cs180_lab1
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| - | =====Lab 1: Nutrition Analysis:===== | ||
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| - | This is your first lab! | ||
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| - | ====Objective:==== | ||
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| - | To begin to think creatively and critically about data visualizations and analysis. | ||
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| - | ---- | ||
| - | ====Deliverable:==== | ||
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| - | 1 one-page PDF writeup that responds to the questions below. | ||
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| - | ---- | ||
| - | ====Grading standards:==== | ||
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| - | Your notebook will be graded on the following: | ||
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| - | * 20% Successfully turned in a notebook with working code | ||
| - | * 35% Random image with 50 random elements | ||
| - | * 35% Image indicating tensorflow success | ||
| - | * 10% Tidy and legible figures, including labeled axes where appropriate | ||
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| - | ---- | ||
| - | ====Lab Description:==== | ||
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| - | For this assignment, you will need to analyze the following infographic: | ||
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| - | {{::foodchart.png?nolink|}} | ||
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| - | You must respond to the following questions: | ||
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| - | * The article’s print version states “Experts disagree almost as much as non-experts.” Find evidence of this in the graph. (Hint: Examine the ratings of foods on the y = x line.) | ||
| - | * Describe the cluster of foods on y = x (27 percent of foods); the cluster in y > x region (44 percent); the cluster in y < x region (29 percent). Hypothesize what these the foods in a cluster and their ratings have in common. | ||
| - | * How were the foods picked for the surveys? Based on what it says in the article, do you think this would give a broad sample of foods that are commonly eaten? (Hint: Why is there a gap in the middle of the graph?) | ||
| - | * How was the data collected? Based on what it says in the article, do you think this would give a reasonable sample of the general public and nutritionists? If not, why not? What could they have done differently? | ||
| - | * Why do steak and hamburgers rate so different? How about American and Cheddar cheese? | ||
cs180_lab1.txt · Last modified: 2021/06/30 23:42 (external edit)
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