A picture is worth a 1000 words. Humans are easily attracted to visuals and most of us prefer to understand a particular scenario through pictures instead of text.


So, we can say due to following reason data visualization is so important in data analysis:

  • Through data visualization a  end user can absorb information quickly.
  • Through visual trends, you can easily understand your best next steps in less time and energy.
  • Data visualization makes data more accessible and less confusing.
  • Visualizations can be distributed among teams easily, and your teams will get a clear vision to an attractive visual rather than a massive data sheet.

In this tutorial we are going to cover data visualization library such as seaborn, matplotlib.

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