Web Reference: Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. Mar 23, 2026 · Plotly is a data visualization library that enables users to create interactive, publication ready charts and dashboards in Python, R and JavaScript. It is widely used for exploratory data analysis, business reporting and web‑based visualisations. Learn how to create interactive data visualizations in Python with dropdowns, range sliders, customer buttons and more using the Plotly charting library.
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Advanced Data Visualization with Plotly | Python for Data Analytics
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Plotly Python - Introduction of plotly data visualization and creating plotly chart
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Matplotlib vs. Plotly: The Ultimate SHOWDOWN of Python Data Visualization Giants | Episode #13
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Plotly Tutorial - Basics in 7 Minutes!
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Introduction to Dash Plotly - Data Visualization in Python
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Try these 5 Python libraries to simplify data visualization
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