diff --git a/q01_plot/build.py b/q01_plot/build.py
index 0425964..51e7ebc 100644
--- a/q01_plot/build.py
+++ b/q01_plot/build.py
@@ -1,8 +1,24 @@
+# %load q01_plot/build.py
+# Default imports
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pandas as pd
+plt.switch_backend('agg')
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
 
-# Write your code here :
+num_cols = ['LotArea', 'GarageArea', 'OpenPorchSF', 'SalePrice']
+# Write your code here:
+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=False)
+            plt.subplot(122)            
+            sns.distplot(data[num_cols[i+1]], hist=True, kde=False)
+            plt.tight_layout()
+            plt.show()
+
+plot(num_cols)
+
diff --git a/q02_plot/build.py b/q02_plot/build.py
index 67b4924..2a147d1 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,11 +1,24 @@
+# %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')
 
+data = pd.read_csv('data/house_prices_multivariate.csv')
+num_cols = ['LotArea', 'GarageArea', 'OpenPorchSF', 'SalePrice']
 
 # Write your code here:
+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 = data)
+            plt.subplot(122)            
+            sns.boxplot(facet, num_cols[i+1],data = data)
+            plt.tight_layout()
+            plt.show()
+plot(num_cols)
 
diff --git a/q03_regression_plot/build.py b/q03_regression_plot/build.py
index 2aaf8f6..bf10cb8 100644
--- a/q03_regression_plot/build.py
+++ b/q03_regression_plot/build.py
@@ -1,16 +1,18 @@
+# %load q03_regression_plot/build.py
 # Default imports
 
 import pandas as pd
 import seaborn as sns
 import matplotlib.pyplot as plt
-
-
-data = pd.read_csv('data/house_prices_multivariate.csv')
 plt.switch_backend('agg')
 
+data = pd.read_csv('data/house_prices_multivariate.csv')
+x = data['GrLivArea']
+y = data['SalePrice']
 
 # Write your code here
-
-
-
+def regression_plot(x,y):
+    sns.lmplot('GrLivArea', 'SalePrice', data=data, fit_reg=True)
+    
+regression_plot(x,y)
 
diff --git a/q04_cor/build.py b/q04_cor/build.py
index f3fae50..b9e56b6 100644
--- a/q04_cor/build.py
+++ b/q04_cor/build.py
@@ -1,10 +1,17 @@
+# %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(data):
+    plt.figure(figsize=(12,8))
+    sns.heatmap(data.corr(), cmap='viridis')
+
+cor(data)
+