Hostname: page-component-74656f9884-kv2lp Total loading time: 0 Render date: 2026-11-06T06:12:48.660Z Has data issue: false hasContentIssue false
  • English
  • Français

Composable data visualizations

Part of: JFP Functional Pearls

Published online by Cambridge University Press:  17 June 2021

TOMAS PETRICEK Open the ORCID record for TOMAS PETRICEK [Opens in a new window]
TOMAS PETRICEK*
Affiliation:
School of Computing, University of Kent, Canterbury CT2 7NZ, UK (e-mail: t.petricek@kent.ac.uk)
Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Let’s say we want to create the two charts in Figure 1. The chart on the left is a bar chart thatshows two different values for each bar. The chart on the right consists of two line chartsthat share the x axis with parts of the timeline highlighted using two different colors.

Information

Type
Functional Pearl
Information
Journal of Functional Programming , Volume 31 , 2021 , e13
Check for updates
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press

References

Aisch, G., Cox, A. & Quealy, K. (2015) You Draw it: How Family Income Predicts Children’s College Chances. New York Times. Accessed May 24, 2020. Available at: https://www.nytimes.com/interactive/2015/05/28/upshot/you-draw-it-how-family-income-affects-childrens-college-chances.html.Google Scholar
Bostock, M., Ogievetsky, V. & Heer, J. (2011) D3 data-driven documents. IEEE Trans. Visualization Comput. Graphics 17(12), 2301–2309.10.1109/TVCG.2011.185CrossRefGoogle ScholarPubMed
Czaplicki, E. (2012) Elm: Concurrent FRP for Functional GUIs. Senior Thesis, Harvard University. Available at https://elm-lang.org/assets/papers/concurrent-frp.pdf.Google Scholar
Czaplicki, E. (2016) A Farewell to FRP: Making Signals Unnecessary with The Elm Architecture. Accessed May 24, 2020. Available at: https://elm-lang.org/news/farewell-to-frp.Google Scholar
Dahlström, E., Dengler, P., Grasso, A., Lilley, C., McCormack, C., Schepers, D. & Watt, J. (2011) Scalable Vector Graphics (svg) 1.1, 2nd ed. W3C Recommendation. Accessed May 24, 2020. Available at: http://www.w3.org/TR/2011/REC-SVG11-20110816/.Google Scholar
Docker, T. (2020) Chart: A Library for Generating 2D Charts and Plots. Haskell Hackage. Accessed December 9, 2020. Available at: https://hackage.haskell.org/package/Chart.Google Scholar
Elliott, C. (2003) Functional images. In The Fun of Programming, Chapter 7, Gibbons, J. & de Moor, O. (eds). Palgrave.Google Scholar
Google. (2020) Google Charts: Interactive Charts for Browsers and Mobile Devices. Google. Accessed May 24, 2020. Available at: https://developers.google.com/chart.Google Scholar
Kennedy, A. (2009) Types for units-of-measure: Theory and practice. In Central European Functional Programming School. Springer, pp. 268–305.Google Scholar
Krzywinski, M., Schein, J., Birol, I., Connors, J., Gascoyne, R., Horsman, D., Jones, S. J. & Marra, M. A. (2009) Circos: An information aesthetic for comparative genomics. Genome Res. 19(9), 1639–1645.10.1101/gr.092759.109CrossRefGoogle ScholarPubMed
Satyanarayan, A., Moritz, D., Wongsuphasawat, K. & Heer, J. (2016) Vega-lite: A grammar of interactive graphics. IEEE Trans. Visualization Comput. Graphics 23(1), 341–350.10.1109/TVCG.2016.2599030CrossRefGoogle Scholar
Satyanarayan, A., Russell, R., Hoffswell, J. & Heer, J. (2015) Reactive Vega: A streaming dataflow architecture for declarative interactive visualization. IEEE Trans. Visualization Comput. Graph. 22(1), 659–668.10.1109/TVCG.2015.2467091CrossRefGoogle Scholar
Stolte, C., Tang, D. & Hanrahan, P. (2002) Polaris: A system for query, analysis, and visualization of multidimensional relational databases. IEEE Trans. Visualization Comput. Graphics 8(1), 52–65.10.1109/2945.981851CrossRefGoogle Scholar
Waskom, M., Botvinnik, O., Hobson, P., Warmenhoven, J., Cole, J. B., Halchenko, Y., Vanderplas, J., Hoyer, S., Villalba, S. & Quintero, E. (2014) Seaborn: Statistical Data Visualization. Accessed May 24, 2020. Available at: https://seaborn.pydata.org/.Google Scholar
Wickham, H. (2010) A layered grammar of graphics. J. Comput. Graphical Stat. 19(1), 3–28.10.1198/jcgs.2009.07098CrossRefGoogle Scholar
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer.10.1007/978-3-319-24277-4CrossRefGoogle Scholar
Wilkinson, L. (1999) The Grammar of Graphics. New York: Springer-Verlag.10.1007/978-1-4757-3100-2CrossRefGoogle Scholar
Yorgey, B. A. (2012) Monoids: Theme and variations (functional pearl). In Proceedings of the 5th ACM SIGPLAN Symposium on Haskell, Haskell 2012, Copenhagen, Denmark, 13 September 2012, Voigtländer, J. (ed). ACM, pp. 105–116.10.1145/2364506.2364520CrossRefGoogle Scholar

Petricek supplementary material

Petricek supplementary material

Download Petricek supplementary material(Audio)
Audio 26 MB
Submit a response

Discussions

No Discussions have been published for this article.