diff --git a/q01_plot/build.py b/q01_plot/build.py
index 0425964..f5e441f 100644
--- a/q01_plot/build.py
+++ b/q01_plot/build.py
@@ -1,8 +1,19 @@
+# %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')
+#%matplotlib inline
 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):
+    for i in range(0,len(num_cols)):
+        sns.distplot(data[num_cols[i]],kde=False)
+        plt.show()
+plot(num_cols)
+    
+
 
-# Write your code here :
diff --git a/q02_plot/build.py b/q02_plot/build.py
index 67b4924..55b8a13 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,11 +1,17 @@
+# %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')
 
 
 # Write your code here:
+num_cols=['LotArea','GarageArea','OpenPorchSF','SalePrice']
+def plot(num_cols):
+    for i in range(0,len(num_cols)):
+        sns.boxplot(y=data[num_cols[i]])
+        plt.show()
+plot(num_cols)
 
diff --git a/q03_regression_plot/build.py b/q03_regression_plot/build.py
index 2aaf8f6..c3712a1 100644
--- a/q03_regression_plot/build.py
+++ b/q03_regression_plot/build.py
@@ -1,15 +1,21 @@
+# %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')
 
 # Write your code here
+sp=data.SalePrice
+gla=data.GrLivArea
+def regression_plot(gla,sp):
+    sns.lmplot('GrLivArea','SalePrice',data=data)
+    plt.show()
+regression_plot(gla,sp)
+
 
 
 
diff --git a/q04_cor/build.py b/q04_cor/build.py
index f3fae50..bb47d90 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
-
-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
+def cor(data):
+    sns.heatmap(data.corr())
+    plt.show()
+cor(data)
+
+
+