diff --git a/q01_plot_deliveries_by_team/build.py b/q01_plot_deliveries_by_team/build.py
index dd835d0..2075e40 100644
--- a/q01_plot_deliveries_by_team/build.py
+++ b/q01_plot_deliveries_by_team/build.py
@@ -1,8 +1,19 @@
-import pandas as pd
+# %load q01_plot_deliveries_by_team/build.py
+from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 import numpy as np
 import matplotlib.pyplot as plt
+import pandas as pd
+from pandas import Series, DataFrame
+import matplotlib.pyplot as plt
 
 ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
 
+def plot_deliveries_by_team():
+
+    df= DataFrame(ipl_df[['batting_team','delivery']].groupby(['batting_team'])['delivery'].count())
+    df.columns=['deliveries']
+    df.index.name=['batting_team']
+    df.plot(kind='bar')
+    plt.show()
 
-# Solution
+plot_deliveries_by_team()
diff --git a/q02_plot_matches_by_team/build.py b/q02_plot_matches_by_team/build.py
index dd835d0..70f013d 100644
--- a/q02_plot_matches_by_team/build.py
+++ b/q02_plot_matches_by_team/build.py
@@ -1,8 +1,16 @@
-import pandas as pd
+# %load q02_plot_matches_by_team/build.py
+from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 import numpy as np
 import matplotlib.pyplot as plt
+import pandas as pd
+from pandas import Series, DataFrame
+import matplotlib.pyplot as plt
 
-ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
+def plot_matches_by_team():
+    ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
+    df=DataFrame(ipl_df[['batting_team','match_code']].groupby(['batting_team'])['match_code'].nunique())
+    df.plot(kind='bar')
+    plt.show()
 
 
-# Solution
+plot_matches_by_team()
diff --git a/q03_plot_innings_runs_histogram/build.py b/q03_plot_innings_runs_histogram/build.py
index dd835d0..7eea2ae 100644
--- a/q03_plot_innings_runs_histogram/build.py
+++ b/q03_plot_innings_runs_histogram/build.py
@@ -1,8 +1,16 @@
-import pandas as pd
+# %load q03_plot_innings_runs_histogram/build.py
+from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 import numpy as np
 import matplotlib.pyplot as plt
+import pandas as pd
+from pandas import Series, DataFrame
+import matplotlib.pyplot as plt
 
-ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
-
+def plot_innings_runs_histogram():
+    ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
+    df=DataFrame(ipl_df[['batting_team', 'inning','runs']].groupby(['batting_team','inning'])['runs'].sum())
+    piv_tab = df.pivot_table(index='batting_team',columns='inning', values='runs')
+    piv_tab.plot(kind='bar',stacked=True)
+    plt.show()
 
-# Solution
+plot_innings_runs_histogram()
diff --git a/q04_plot_runs_by_balls/build.py b/q04_plot_runs_by_balls/build.py
index dd835d0..ac6fc53 100644
--- a/q04_plot_runs_by_balls/build.py
+++ b/q04_plot_runs_by_balls/build.py
@@ -1,8 +1,19 @@
-import pandas as pd
+# %load q04_plot_runs_by_balls/build.py
+from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 import numpy as np
 import matplotlib.pyplot as plt
+import pandas as pd
+from pandas import Series, DataFrame
+import matplotlib.pyplot as plt
 
-ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
-
+def plot_runs_by_balls():
+    ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
+    df1 = DataFrame(ipl_df[['batsman','delivery','match_code']].groupby(['batsman','match_code'])['delivery'].count())
+    df2 = DataFrame(ipl_df[['batsman','runs','match_code']].groupby(['batsman','match_code'])['runs'].sum())
+    merg_df=[df1,df2]
+    final_df = pd.concat(merg_df,axis=1)
+    one_bats = final_df.loc[['A Ashish Reddy'],:]
+    one_bats.plot.scatter('delivery','runs')
+    plt.show()
 
-# Solution
+plot_runs_by_balls()