diff --git a/q01_plot/build.py b/q01_plot/build.py
index 0425964..75121a2 100644
--- a/q01_plot/build.py
+++ b/q01_plot/build.py
@@ -1,8 +1,25 @@
+# %load q01_plot/build.py
+# Default imports
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pandas as pd
-
-data = pd.read_csv('data/house_prices_multivariate.csv')
 plt.switch_backend('agg')
+data = pd.read_csv('data/house_prices_multivariate.csv')
+
+# Write your code here:
+plot_cols = ['LotArea' ,'GarageArea', 'OpenPorchSF','SalePrice']
+
+def plot(num_cols):
+    
+    for i in range(0,len(num_cols),2):
+        if len(num_cols) > i+1:
+            plt.figure(figsize=(10,4))
+            plt.subplot(121)
+            sns.distplot(data[num_cols[i]], hist=True, kde=True)
+            plt.subplot(122)            
+            sns.distplot(data[num_cols[i+1]], hist=True, kde=True)
+            plt.tight_layout()
+            plt.show()
+plot(plot_cols)
+
 
-# Write your code here :
diff --git a/q02_plot/build.py b/q02_plot/build.py
index 67b4924..f6c8f8e 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,11 +1,29 @@
+# %load q02_plot/build.py
 # Default imports
 import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
 
-data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
-
+df = pd.read_csv('data/house_prices_multivariate.csv')
+#plt.switch_backend('agg')
 
 # Write your code here:
 
+plot_cols = ['LotArea', 'GarageArea', 'OpenPorchSF', 'SalePrice']
+
+def plot(num_cols):
+    facet = None
+    for i in range(0,len(num_cols),2):
+        if len(num_cols) > i+1:
+            plt.figure(figsize=(10,4))
+            plt.subplot(121)
+            sns.boxplot(facet, num_cols[i],data = df)
+            plt.subplot(122)            
+            sns.boxplot(facet, num_cols[i+1],data = df)
+            plt.tight_layout()
+            plt.show()
+
+
+plot(plot_cols)
+
+
diff --git a/q03_regression_plot/build.py b/q03_regression_plot/build.py
index 2aaf8f6..960478a 100644
--- a/q03_regression_plot/build.py
+++ b/q03_regression_plot/build.py
@@ -1,16 +1,20 @@
+# %load q03_regression_plot/build.py
 # Default imports
 
 import pandas as pd
 import seaborn as sns
 import matplotlib.pyplot as plt
+# plt.switch_backend('agg')
 
-
-data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
+df = pd.read_csv('data/house_prices_multivariate.csv')
 
 
 # Write your code here
+def regression_plot(feature1,feature2):
+    sns.jointplot(feature1, feature2, data=df, kind='reg')
+    plt.show()
+    
 
-
+regression_plot('GrLivArea','SalePrice')
 
 
diff --git a/q04_cor/build.py b/q04_cor/build.py
index f3fae50..04b4f82 100644
--- a/q04_cor/build.py
+++ b/q04_cor/build.py
@@ -1,10 +1,21 @@
+# %load q04_cor/build.py
 # Default imports
 import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
+plt.switch_backend('agg')
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
 
 
 # Write your code here
+def cor(df):
+    plt.figure(figsize = (8,5))
+    sns.heatmap(df.corr(),cmap='viridis')
+    plt.show()
+
+
+
+cor(data)
+
+