Running the Notebook

Prerequisites

Ensure you have:

1. Installed Python packages (see Installation).
2. Activated your virtual environment.

Starting Jupyter

From the project directory, activate your environment and launch Jupyter:

Using Jupyter Lab (Recommended)

jupyter lab

Your browser should open automatically to http://localhost:8888 (or a similar URL with a token).

Using Jupyter Notebook

jupyter notebook

Opening the Notebook

1. In the Jupyter file browser, navigate to and click on data-visualization-demo.ipynb.
2. The notebook will open in a new tab.

Running Cells

• Run a single cell: Click the cell and press Ctrl+Enter (or Cmd+Enter on macOS).
• Run all cells: From the menu, select Run → Run All Cells.
• Run from a specific point: Click a cell and select Run → Run All Below.

Key Sections

The notebook is organized as follows:

1. Setup — Import libraries and install missing dependencies (run this first).
2. Load Datasets — Load iris, tips, and flights datasets from Seaborn.
3. Visualization Examples — Various chart types (line, scatter, histogram, heatmap, etc.).
4. Interactive Plots — Plotly examples with HTML export fallbacks.
5. Animations — Matplotlib FuncAnimation with MP4/GIF export.
6. Exporting to PDF — Multiple approaches for notebook→PDF conversion.

Troubleshooting

"Kernel died" or "Import error"

• Ensure you activated the virtual environment before launching Jupyter.
• Try restarting Jupyter and running the Setup cell again.

Plots not showing inline

• Confirm %matplotlib inline is in the setup cell and has been executed.

Memory or performance issues

• The datashader example creates a large synthetic dataset. Reduce the mult variable in that cell if your system is resource-constrained.

For more help, see Troubleshooting.