Why is #python better than #excel for Data Visualization?

Excel is powerful, but Python will upgrade your data science and analytics workflow because you can integrate data extraction, wrangling, and analytics in one environment.

You upload the data, clean it (which includes many complex tasks like feature creation, deleting useless data, imputing data, handling outliers, and many more), and finally analyze it to gain insights in one go using Python.

You can show all your work in containers, making it easier to fix mistakes than in Excel.

Python and Excel can handle similar functions when it comes to automating, but Python can handle much larger volumes of data than Excel.

Calculations are faster, and formulas can be more complex and specific than Excel’s VBA.

You can now replace Excel with Python and never look back.

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