Data Visualization is considered to be one of the best ways to identify any anomaly, outlier, or if data follows a particular pattern. While looking at graphs and plots with our naked eyes we can clearly see what the data is trying to tell us. Data Visualization is the most important part of Story Telling about telling because it backs the story with visualizations that have a greater impact.

Python provides different modules/packages which are used for data visualization. We can create different visualizations like statistical visualizations, 3D visualization, etc. using different python packages and modules like seaborn, matplotlib, bokeh, etc. All python libraries provide us with different processes to create visualizations so each time we use a library we should what syntax to follow and what should be the code for different plots.

Visualizer is a python library that automates the process of visualization. It supports a large variety of graphs and plots which can easily be created using a single line of code. It allows creating visualizations of any individual relationship between multiple columns.

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In this article, we will explore what are some of the plots and graphs which we can create using a visualizer…

#developers corner #automating visualization #data analytics #visualization #python