diff --git a/q01_plot_deliveries_by_team/build.py b/q01_plot_deliveries_by_team/build.py
index d1dab11..32c3454 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 +8,18 @@
 
 
 # Solution
+def plot_deliveries_by_team():
+
+    ipl_df = pd.DataFrame(ipl_df)
+    ipl_df['batting_team'].value_counts('delivery').plot(kind='bar')
+    plt.show()
+
+
+
+
+# plt.xlabel('Batting team',size = 20)
+# plt.ylabel('Delivery',size = 20)
+
+
+
+
diff --git a/q02_plot_matches_by_team/build.py b/q02_plot_matches_by_team/build.py
index ce53182..4213e4a 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 +7,11 @@
 
 
 # Solution
+x = ipl_df['batting_team'].value_counts()
+y = ipl_df['winner'].unique()
+
+plt.bar(x,y)
+
+
+
+
diff --git a/q03_plot_innings_runs_histogram/build.py b/q03_plot_innings_runs_histogram/build.py
index ce53182..455963c 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 +7,16 @@
 
 
 # Solution
+def plot_innings_runs_histogram():
+
+    inning_wise_runs = ipl_df.groupby(['match_code', 'inning'])['runs'].sum()
+    first_inning_runs = inning_wise_runs[:,1]
+    second_inning_runs = inning_wise_runs[:,2]
+
+    fig, axes = plt.subplots(1, 2, sharex=True, sharey=True)
+    axes[0].hist(first_inning_runs)
+    axes[1].hist(second_inning_runs)
+
+
+
+
diff --git a/q04_plot_runs_by_balls/build.py b/q04_plot_runs_by_balls/build.py
index ce53182..5414093 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():
+    x = ipl_df['delivery']
+    y = ipl_df['runs']
+    plt.scatter(x,y)
+    plt.show
+
+