diff --git a/q01_plot/build.py b/q01_plot/build.py
index 0425964..12ee77d 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')
 
-# Write your code here :
+def plot(num_cols):
+    num_cols = ['LotArea', 'GarageArea', 'OpenPorchSF', 'SalePrice']
+    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()
+        else:
+            sns.distplot(data[num_cols[i]], hist=True, kde=False)
+
+
+
+
diff --git a/q02_plot/build.py b/q02_plot/build.py
index 67b4924..e0048b0 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,11 +1,26 @@
-# 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 plot(num_cols):
+    num_cols = ['LotArea', 'GarageArea', 'OpenPorchSF', 'SalePrice']
+    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 = dataframe)
+            plt.subplot(122)            
+            sns.boxplot(facet, num_cols[i+1],data = dataframe)
+            plt.tight_layout()
+            plt.show()
+
+    else:
+        sns.boxplot(facet, num_cols[i],data = dataframe)
+
+
 
 
-# Write your code here:
 
diff --git a/q03_regression_plot/build.py b/q03_regression_plot/build.py
index 2aaf8f6..6b7ea4c 100644
--- a/q03_regression_plot/build.py
+++ b/q03_regression_plot/build.py
@@ -1,15 +1,18 @@
-# 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')
+dataframe = pd.read_csv('data/house_prices_multivariate.csv')
+
+def regression_plot(v1, v2):
+    v1, v2 = 'GrLivArea', 'SalePrice'
+    sns.lmplot(v1, v2, data=dataframe, fit_reg=True)
+    plt.show();
+    
+
 
 
-# Write your code here
 
 
 
diff --git a/q04_cor/build.py b/q04_cor/build.py
index f3fae50..4df49ef 100644
--- a/q04_cor/build.py
+++ b/q04_cor/build.py
@@ -1,10 +1,17 @@
-# 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):
+    plt.figure(figsize=(12,8))
+    sns.heatmap(data.corr(), cmap='viridis')
+    plt.show();
+    
+
+
+
+
 
 
-# Write your code here