# References

# General

  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.

# Week 1

  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.

# Week 2

  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 (opens new window)

# Week 3

  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.

# Week 4

  1. Wilke, Claus O. Fundamentals of Data Visualization. O’Reilly Media, 2019. https://clauswilke.com/dataviz/ (opens new window)
  2. 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 (opens new window)
  3. 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/ (opens new window)
  4. Schwabish, Jonathan. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press. 2021.
  5. Organ, Nancy. Data Visualization for People of All Ages. A K Peters. 2024.

# Week 5

  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 (opens new window)
  4. Fry, Ben. Specious. 2016. https://benfry.com/specious/ (opens new window)
  5. Posavec, Stefanie. Writing Without Words. 2008. http://www.stefanieposavec.com/writing-without-words (opens new window)
  6. Wattenberg, Martin and Fernanda B. Viégas. Word Tree. 2007. http://hint.fm/projects/wordtree/ (opens new window)
  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 (opens new window)
  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.

# Week 6

  1. 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.
Last Updated: 2025/11/13 14:43:42