diff --git a/q01_plot/build.py b/q01_plot/build.py
index 0425964..d559348 100644
--- a/q01_plot/build.py
+++ b/q01_plot/build.py
@@ -1,8 +1,27 @@
+# %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')
+num_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]], kde=False)
+            plt.subplot(122)            
+            sns.distplot(data[num_cols[i+1]], kde=False)
+            plt.tight_layout()
+            plt.show()
+            return(plt)
+        else:
+            sns.distplot(dataframe[num_cols[i]], kde=False)
+
+plot(num_cols)
+
 
-# Write your code here :
diff --git a/q02_plot/build.py b/q02_plot/build.py
index 67b4924..82a1fc8 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,11 +1,22 @@
+# %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')
+num_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.boxplot(x=data[num_cols[i]])
+                plt.subplot(122)            
+                sns.boxplot(x=data[num_cols[i+1]])
+                plt.show()
+    return plot(plt)
 
 
-# Write your code here:
 
diff --git a/q03_regression_plot/build.py b/q03_regression_plot/build.py
index 2aaf8f6..d3e3329 100644
--- a/q03_regression_plot/build.py
+++ b/q03_regression_plot/build.py
@@ -1,3 +1,4 @@
+# %load q03_regression_plot/build.py
 # Default imports
 
 import pandas as pd
@@ -6,11 +7,11 @@
 
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
-
-
-# Write your code here
 
+def regression_plot(var1,var2):
+    sns.lmplot('GrLivArea','SalePrice', data=data, fit_reg=True)
+    plt.show()
+    return(plt)
 
 
 
diff --git a/q04_cor/build.py b/q04_cor/build.py
index f3fae50..af1cc7c 100644
--- a/q04_cor/build.py
+++ b/q04_cor/build.py
@@ -1,10 +1,16 @@
+# %load q04_cor/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')
+def cor(data):
+    sns.pairplot(data)
+    plt.show()
+    return(plt)
+
+
+
 
 
-# Write your code here