diff --git a/q01_plot/build.py b/q01_plot/build.py
index 0425964..631427a 100644
--- a/q01_plot/build.py
+++ b/q01_plot/build.py
@@ -1,8 +1,28 @@
+# %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 :
+# Write your code here:
+def plot(num_cols):
+
+#     Using Seaborn to plot hist of the individual columns in a loop
+    for i in range(0,len(num_cols), 2):
+        if len(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()
+        else:
+            sns.distplot(data[num_cols[i]], kde=False)
+
+    return None
+
+
+
diff --git a/q02_plot/build.py b/q02_plot/build.py
index 67b4924..bb34426 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,11 +1,26 @@
+# %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')
 
 
 # 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.boxplot(data[num_cols[i]])
+            plt.subplot(122)
+            sns.boxplot(data[num_cols[i+1]])
+            plt.tight_layout()
+            # plt.show()
+        else:
+            sns.boxtplot(data[num_cols[i]])
+    return None
+
+
 
diff --git a/q03_regression_plot/build.py b/q03_regression_plot/build.py
index 2aaf8f6..a077e88 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 +7,15 @@
 
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
+
 plt.switch_backend('agg')
 
 
-# Write your code here
 
+def regression_plot(a,b):
+    sns.lmplot(a, b, data = data, fit_reg=True)
+
+regression_plot('GrLivArea','SalePrice')
 
 
 
diff --git a/q04_cor/build.py b/q04_cor/build.py
index f3fae50..d948a8b 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')
 
 
 # Write your code here
+def cor(data):
+    sns.heatmap(data.corr(), cmap='viridis')
+    return None
+
+
+
+