Constellations Summary & Rubric Score

[karl-project-review]

Rubric Score

Criteria 1: Matplotlib and CSV

• Score Level: 4/4 (Exceeds Expectations)
• Comments: You imported all the necessary libraries.

  Criteria 2: Implementation of 2D Visualization

• Score Level: 4/4 (Exceeds Expectations)
• Comments: You successfully created a 2D scatter plot of the data, complete with a descriptive title and a custom color. Good work!

  Criteria 3: Implementation of 3D Visualization

• Score Level: 4/4 (Exceeds Expectations)
• Comments: You created a rotatable, 3D plot of the constellation, and once again included a descriptive title and custom color. Well done!

  Overall Score: 12/12 (Exceeds Expectations)

  Great work! You created both of the necessary visualizations. To make your plots even better, think about how we can use our color selections to not only make our plots look better, but to add more information to them as well. For example, if we assigned each star a unique color and used this same set of colors in both graphs, then we could easily match individual stars from the 2D plot to their 3D representations, or using a key, identify which star is which by name. Again, nice job with this project!

[quantumjumper]

Thank you for your prompt review.

I will be adding additional constellations and incorporating unique colors and markers for each.

Thanks again.