diff --git a/q01_plot_deliveries_by_team/build.py b/q01_plot_deliveries_by_team/build.py
index d1dab11..0a58135 100644
--- a/q01_plot_deliveries_by_team/build.py
+++ b/q01_plot_deliveries_by_team/build.py
@@ -1,3 +1,4 @@
+# %load q01_plot_deliveries_by_team/build.py
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
@@ -7,3 +8,13 @@
 
 
 # Solution
+def plot_deliveries_by_team():
+    ipl_df1 = ipl_df[['batting_team','delivery']].groupby(['batting_team']).count()
+    plt.bar(ipl_df1.index, ipl_df1['delivery'])
+    plt.title('Deliveries Played')
+    plt.xlabel('Teams')
+    plt.ylabel('Deliveries')
+    plt.show()
+    
+plot_deliveries_by_team()
+
diff --git a/q02_plot_matches_by_team/build.py b/q02_plot_matches_by_team/build.py
index ce53182..1c5f3af 100644
--- a/q02_plot_matches_by_team/build.py
+++ b/q02_plot_matches_by_team/build.py
@@ -1,3 +1,4 @@
+# %load q02_plot_matches_by_team/build.py
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
@@ -6,3 +7,13 @@
 
 
 # Solution
+def plot_matches_by_team():
+    ipl_df1 = ipl_df[['batting_team','match_code']].groupby(['batting_team']).nunique()
+    plt.bar(ipl_df1.index, ipl_df1['match_code'])
+    plt.title('Matches Played')
+    plt.xlabel('Teams')
+    plt.ylabel('Match')
+    plt.show()
+    
+plot_matches_by_team()
+
diff --git a/q03_plot_innings_runs_histogram/build.py b/q03_plot_innings_runs_histogram/build.py
index ce53182..78f379a 100644
--- a/q03_plot_innings_runs_histogram/build.py
+++ b/q03_plot_innings_runs_histogram/build.py
@@ -1,3 +1,4 @@
+# %load q03_plot_innings_runs_histogram/build.py
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
@@ -6,3 +7,14 @@
 
 
 # Solution
+def plot_innings_runs_histogram():
+    ipl_df1 = ipl_df[['match_code','inning','runs']].groupby(['match_code','inning']).sum()
+    fig, axes = plt.subplots(nrows=1, ncols=2)
+    plt.hist(ipl_df1['runs'])
+#     plt.title('Deliveries Played')
+#     plt.xlabel('Teams')
+#     plt.ylabel('Deliveries')
+    plt.show()
+    
+plot_innings_runs_histogram()
+
diff --git a/q04_plot_runs_by_balls/build.py b/q04_plot_runs_by_balls/build.py
index ce53182..3afbb74 100644
--- a/q04_plot_runs_by_balls/build.py
+++ b/q04_plot_runs_by_balls/build.py
@@ -1,3 +1,4 @@
+# %load q04_plot_runs_by_balls/build.py
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
@@ -6,3 +7,12 @@
 
 
 # Solution
+def plot_runs_by_balls():
+    ipl_df1 = ipl_df[['batsman','delivery']].groupby(['batsman']).count()
+    ipl_df2 = ipl_df[['batsman','runs']].groupby(['batsman']).sum()
+    ipl_data=ipl_df1.join(ipl_df2, how='inner')
+    plt.scatter(ipl_df1, ipl_df2)
+    plt.show()
+    
+plot_runs_by_balls()
+