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.
To read in detail, click on topic showed in left side menu.