diff --git a/q01_plot/build.py b/q01_plot/build.py
index 0425964..5a3cae1 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 :
+# Write your code here:
+def plot(num_cols):
+    for i in range(len(num_cols)):
+        sns.distplot(data[num_cols[i]])
+        plt.show()
+    
+
+columns = ['LotArea' ,'GarageArea', 'OpenPorchSF','SalePrice']
+
+
+
+plot(columns)
+
+
diff --git a/q02_plot/build.py b/q02_plot/build.py
index 67b4924..b676070 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
+plt.switch_backend('agg')
+
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
 
 
 # Write your code here:
+def plot(num_cols):
+    for i in range(len(num_cols)):
+        sns.boxplot(data[num_cols[i]])
+        plt.show()
+columns = ['LotArea','GarageArea','OpenPorchSF','SalePrice']
+
+
+
+plot(columns)
+
+
 
diff --git a/q03_regression_plot/build.py b/q03_regression_plot/build.py
index 2aaf8f6..6c3c61d 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 +7,25 @@
 
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
 
 
 # Write your code here
+def regression_plot(variable1, variable2):
+    
+    return sns.regplot(data[variable1], data[variable2])
 
 
 
+va1 = 'GrLivArea'
+va2 = 'SalePrice'
+
+
+
+
+
+
+
+regression_plot(va1,va2)
+
+
 
diff --git a/q04_cor/build.py b/q04_cor/build.py
index f3fae50..315f5df 100644
--- a/q04_cor/build.py
+++ b/q04_cor/build.py
@@ -1,10 +1,24 @@
+# %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):
+    
+    return sns.heatmap(data.corr())
+
+
+
+
+
+
+cor(data)
+
+
+