Constellations Project 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: 3/4 (Meets Expectations)
• Comments: You successfully created a 2D plot of the constellation. Well done! However, including a descriptive title or axis labels could make it more clear what this plot represents.

  Criteria 3: Implementation of 3D Visualization

• Score Level: 4/4 (Exceeds Expectations)
• Comments: You created a rotatable, 3D plot of the constellation, complete with a title. Nice job!

  Overall Score: 11/12 (Meets Expectations)

  Good work! You created both of the required visualizations, and your 3D plot included an appropriate title to clarify what that plot represents. To make your visualizations even better, think about how we can use color to add visual cues or extra information to the plots. For example, if we assigned each star in the constellation a unique color and used this same color scheme for both the 2D and 3D plots, then we could more easily orient the plots to one another and see how they compare. Can you think of other ways we could add visual cues or information to these plots using color? Again, well done!

[sethdesigns]

Thank you for the review Karl. I look forward to taking what I have learned so far and working with some of my real data to test additional visualizations. I hope you have a great weekend!