情報可視化の理論と実践

参考文献

Feb 06, 20253 min read

全体

  1. Kirk, Andy. Data Visualisation. SAGE Publications, 2019.
  2. Healy, Kieran. Data Visualization. Princeton University Press, 2018. (瓜生真也・江口哲史・三村喬生訳『データ可視化入門』講談社, 2021.)
  3. Tukey, John. Exploratory Data Analysis. 1977. Addison-Wesley, 1977.
  4. 今井耕介『社会科学のためのデータ分析入門 上・下』岩波書店, 2018.
  5. Ware, Colin. Information Visualization. Morgan Kaufmann, 2004.
  6. Anish, Jose, and Jon. The Missing Semester of Your CS Education. 2020. https://missing.csail.mit.edu/

第2回

  1. Tufte, Edward R. Visual and Statistical Thinking. Graphics Press, 1997.
  2. 森藤大地・あんちべ『エンジニアのためのデータ可視化実践入門』技術評論社, 2014.
  3. Friendly, Michael and Wainer, Howard. A History of Data Visualization and Graphic Communication. Harvard University Press, 2021. (飯嶋貴子訳『データ視覚化の人類史』青土社, 2021.)
  4. Illinsky, Noah and Steele, Julie. Designing Data Visualizations. O’Reily, 2011.

第3・4・5回

  1. Fry, Ben. Visualizing Data. O’Reilly, 2008.
  2. Dale, Kyran. Data Visualization with Python and JavaScript. O’Reilly, 2016.
  3. 宋財泫・矢内勇生. 私たちのR: ベストプラクティスの探究. 2022. https://www.jaysong.net/RBook/index.html
  4. 加藤耕太『Pythonクローリング＆スクレイピング［増補改訂版］』技術評論社, 2019.

第6回

  1. Bertin, Jacques. Sémiologie graphique. Gauthier-Villars, 1967. (William J. Berg, Trans. Semiology of Graphics. Esri Press, 2010.)
  2. Wilkinson, Leland. The Grammar of Graphics. Springer, 2005.

第7・8回

  1. Wilke, Claus O. Fundamentals of Data Visualization. O’Reilly Media, 2019. https://clauswilke.com/dataviz/
  2. Bergstrom, Carl and West, Jevin. The Principle of Proportional Ink. 2016. https://callingbullshit.org/tools/tools_proportional_ink.html
  3. Kakeami. マンガと学ぶデータビジュアライゼーション. 2022. https://kakeami.github.io/viz-madb/index.html
  4. 山本祐輔. 静岡大学データアナリティクスII 講義資料. 2022. https://hontolab.org/education/
  5. Schwabish, Jonathan. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press. 2021.
  6. Organ, Nancy. Data Visualization for People of All Ages. A K Peters. 2024.

第9回

  1. 三中信宏『読書とは何か』河出書房, 2022.
  2. Moretti, Franco. Graphs, Maps, Trees: Abstract Models for a Literary History. Verso, 2005.
  3. Fry, Ben. The Preservation of Favoured Traces. 2009. https://fathom.info/traces
  4. Fry, Ben. Specious. 2016. https://benfry.com/specious/
  5. Posavec, Stefanie. Writing Without Words. 2008. http://www.stefanieposavec.com/writing-without-words
  6. Wattenberg, Martin and Fernanda B. Viégas. Word Tree. 2007. http://hint.fm/projects/wordtree/
  7. Wattenberg, Margin and Fernanda B. Viégas. The Word Tree, an Interactive Visual Concordance. IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 6, pp. 1221-1228, 2008. doi: 10.1109/TVCG.2008.172
  8. 斎藤康毅『ゼロから作るDeep Learning 2：自然言語処理編』O’Reilly Japan, 2018.
  9. 榊剛史（編著）『Pythonではじめるテキストアナリティクス入門』講談社, 2022.
  10. 小町守『自然言語処理の教科書』技術評論社, 2024.
  11. 谷中瞳『ことばの意味を計算するしくみ：計算言語学と自然言語処理の基礎』講談社, 2024.
  12. Firth, John Rupert. A synopsis of linguistic theory 1930-1955. Studies in Linguistic Analysis. Blackwell, 1957.

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