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EDA Checkpoint Feedback #4

@grader-cogs108

Description

@grader-cogs108

EDA Checkpoint Feedback

Score (out of 10 pts)

Score = 8

EDA Checkpoint Feedback

Quality Reasons
EDA Relevance Proficient
EDA Analysis and Description Developing - Nice start but you could also see how much variation is explained by height quantitatively using correlations or regression. Additionally, what would be next steps for your final project seeing that your main variable of interest is not that powerful - will you look at other variables?
EDA Figures Proficient

PLA Comments

[comment_eda]

Regrade Feedback

Rubric

Unsatisfactory Developing Proficient Excellent
EDA relevance EDA is mostly neither relevant to the question nor helpful in figuring out how to address the question. Or the EDA does address the question, but many obviously relevant variables / analyses / figures were not included. EDA is partly irrelevant/unhelpful. EDA missed one or two obvioulsy relevant analysis (distributions of single variables or relationships between variables) EDA includes the obviously relevant / helpful variables in addressing the question. Thorough EDA fully explored the dataset
EDA analysis and description Many of the analyses are poor choices (e.g., using means instead of medians for obviously skewed data), or are poorly described in the text, or do not aid understanding the data Some of the analyses are poor choices, or are poorly described in the text, or do not aid understanding the data All analyses are correct choices. Only one or two have minor issues in the text descriptions supporting them. Mostly they fit well with other elements of the EDA and support understanding the data All analyses are correct choices with clear text descriptions supporting them. The figures fit well with the other elements of the EDA, producing a clear understanding of the data.
EDA figures Many of the figures are poor plot choices (e.g., using a bar plot to represent a time series where it would be better to use a line plot) or have poor aesthetics (including colormap, data point shape/color, axis labels, titles, annotations, text legibility) or do not aid understanding the data Some of the figures are poor plot choices or have poor aesthetics. Some figures do not aid understanding the data All figures are correct plot choices. Only one or two have minor questionable aesthetic choices. The figures mostly fit well with the other elements of the EDA and support understanding the data All figures are correct plot choices with beautiful aesthetics. The figures fit well with the other elements of the EDA, producing a clear understanding of the data.

Grading Rules

Scoring: Out of 10 points

Each Developing => -2 pts
Each Unsatisfactory=> -4 pts
until the score is 0

If students address the detailed feedback in a future checkpoint they will earn these points back

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