diff --git a/.gitignore b/.gitignore
index 5d381cc..b390322 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,5 @@
+*.pkl
+*.csv
 # ---> Python
 # Byte-compiled / optimized / DLL files
 __pycache__/
diff --git a/data-view.py b/data-view.py
new file mode 100644
index 0000000..c38daee
--- /dev/null
+++ b/data-view.py
@@ -0,0 +1,6 @@
+import pandas as pd
+from datetime import datetime
+
+data_dict = pd.read_pickle("saved_data_dict.pkl")
+data_df = pd.DataFrame(data_dict)
+data_df.T.to_csv("data_df.csv")
diff --git a/data.py b/data.py
new file mode 100644
index 0000000..2308ea5
--- /dev/null
+++ b/data.py
@@ -0,0 +1,60 @@
+import requests
+import ast
+from datetime import datetime
+from time import sleep
+import pickle
+
+data_url = "http://192.168.1.221/get_livedata_info"
+
+data_response = requests.get(data_url)
+
+data_dict = ast.literal_eval(data_response.content.decode('utf-8'))
+
+den_dict = data_dict['wh25'][0]
+outdoor_dict = data_dict['ch_aisle'][0]
+lroom_dict = data_dict['ch_aisle'][1]
+roffice_dict = data_dict['ch_aisle'][2]
+toffice_dict = data_dict['ch_aisle'][3]
+broom_dict = data_dict['ch_aisle'][4]
+lightning_dict = data_dict['lightning'][0]
+# print(den_dict.keys())
+# print(outdoor_dict.keys())
+# print(lroom_dict.keys())
+# print(roffice_dict.keys())
+# print(toffice_dict.keys())
+# print(broom_dict.keys())
+# print(lightning_dict.keys())
+try:
+    with open('saved_data_dict.pkl', 'rb') as f:
+        data_dict = pickle.load(f)
+except:
+    data_dict = {}
+
+datum_dict = {}
+datum_dict['den_temp'] = den_dict['intemp']
+datum_dict['den_humi'] = den_dict['inhumi']
+datum_dict['den_pabs'] = den_dict['abs']
+datum_dict['den_prel'] = den_dict['rel']
+datum_dict['lroom_temp'] = lroom_dict['temp']
+datum_dict['lroom_humi'] = lroom_dict['humidity']
+datum_dict['lroom_batt'] = lroom_dict['battery']
+datum_dict['roffice_temp'] = roffice_dict['temp']
+datum_dict['roffice_humi'] = roffice_dict['humidity']
+datum_dict['roffice_batt'] = roffice_dict['battery']
+datum_dict['toffice_temp'] = toffice_dict['temp']
+datum_dict['toffice_humi'] = toffice_dict['humidity']
+datum_dict['toffice_batt'] = toffice_dict['battery']
+datum_dict['broom_temp'] = broom_dict['temp']
+datum_dict['broom_humi'] = broom_dict['humidity']
+datum_dict['broom_batt'] = broom_dict['battery']
+datum_dict['outdoor_temp'] = outdoor_dict['temp']
+datum_dict['outdoor_humi'] = outdoor_dict['humidity']
+datum_dict['outdoor_batt'] = outdoor_dict['battery']
+datum_dict['lghtng_dist'] = lightning_dict['distance']
+datum_dict['lghtng_date'] = lightning_dict['date']
+datum_dict['lghtng_time'] = lightning_dict['timestamp']
+datum_dict['lghtng_scnt'] = lightning_dict['count']
+datum_dict['lghtng_batt'] = lightning_dict['battery']
+data_dict[datetime.now().strftime('%Y%m%d-%H%M%S')] = datum_dict
+with open('saved_data_dict.pkl', 'wb') as f:
+    pickle.dump(data_dict, f)