Data cleaning and update for T015_T016_T017 ato dataset

item/hanna/Summary.md

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+# Instructions that was followed during cleaning of the dataset.
+
+## The following steps has been followed during importing and cleaning of the input dataset.
+
+```
+> Step 1) Load "ATO Workbook (TRANSPORT ACTIVITY & SERVICES (TAS))2023.xlsx" file and transform into DataFrame using Panda.
+
+>> Step 2) Load "master dataset.csv" file and transform into DataFrame using Panda, and create a new output DataFrame using
+        columuns extracted from the "master dataset.csv" file.
+
+> Step 3) Extract the following attributes such as: Vehicle Type, Variable, Unit, Unit_factor, Rule_id, Mode, Source,     
+        Service, Indicator and Sheet_name from the upper part of the DataFrame.
+
+>> Step 4) Extract the Economy Code and the value under each years within the series from the lower part of the DataFrame, as  
+        well as cleaning of unwanted columuns was done.
+
+Step 5) The country_region_mapping() function is used to generate Country and Region of each Economy Codes.
+
+Step 6) The values for each years has been transformed using a unit_factor that is obtained from the upper part of the 
+        DataFrame.
+
+Step 7) Finally, the above extracted datas from both upper and lower part of the DataFrame are updated into the output 
+        DataFrame and save the output as csv file.
+```
+