Your chart is only as impactful as your ability to customize and share it on your terms. In this module, you'll configure Plotly figure attributes using update_layout and magic underscore syntax, choose between Plotly Express and Graph Objects for each use case, and export your visuals as interactive HTML files ready to share with any audience.

Your data tells a story, but the chart type you choose determines whether your audience can read it. In this module, you'll build line, bar, scatter, and bubble charts with Plotly Express, apply statistical charts to reveal distribution patterns in your data, and extend your toolkit to interactive 3D visualizations that give your audience a new perspective on multi-dimensional relationships.

Your most memorable data stories are often told by chart types your colleagues have never seen before. In this module, you'll build three of Plotly's most striking specialized chart types: geographic maps that display location-based data on interactive backgrounds, sunburst charts that reveal proportions within hierarchical data, and Sankey diagrams that trace flows between sequential states.

Your visualizations become tools when your audience can interact with them. In this module, you'll add dropdown menus and button controls to individual Plotly figures, combine multiple charts into a unified subplot layout, and package your visuals into a live Dash web application that users can drive directly from a browser.