diff --git a/README.md b/README.md
index bf53bd5a6e429560b6cfb24ba5e235a41597c712..e597a9ccb68128031dbf2305356977caa40ebe65 100644
--- a/README.md
+++ b/README.md
@@ -65,4 +65,11 @@ This layout appears user-friendly and efficient for retrieving passenger detials
 
 # Data 
 
-**Data Source** - We have use [Airline Dataset](https://www.kaggle.com/datasets/iamsouravbanerjee/airline-dataset/data?select=Airline+Dataset.csv)
+**Data Source** - We have use [Airline Dataset](https://www.kaggle.com/datasets/iamsouravbanerjee/airline-dataset/data?select=Airline+Dataset.csv) from Kaggle.
+
+**Data Handling** - 
+1. _Outlier Detection_ - The method that can handle both numerical and categorical data effictibely is Isolation Forest algorithm.
+2. _Fake Data_ - Added 25% realistic data balancing across target variable.
+
+There is more details explain about data in Wiki.
+