diff --git a/scripts/combine21.py b/scripts/combine21.py
index 0e0085f..8073c22 100644
--- a/scripts/combine21.py
+++ b/scripts/combine21.py
@@ -8,14 +8,43 @@ path_delim = '/'
 df1 = pd.read_excel(curdir + path_delim + "data/users_13_10_2023_23_10.xlsx", sheet_name="Sheet1")
 df2 = pd.read_excel(curdir + path_delim + "data/HC Data_results.xlsx", sheet_name="data")
 
-df2.plot(kind = 'scatter', x = 'testTime', y = 'calculatedRatio')
-plt.show()
+df2 = df2.sort_values('testTime')
+
+# df2.plot(kind = 'scatter', x = 'testTime', y = 'calculatedRatio')
+# plt.show()
+
+
+# df2.plot(kind = 'scatter', x = 'testTime', y = 'led1Buffer')
+# plt.show()
+
+# df2.plot(kind = 'scatter', x = 'testTime', y = 'led2Buffer')
+# plt.show()
+
+# df2.plot(kind = 'scatter', x = 'testTime', y = 'led1Sample')
+# plt.show()
+
+# df2.plot(kind = 'scatter', x = 'testTime', y = 'led2Sample')
+# plt.show()
 
 df = df1.merge(df2, on="_id", how="outer")
 print(df.columns)
 # # df = pd.concat([df1, df3], ignore_index=True)
 df['Age'] = 2023 - df['birthYear']
 
+# df['Age'].hist()
+# plt.show()
+
+# df['led2Sample'].plot.box()
+# plt.show()
+
+# df['led2Sample'].plot.kde()
+# plt.show()
+
+# df['led2Sample'].plot.density()
+# plt.show()
+
+df['category'].plot.pie()
+plt.show()
 
 df = df[["_id", "name_x", "abhaId", "aadharId", "Age", "gender", "category", "maritalStatus", "house", "district", "state", "pinCode", "phoneNumber", "classificationResult", "bloodGroup", "createdAt", "caste"]]
 print(df)