Skip to content

Latest commit

 

History

History
50 lines (37 loc) · 1.7 KB

visualizations.md

File metadata and controls

50 lines (37 loc) · 1.7 KB

Visualization Strategy and Development Documentation

Overview

  • Brief overview of the visualization goals and their alignment with the overall project objectives.

Visualization Strategy

Identifying Key Messages

  • Discuss main messages or insights to communicate through visualizations.
  • Identify target audience and their specific needs.

Selecting Appropriate Visualization Types

  • Explore different types of visualizations (charts, graphs, 3D, interactive elements) suitable for the data and message.
  • Brainstorm creative visualization approaches.

Visualization Development

Code-Generated Visualizations

  • Outline initial visualizations generated from the data pipeline.
  • Include code snippets and explanations.
# Example Python code for a basic plot
import matplotlib.pyplot as plt
plt.plot(data['x'], data['y'])
plt.show()

Enhancing Visualizations

  • Steps for annotating, animating, creating 3D, immersive, or interactive visualizations.
  • Discuss challenges and solutions in enhancing visuals.

Versioning and Iterations

  • Document different versions and iterations of visualizations.
  • Reflect on improvements or changes in each version.

Finalizing Visualizations

  • Process of finalizing visuals for presentation or publication.
  • Feedback incorporation from team or test audiences.

Documentation of Tools and Resources

  • List software, libraries, and tools used for visualization.
  • Reference external resources or tutorials.

Conclusions

  • Summarize the visualization process and contributions to the project.
  • Reflect on lessons learned and potential future improvements.

References

  • Cite external sources, inspirations, or frameworks used in visualization.