaleCondition","metadata":{}},{"cell_type":"code","source":"print(df['SaleCondition'].unique())","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:30.190067Z","iopub.execute_input":"2022-06-23T16:11:30.190449Z","iopub.status.idle":"2022-06-23T16:11:30.198481Z","shell.execute_reply.started":"2022-06-23T16:11:30.190415Z","shell.execute_reply":"2022-06-23T16:11:30.197147Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\nsns.histplot(data=df['SaleCondition'].dropna(),ax=ax1,color='pink')\nax1=plt.title('Histogram')\nax2 = plt.subplot(2,2,2)\nsns.swarmplot(x='SaleCondition',y='SalePrice',data=df,ax=ax2)\nax2=plt.title('Swarmplot')\nax3 = plt.subplot(2,2,3)\nsns.histplot(df['SaleCondition'].dropna(),kde=True,ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\ndf.groupby(['SaleCondition']).count().plot(kind='pie',y='Id',autopct='%1.0f%%',ax=ax4)\nax4=plt.xlabel('SaleCondition')\nax4=plt.title('Pie Chart')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:30.200478Z","iopub.execute_input":"2022-06-23T16:11:30.201073Z","iopub.status.idle":"2022-06-23T16:11:35.524697Z","shell.execute_reply.started":"2022-06-23T16:11:30.201022Z","shell.execute_reply":"2022-06-23T16:11:35.523721Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## SalePrice","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(16, 12))\nplt.rcParams['axes.facecolor'] = 'black'\nax1 = plt.subplot(2,2,1)\ndf.plot(kind='scatter',x='SalePrice',y='LotArea',color='pink',ax=ax1)\nax1=plt.title('Scatter Plot')\nax2 = plt.subplot(2,2,2)\nsns.regplot(x='SalePrice',y='LotArea',data=df,ax=ax2)\nax2=plt.title('Regression Plot')\nax3 = plt.subplot(2,2,3)\nsns.distplot(df['SalePrice'],kde=True,color='red',ax=ax3)\nax3=plt.title('Density Plot')\nax4 = plt.subplot(2,2,4)\nsns.boxplot(y='SalePrice',data=df,ax=ax4,palette='pastel')\nax4=plt.title('Box Plot')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-23T16:11:35.526145Z","iopub.execute_input":"2022-06-23T16:11:35.52674Z","iopub.status.idle":"2022-06-23T16:11:36.422489Z","shell.execute_reply.started":"2022-06-23T16:11:35.526704Z","shell.execute_reply":"2022-06-23T16:11:36.42121Z"},"trusted":true},"execution_count":null,"outputs":[]}]}