Testing Statistical Charts: What Makes a Good Graph?

papers
Author

Susan Vanderplas, Dianne Cook, Heike Hofmann

Published

March 1, 2020

Keywords

pr, visualization, user testing, visual inference, perception, design, review

Citation

[1] S. Vanderplas, D. Cook, and H. Hofmann. “Testing Statistical Charts: What Makes a Good Graph?” In: Annual Review of Statistics and Its Application 7.1 (Mar. 01, 2020), pp. 61-88. DOI: https://doi.org/10.1146/annurev-statistics-031219-041252.

@article{vanderplasTestingStatisticalCharts2020,
  author = {Susan Vanderplas and Dianne Cook and Heike Hofmann},
  title = {Testing Statistical Charts: What Makes a Good Graph?},
  journal = {Annual Review of Statistics and Its Application},
  volume = {7},
  number = {1},
  pages = {61-88},
  year = {2020},
  doi = {https://doi.org/10.1146/annurev-statistics-031219-041252},
  month = {mar},
}

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