This chapter covers charting in Python. We’ll examine the situations where creating charts with Python code is superior to creating them in Excel. Then we’ll explore how to work with Plotly, a powerful and relatively simple charting library. We’ll start with basic line and bar charts, then move on to more complex, multidimensional charts with custom styling, reusable themes, and interactive elements.
No matter the goal of your data analysis—spotting trends, seeing relationships, making decisions, or communicating ideas—visualizations are one of the most powerful tools you have. Creating these visualizations more ...
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