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