Whenever we are working with datasets the first step is generally understanding what is the data all about. So for exploring the data we start with Exploratory Data Analysis which is analyzing the data with certain techniques and visualization in order to get a clear idea of the data we are dealing with. In EDA we analyze different attributes and their statistical properties also we visualize the data using different graphs and plots.

EDA is a necessary step so we cannot neglect it, but performing EDA generally is a pretty time-consuming task because we need to write different types of code for statistical properties as well as codes for different types of visualizations. There are different python libraries and modules which can help in reducing the efforts and time taken in EDA by simple and easy to use codes. The lens is one such library.

The lens is an open-source python library which is used for fast calculation of summary statistics and the correlation in the dataset. It helps us explore the properties of different attributes of the dataset in just a single line of code. It creates different types of visualizations of all the attributes in the data. It works on both numerical and categorical data. It is blazingly fast and easy to use.

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