In this video, I will show you how you can represent the data in different visual contexts, patterns, etc.
Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends, and correlations that might not otherwise be detected can be exposed.
Technologies used: Python, Jupyter
Tools: Matplotlib, Seaborn, Pandas
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