What This Document Is
This optional Notebook 8 for Georgia Tech’s Computing for Data Analysis (CSE 6040) course provides a focused exploration of data visualization techniques within Python. It serves as a practical demonstration of two key libraries: Bokeh for interactive plots and Seaborn for static visualizations. The notebook is designed to be exploratory rather than a graded assignment.
Why This Document Matters
This resource is valuable for students and data professionals seeking to enhance their ability to communicate data insights effectively. Visualizations are crucial for exploratory data analysis, reporting, and presenting findings to diverse audiences. Understanding both interactive (Bokeh) and static (Seaborn) visualization methods is essential for a well-rounded data science skillset. It’s particularly useful when preparing visualizations for inclusion in reports or web-based applications.
Common Limitations or Challenges
This notebook is not a comprehensive tutorial on data visualization principles. It doesn’t delve deeply into the theoretical underpinnings of visual design or cover the full range of customization options available in Bokeh and Seaborn. It also assumes some basic familiarity with Python and data manipulation using Pandas. The notebook focuses on *showing* what’s possible, not *teaching* how to master these tools.
What This Document Provides
The full notebook includes:
* Code examples demonstrating the creation of various plots using Bokeh and Seaborn.
* A download mechanism for sample datasets (Iris, tips, anscombe, and titanic) used in the visualizations.
* An introduction to the Grammar of Graphics concept as implemented in Bokeh.
* A demonstration of how to integrate visualizations within a Jupyter notebook environment.
This preview *does not* include executable code or detailed explanations of the underlying code. It does not provide a step-by-step guide to creating visualizations, nor does it cover advanced customization techniques. It is intended to give a high-level overview of the notebook’s scope and content.
