diff --git a/q01_read_csv_data_to_df/build.py b/q01_read_csv_data_to_df/build.py
index 7af672f..0d78f8c 100644
--- a/q01_read_csv_data_to_df/build.py
+++ b/q01_read_csv_data_to_df/build.py
@@ -1,8 +1,15 @@
+# %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)
+
+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..c30e318 100644
--- a/q02_get_unique_values/build.py
+++ b/q02_get_unique_values/build.py
@@ -1,6 +1,12 @@
+# %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')
 
 #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..366cbf1 100644
--- a/q03_get_run_counts/build.py
+++ b/q03_get_run_counts/build.py
@@ -1,8 +1,15 @@
+# %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
 
 # 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 ipl_df.runs.value_counts()
+
+
+
+
 
diff --git a/q04_get_match_specific_df/build.py b/q04_get_match_specific_df/build.py
index 37ec96a..75312af 100644
--- a/q04_get_match_specific_df/build.py
+++ b/q04_get_match_specific_df/build.py
@@ -1,7 +1,20 @@
+# %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(some_value):
+    df=ipl_df
+    return df.loc[df['match_code'] == some_value]
+
+
+
+df=ipl_df
+some_value=598057
+df
+df.loc[df['match_code'] == some_value]
+
+
 
diff --git a/q05_create_bowler_filter/build.py b/q05_create_bowler_filter/build.py
index 5c15aaa..60bf3d4 100644
--- a/q05_create_bowler_filter/build.py
+++ b/q05_create_bowler_filter/build.py
@@ -1,7 +1,25 @@
+# %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')
 
 # Solution
+def create_bowler_filter(some_value):
+    df=ipl_df
+    l=df['bowler'] == some_value
+    return l
+df=ipl_df
+some_value='I Sharma'
+l=[df['bowler'] == some_value]
+
+import pandas as pd
+s=pd.Series([l])
+s.head()
+pd.Series([l]).cumsum()
+l=[df['bowler'] == 'I Sharma']
+
+pd.Series(l)
+
+
diff --git a/q06_get_match_innings_runs/build.py b/q06_get_match_innings_runs/build.py
index d938fc2..2763ee6 100644
--- a/q06_get_match_innings_runs/build.py
+++ b/q06_get_match_innings_runs/build.py
@@ -1,11 +1,28 @@
+# %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
 
 # 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():
+    df = ipl_df
+    return df.loc[:, ['runs']]
+    #l=df.groupby(['match_code','inning','runs'])
+    #return l
 
+    
 
 
 
+df=ipl_df
+df.loc[:, ['runs','match_code', 'inning']]
+
+d=get_match_innings_runs()
+d.sum()
+type(d.sum())
+l=df.groupby(['match_code','inning','runs'])
+l.sum()
+
+
diff --git a/q07_get_run_counts_by_match/build.py b/q07_get_run_counts_by_match/build.py
index a18e534..672a508 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
+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')
 
 # Solution
+def get_runs_counts_by_match():
+    table = pd.pivot_table(ipl_df, index=['match_code'],values=['runs'],columns=['total'],aggfunc=np.sum,fill_value=0)
+    return table.iloc[:,:-1]
+
+
+
+
+
+