Exploratory Data Analysis

Exploratory Data Analysis (EDA) is an approach for data analysis that employs a variety of techniques to maximize insights into a data set; uncover the underlying structure; extract important variables; detect outliers and anomalies; develop parsimonious models; and determine optimal factor settings.

Dataset taken:

Iris DataSet

Steps for running the jupyter notebook:

1. Clone the repository.
2. Run jupyter notebook.
3. Open the cloned repository on the local host.
4. Cheers! No-one is there between you and your data ;), explore it in your way!