Final Project Feedback + Score

[ShanEllis]

Background & Question (-0) | Good background, strong motivation to study the problem! Could include more citations on any previous work relating to weather, traffic data, or a combination. Questions are clear.

Data & Wrangling (-0) | Good data description. Wrangling includes explanation of what is being done at each step.

EDA (-0.5) | Some of your plots are confusing - When you plot time-series data, you should do it in chronological order! We are always used to seeing time series in this order. Normalize your histograms when comparing multiple variables between categories (seasons v. weather conditions). There are a lot of plots here, and it's good that you're trying to get a broad understanding of the dataset. I think some of these plots could be chosen more carefully and tuned to convey the point you are trying to make. If you're showing distributions and comparing them to each other, present them normalized and on the same plot to make it easy to see the difference. I really like the way you present the final scatter plot!

Analysis (-1) | Q1 is too simple to be an analysis question. The analysis you do for Q2 is good. There should be an exploration of any confounding variables here - during winter it is much more common to see rain / storms in San Diego! There should be some exploration for independence between the weather and the season.

Discussion & Conclusion (-0.5) | Conclusion provides context for the results found. There should be more discussion of limitations and future directions for research.

Overall (-0) | no typos, story makes sense,well motivated

Presentation (-0.5) | So much text on each slide! Audience will just start reading your presentation as you speak it. The linear model is very well analyzed - the way you present key takeaways makes it very easy to understand!

Background & Question - Background: explains necessary background on topic chosen (1) - Citations: includes citations as needed (0.5) - Questions: clearly spells out question(s) being answered (1)	Data & Wrangling - Dataset: Describes dataset being used in necessary detail (0.5) - Text: includes sufficient text to guide the viewer throughout - including introduction/citation of the dataset (0.75) - Code : includes clear code and sufficient comments to guide the viewer (0.75) - Wrangling: wrangles all datasets into usable format or displays dataset demonstrating further wrangling not needed (0.5)	EDA - EDA: plots generated help reader fully understand data being used (1) - Viz: plots are well-designed (clear from visualization what's being plotted - i.e. axes labeled, stuff big enough, colors clear, etc. (1) - Code: includes clear code and sufficient comments to guide the viewer (0.5) - Explanations: text/interpretation included is correct/helpful (0.5)	Analysis - Analyses: analysis carried out are accurate and answer the questions posed (1) - Code: includes clear code and sufficient comments to guide the viewer (0.75) - Explanations: explanations are clear and include necessary level of detail (0.75) - Interpretations: interpretations are included/accurate/correct and put in context of question being asked (0.5)	Conclusion/Discussion - Results: summarized clearly an in context of questions asked (0.5) - limitations of their analysis and/or future directions are discussed (0.5)	Overall - Storytelling: Makes sense from start to finish (0.5) - Clarity: Is generally well-written, concise, and there aren't too many typos (1.5)	Presentation Summarizes the analysis clearly (0.5) Is 3-5 min in length (0.4) Employs effective oral communication overall (1) Employs effective communication about visuals/data (1)	Points
2.5	2.5	2.5	2	0.5	2	2.4	14.4