diff --git a/q01_read_csv_data_to_df/build.py b/q01_read_csv_data_to_df/build.py
index 7af672f..da749f8 100644
--- a/q01_read_csv_data_to_df/build.py
+++ b/q01_read_csv_data_to_df/build.py
@@ -1,8 +1,16 @@
+# %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(path):
+    return pd.read_csv(path)
+
+read_csv_data_to_df(path)
+
+
+
 
diff --git a/q02_get_unique_values/build.py b/q02_get_unique_values/build.py
index a98550a..8eed1ce 100644
--- a/q02_get_unique_values/build.py
+++ b/q02_get_unique_values/build.py
@@ -1,6 +1,16 @@
+# %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.info()
 #Solution
+def get_unique_venues():
+    return ipl_df.venue.unique()
+
+get_unique_venues()
+
+
+
+
diff --git a/q03_get_run_counts/build.py b/q03_get_run_counts/build.py
index 07a05ac..c5c3d82 100644
--- a/q03_get_run_counts/build.py
+++ b/q03_get_run_counts/build.py
@@ -1,8 +1,18 @@
+# %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')
 
 # Solution
+def get_run_counts():
+    return pd.Series(ipl_df['runs'].value_counts())
+
+get_run_counts()
+    
+
+
+
 
diff --git a/q04_get_match_specific_df/build.py b/q04_get_match_specific_df/build.py
index 37ec96a..d538624 100644
--- a/q04_get_match_specific_df/build.py
+++ b/q04_get_match_specific_df/build.py
@@ -1,7 +1,16 @@
+# %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')
 
 # Solution
+def get_match_specific_df(match_code):
+    return ipl_df[ipl_df.match_code == match_code]
+
+#Call to the function
+get_match_specific_df(392203) 
+
+
+
 
diff --git a/q05_create_bowler_filter/build.py b/q05_create_bowler_filter/build.py
index 5c15aaa..22299bd 100644
--- a/q05_create_bowler_filter/build.py
+++ b/q05_create_bowler_filter/build.py
@@ -1,7 +1,17 @@
+# %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
 
 # 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.head()
+ipl_df.tail()
 
 # Solution
+def create_bowler_filter(bowler):
+    return ipl_df.bowler == bowler
+
+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..487a765 100644
--- a/q06_get_match_innings_runs/build.py
+++ b/q06_get_match_innings_runs/build.py
@@ -1,10 +1,21 @@
+# %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 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')
+
 
 # Solution
+def get_match_innings_runs():
+    return pd.DataFrame(ipl_df.groupby(['match_code','inning'])['runs'].sum())
+
+
+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..242b48d 100644
--- a/q07_get_run_counts_by_match/build.py
+++ b/q07_get_run_counts_by_match/build.py
@@ -1,7 +1,18 @@
+# %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 pandas as pd
+
 # 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')
 
 # Solution
+def get_runs_counts_by_match():
+    return pd.pivot_table(ipl_df, values = 'batsman', index='match_code', columns = ['runs'], aggfunc='count')
+    #value synbolises the runs scored by batsman
+
+#Call to the function
+get_runs_counts_by_match()
+
+