diff --git a/q01_plot_deliveries_by_team/build.py b/q01_plot_deliveries_by_team/build.py
index d1dab11..fe0b801 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
@@ -5,5 +6,17 @@
 
 ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
 
-
 # Solution
+def plot_deliveries_by_team():
+    
+    newData = ipl_df.groupby(['batting_team']).agg('count')
+    x = newData.index.values
+    y = newData['delivery'].values
+    plt.barh(x, y)
+    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..be41e1b 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 +7,15 @@
 
 
 # Solution
+def plot_matches_by_team():
+    newData = ipl_df.groupby(['batting_team']).agg('nunique')
+    x = newData.index.values
+    y = newData['match_code'].values
+    plt.barh(x, y)
+    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..b23de8f 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():
+    
+    newData = ipl_df.groupby(['match_code', 'inning']).agg('sum')
+    x = newData['runs'].values
+    num_bins = 50
+    
+    plt.hist(x, num_bins, facecolor='blue', alpha=0.5)
+    
+plot_innings_runs_histogram()
+
+