diff --git a/q01_read_csv_data_to_df/build.py b/q01_read_csv_data_to_df/build.py
index 7af672f..fbcffda 100644
--- a/q01_read_csv_data_to_df/build.py
+++ b/q01_read_csv_data_to_df/build.py
@@ -1,8 +1,13 @@
+# %load q01_read_csv_data_to_df/build.py
 # Default Imports
 import pandas as pd
 
 # Path has been given to you already to use in function.
-path = "data/ipl_dataset.csv"
+path = 'data/ipl_dataset.csv'
 
 # Solution
+def read_csv_data_to_df(p):
+    a=pd.read_csv(p)
+    return a
+read_csv_data_to_df(path)
 
diff --git a/q02_get_unique_values/build.py b/q02_get_unique_values/build.py
index a98550a..6cc1bda 100644
--- a/q02_get_unique_values/build.py
+++ b/q02_get_unique_values/build.py
@@ -1,6 +1,13 @@
+# %load q02_get_unique_values/build.py
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been given the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('data/ipl_dataset.csv')
+ipl_df
 #Solution
+def get_unique_venues():
+    a=ipl_df['venue'].unique()
+    return a
+get_unique_venues()
+    
+
diff --git a/q03_get_run_counts/build.py b/q03_get_run_counts/build.py
index 07a05ac..9e54f48 100644
--- a/q03_get_run_counts/build.py
+++ b/q03_get_run_counts/build.py
@@ -1,8 +1,14 @@
+# %load q03_get_run_counts/build.py
 # Default Imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
-
+import pandas as pd
 # You have been given the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
+ipl_df
+l=[]
 # Solution
+def get_run_counts():
+    l=ipl_df['runs'].value_counts()
+    return pd.Series(l)
+get_run_counts()
 
diff --git a/q04_get_match_specific_df/build.py b/q04_get_match_specific_df/build.py
index 37ec96a..53062ad 100644
--- a/q04_get_match_specific_df/build.py
+++ b/q04_get_match_specific_df/build.py
@@ -1,7 +1,13 @@
+# %load q04_get_match_specific_df/build.py
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
+ipl_df
+(ipl_df['match_code'])
 # Solution
+def get_match_specific_df(mc):
+    df=ipl_df[(ipl_df['match_code']==mc)]
+    return df
+get_match_specific_df(598057)
 
diff --git a/q05_create_bowler_filter/build.py b/q05_create_bowler_filter/build.py
index 5c15aaa..6865b59 100644
--- a/q05_create_bowler_filter/build.py
+++ b/q05_create_bowler_filter/build.py
@@ -1,7 +1,13 @@
+# %load q05_create_bowler_filter/build.py
 # Default imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
-
+import pandas as pd
 # You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
+ipl_df
 # Solution
+def create_bowler_filter(b):
+    a=pd.Series(ipl_df['bowler']==b)
+    return a
+create_bowler_filter('I Sharma')
+
diff --git a/q06_get_match_innings_runs/build.py b/q06_get_match_innings_runs/build.py
index d938fc2..6fa6620 100644
--- a/q06_get_match_innings_runs/build.py
+++ b/q06_get_match_innings_runs/build.py
@@ -1,10 +1,17 @@
+# %load q06_get_match_innings_runs/build.py
 # Default Imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
-
+import numpy as np
 # You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('data/ipl_dataset.csv')
+ipl_df
 # Solution
+def get_match_innings_runs():
+    a=ipl_df.groupby(by=['match_code','inning']).agg(np.sum)
+    return a[['runs']]
+get_match_innings_runs()
+    
+
 
 
 
diff --git a/q07_get_run_counts_by_match/build.py b/q07_get_run_counts_by_match/build.py
index a18e534..8735e29 100644
--- a/q07_get_run_counts_by_match/build.py
+++ b/q07_get_run_counts_by_match/build.py
@@ -1,7 +1,13 @@
+# %load q07_get_run_counts_by_match/build.py
 # Default Imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
-
+import numpy as np
 # You have been give the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
+r=ipl_df['runs'].unique()
 # Solution
+def get_runs_counts_by_match():
+    a=ipl_df.pivot_table(index='match_code',columns='runs',aggfunc='count')
+    return a['batsman']
+get_runs_counts_by_match()
+