cs180_lab2
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| - | =====Literacy Lab 1: Tweet Sentiment:===== | ||
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| - | Now that 2020 is behind us, we can all breathe a collective sigh of relief and start sciencing it. | ||
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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 (no MSWORD, please!) writeup that responds to the questions below. | ||
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| - | ====Grading standards:==== | ||
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| - | Your PDF will be graded on the following: | ||
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| - | * 100% Successfully turned in a PDF with reasonable answers | ||
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| - | ====Lab Description:==== | ||
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| - | For this assignment, you will need to analyze the following infographic, and respond to the questions below. Please submit your responses as a one-page PDF via LearningSuite. | ||
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| - | {{::twitter_sadness.png?nolink|}} | ||
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| - | You must respond to the following questions. | ||
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| - | This infographic was published in an [[https://www.economist.com/graphic-detail/2020/12/31/twitter-users-have-had-their-most-miserable-year-yet|Economist article]]. It relies on a technique called [[https://monkeylearn.com/sentiment-analysis/|sentiment analysis]]. | ||
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| - | * What can you conclude from this data? | ||
| - | * What can't you conclude from this data? | ||
| - | * What are the limitations of possible conclusions based on the way the data was collected? | ||
| - | * Does this data tell us anything about how to make the world a better place? | ||
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cs180_lab2.txt ยท Last modified: 2021/06/30 23:42 (external edit)
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