There are many good tools for data visualization, ranging from the built-in graphing of Microsoft Excel to the business-intelligence plotting and dashboarding tools like Tableau, Looker, and Microsoft’s Power BI. What about when you want to integrate plotting with your Python data analytics workflows? Luckily, there are many solid Python plotting options as well, all of which are listed and compared at pyviz.org. Matplotlib, Plotly, and Bokeh (along with tools built on top of them) are the most popular and are all solid choices. Any of these tools can help you make sure you draw the right conclusions at every step of your analysis and can help you build presentations driven directly from Python.
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