*Context* --------- I am very much glad to consider this data set as the data consistency and availability of the value in all the rows and columns Easy to analyse. *Content* ------- Iris flower is considered for EDA 3 different types of Iris flower like Setosa,Verginica,Versicolor is analysed based on 4 features. The 4 features of Iris flower includes: 1. Sepal Length 2. Sepal Width 3. Petal Length 4. Petal Width The flower analysis mainly replies on the above 4 features. Serial No is also included as the first column and flower type as the last column name. The data is downloaded from kaggle.com. The (105*6) rows are fully filled with consistent data to avoid data inaccurancy,inconsistency. This is a great achievement where the original data is available as expected to start the analysis *Acknowledgements* ---------------- This is my first research in EDA *Inspiration* ----------- I feel to pass a new data to identify which species it belongs to, based on the features. For that, I need to consider the range for each features and that has to be unique from each other. I feel to consider the petal's color too as major criteria to differentiate the flower varieties easily. * I have a question in my mind:* ------------------------------------ How to analyse and conclude, if there are any new hybrid variety evolves with random combination of any of the 3 types with new features? How can we conclude which flower variety the hybrid belongs to, if all the features are represented equally in the hybrid flowers?