References & Further Reading

References

  1. M. L. Waskom, seaborn: statistical data visualization, Journal of Open Source Software, 2021

    The official Seaborn paper describing its architecture, design philosophy, and relationship to Matplotlib.

  2. Plotly Technologies, Plotly Python Documentation, 2024

    Comprehensive documentation for Plotly Express, Graph Objects, and Dash, with interactive examples.

  3. P. H. Smith, Transmission Line Calculator, Electronics, 1939

    The original Smith chart paper, describing the conformal mapping from impedance to reflection coefficient.

  4. J. G. Proakis and M. Salehi, Digital Communications, McGraw-Hill, 2008

    Contains thorough treatment of eye diagrams, pulse shaping, and ISI analysis for digital communication systems.

  5. Matplotlib Development Team, Animation Module Documentation, 2024

    Official Matplotlib documentation for FuncAnimation, ArtistAnimation, and supported writers (ffmpeg, pillow).

Further Reading

  • Interactive dashboards with Dash

    A. Schroeder, *The Book of Dash*, No Starch Press, 2022

    A hands-on guide to building analytical web dashboards with Plotly Dash, including deployment and callbacks.

  • Advanced Seaborn techniques

    Seaborn tutorial: https://seaborn.pydata.org/tutorial.html

    Official tutorials covering FacetGrid, PairGrid, and custom statistical estimation functions.

  • RF visualization with scikit-rf

    scikit-rf documentation: https://scikit-rf.readthedocs.io/

    Professional-quality Smith charts, S-parameter plots, and network analysis visualization.

  • Eye diagram analysis

    B. Sklar, *Digital Communications: Fundamentals and Applications*, Prentice Hall, 2001

    Thorough treatment of eye diagram interpretation, including the relationship between eye opening and BER.