Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: papertots
  • Language: R
  • Default Branch: master
  • Size: 194 KB
Statistics
  • Stars: 0
  • Watchers: 1
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  • Releases: 1
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

Data Source

Data nba.csv obtained from Kaggle repository NBA PLAYERS 2016-2019, which is licensed under CC0: Public Domain.

Attributions

The APA formatting file apa-no-ampersand.csl is American Psychological Association 7th edition (no ampersand) by Brenton M. Wiernik, retrieved from Zotero Repository, and is licensed under Creative Commons Attribution-ShareAlike 3.0 License.

Owner

  • Name: papertots
  • Login: papertots
  • Kind: user

Citation (citations.bib)

@misc{ratto_nba_2019,
	title = {{NBA} players 2016-2019},
	url = {https://www.kaggle.com/datasets/davra98/nba-players-20162019},
	publisher = {Kaggle},
	author = {Ratto, Davide and Galli, Alfredo and Rubini, Riccardo},
	date = {2019-12},
}

@misc{gift_social_2017,
	title = {Social Power {NBA}},
	url = {https://www.kaggle.com/datasets/noahgift/social-power-nba},
	publisher = {Kaggle},
	author = {Gift, Noah},
	date = {2017-08},
}

@online{noauthor_basketball_nodate,
	title = {Basketball Statistics \& History of every Team \& {NBA} and {WNBA} players},
	url = {https://www.basketball-reference.com/},
}

@online{hoopshype_hoopshype_nodate,
	title = {Hoopshype},
	url = {https://hoopshype.com/},
	author = {{HoopsHype} and {Choch, C. A. de}},
}

@online{muldoon_log-0_2018,
	title = {The log-0 problem: analysis strategies and options for choosing c in log(Y + c)},
	url = {https://aosmith.rbind.io/2018/09/19/the-log-0-problem/},
	shorttitle = {The log-0 problem},
	abstract = {Analyzing positive data with 0 values can be challenging, since a direct log transformation isn't possible.  I discuss some of the things to consider when deciding on an analysis strategy for such data and then explore the effect of the value of the constant, c, when using log(y + c) as the response variable.},
	titleaddon = {Very statisticious},
	author = {Muldoon, Ariel},
	urldate = {2025-06-10},
	date = {2018-09-19},
}

@book{berger_experimental_2018,
	location = {Cham},
	edition = {2nd ed. 2018.},
	title = {Experimental Design : With Application in Management, Engineering, and the Sciences.},
	isbn = {978-3-319-64583-4},
	abstract = {This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.},
	publisher = {Springer International Publishing},
	author = {Berger, Paul D. and Maurer, Robert E. and Celli, Giovana B.},
	date = {2018},
	doi = {10.1007/978-3-319-64583-4},
	keywords = {Statistical Theory and Methods, Statistics, Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences},
}

@misc{ford_interpreting_2018,
	title = {Interpreting log transformations in a linear model},
	url = {https://library.virginia.edu/data/articles/interpreting-log-transformations-in-a-linear-model},
	urldate = {2025-06-14},
	journal = {UVA Library StatLab},
	author = {Ford, Clay},
	month = aug,
	year = {2018},
}

@misc{nugent_very_2019,
	title = {A {Very} {Gentle} {Introduction} to {Splines}},
	url = {https://joshua-nugent.github.io/splines/},
	urldate = {2025-06-16},
	journal = {Github Pages},
	author = {Nugent, Josh},
	year = {2019},
}

@misc{curcic_nba_2024,
	title = {{NBA} salaries analysis (1991-2022)},
	url = {https://runrepeat.com/salary-analysis-in-the-nba-1991-2019},
	abstract = {We spent 3 months collecting and analyzing 15,161 NBA salaries of 2,516 NBA},
	language = {en},
	urldate = {2025-06-17},
	journal = {RunRepeat},
	author = {Curcic, Dimitrije},
	month = mar,
	year = {2024},
}

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