diff --git a/q01_plot_deliveries_by_team/build.py b/q01_plot_deliveries_by_team/build.py
index d1dab11..060f485 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 +8,10 @@
 
 
 # Solution
+def plot_deliveries_by_team():
+    delieveries=ipl_df[['batting_team','delivery']].groupby('batting_team').count().sort_values(by='delivery',ascending=False)
+    delieveries.plot(kind='bar')
+    plt.show()
+    #r
+
+
diff --git a/q02_plot_matches_by_team/build.py b/q02_plot_matches_by_team/build.py
index ce53182..cba1be2 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 +7,10 @@
 
 
 # Solution
+def plot_matches_by_team():
+    match_count_per_teams=ipl_df[['batting_team','match_code']].groupby('batting_team').aggregate('nunique')
+    Series_of_matches=np.arange(len(match_count_per_teams.index))
+    plt.bar('bbatting_team',match_count_per_teams['match_code'])
+plot_matches_by_team()
+
+
diff --git a/q03_plot_innings_runs_histogram/build.py b/q03_plot_innings_runs_histogram/build.py
index ce53182..e1b2582 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 +7,19 @@
 
 
 # Solution
+def plot_innings_runs_histogram():
+    group_innings = ipl_df.groupby(['match_code', 'inning']).sum().reset_index()
+    group_innings.head()
+    inning1_df = group_innings[group_innings['inning'] == 1]
+    inning2_df = group_innings[group_innings['inning'] == 2]
+
+
+    fig, axes = plt.subplots(1, 2)
+    
+    axes[0].hist(inning1_df['runs'])
+    axes[1].hist(inning2_df['runs'])
+    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..b9370ab 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 +7,10 @@
 
 
 # Solution
+def plot_runs_by_balls():
+    runs_per_delivery=ipl_df[['runs','delivery']].groupby('delivery').sum()
+    plt.scatter(runs_per_delivery.index,runs_per_delivery['runs'])
+    plt.show()
+
+
+