HW3 for Haoyan
For the final project, I will be using the Halloween Candy dataset from Kaggle. https://www.kaggle.com/fivethirtyeight/the-ultimate-halloween-candy-power-ranking/code?datasetId=3732&language=R
competitorname chocolate fruity caramel peanutyalmondy nougat
1 100 Grand 1 0 1 0 0
2 3 Musketeers 1 0 0 0 1
3 One dime 0 0 0 0 0
4 One quarter 0 0 0 0 0
5 Air Heads 0 1 0 0 0
6 Almond Joy 1 0 0 1 0
crispedricewafer hard bar pluribus sugarpercent pricepercent
1 1 0 1 0 0.732 0.860
2 0 0 1 0 0.604 0.511
3 0 0 0 0 0.011 0.116
4 0 0 0 0 0.011 0.511
5 0 0 0 0 0.906 0.511
6 0 0 1 0 0.465 0.767
winpercent
1 66.97173
2 67.60294
3 32.26109
4 46.11650
5 52.34146
6 50.34755This dataset contains information about different Halloween candies such as whether the candy has chocolate, caramel, peanuts, etc. and most importantly sugar, price, and win percentile. A higher sugar percentile would indicate that the candy has relatively more sugar in it.
Potential research questions:
Which one is the most popular candy?
Which feature makes a piece of candy more desirable?
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For attribution, please cite this work as
Xiang (2022, Jan. 3). Data Analytics and Computational Social Science: HW3. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomjamesxiang11852511/
BibTeX citation
@misc{xiang2022hw3,
author = {Xiang, Haoyan},
title = {Data Analytics and Computational Social Science: HW3},
url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomjamesxiang11852511/},
year = {2022}
}