EDA Checkpoint Feedback

[ShanEllis]

EDA Checkpoint Feedback

Score (out of 5 pts)

Score = 5

EDA Checkpoint Feedback

	Quality	Reasons
EDA Relevance	P	You should look into ordinal linear regression or classification, since linear regression does not suit your dataset.
EDA Analysis and Description	D	By just showing boxplots and pairplots, without suitable explanations provides no substance. You state what you plotted but not what you learned - should guide viewer as to what is to be learned.
EDA Figures	D	What are the labels? For example in the first distribution plot, it is hard to understand without proper labelling. Certain plots do not have titles, making it cumbersome to understand your work. Need to improve visual quality of plots, work on providing titles, descriptive axis labels.

Comments

I have graded the submission (commit id: c04ee98) since the current notebook was updated a couple of days back.

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 does not include explore distributions of single variables or relationships between variables or both	EDA is partly irrelevant/unhelpful. Or some obviously relevant variables / analyses / figures were not included. EDA does not include a few distributions of single variables or relationships between variables	EDA is almost all relevant / helpful in addressing the question. No obviously relevant variables / analyses / figures were not included.	Thorough EDA addressed all aspects that are relevant to the question
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 5 points

Each Developing => -1 pts
Each Unsatisfactory=> -2 pts
until the score is 0

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

DETAILED FEEDBACK should be left in the data section AND anywhere the student addressed proposal feedback but did not do it to your satisfaction