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title Data visualisation
pagetitle Data visualisation
subtitle from a communication perspective
date <span style="font-style:normal;">European Data Incubator</span><br />Bilbao, 9<small>th</small> November 2018
author Mikel Madina & Miren Berasategi
theme deusto
deusto true

Thank you!

This presentation is available at
https://mrn.bz/BDAP2018


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Resources

  • D3.js
    A JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
  • ggplot2
    Data visualization package for the statistical programming language R.
  • IEEEVIS 2018
    Conference on Scientific Visualisation, Information Visualisation and Visual Analytics. Papers from the 2018 edition.
  • matplotlib, seaborn
    Just two of the many data visualisation libraries available for Python
  • Open Access Vis
    A collection of open access visualisation research at the VIS 2018 conference.
  • Xenographics
    Weird but (sometimes) useful charts.

References

Anthony Aragues (2018), Visualizing Streaming Data. O'Reilly Media

Tanja Blascheck, Lonni Besançon, Anastasia Bezerianos, Bongshin Lee, Petra Isenberg (2019). "Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches". IEEE Transactions on Visualization and Computer Graphics 25(1) 10.1109/TVCG.2018.2865142`

Matthew Brehmer, Bongshin Lee, Petra Isenberg, Eun Kyoung Choe (2019). "Visualizing Ranges over Time on Mobile Phones: A Task-Based Crowdsourced Evaluation". IEEE Transactions on Visualization and Computer Graphics 25(1) 10.1109/TVCG.2018.2865234

Brendan Gregg (2016), "The Flame Graph". ACM Queue 14(2)

Luc Guillemot (2018), "How Does This Data Sound?"

Jeffrey Heer, Nicholas Kong, Maneesh Agrawala (2009), "Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations". ACM Human Factors in Computing Systems (CHI), pp. 1303 - 1312 10.1145/1518701.1518897

Bill Hinderman (2015), Building Responsive Data Visualization for the Web. O'Reilly

Christophe Hurter, Nathalie Henry Riche, Steven M. Drucker, Maxime Cordeil, Richard Alligier, Romain Vuillemot (2018), "FiberClay: Sculpting Three Dimensional Trajectories to Reveal Structural Insights", IEEE Transactions on Visualization and Computer Graphics 25(1)

Alex Kale, Francis Nguyen, Matthew Kay, Jessica Hullman (2019), "Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data", IEEE Transactions on Visualization and Computer Graphics 25(1)

Andy Kirk (2014), "The Design of Nothing: Null, Zero, Blank", OpenVis Conference 2014

Ihor Kovalyshyn (2017), "When Scatter Plot Doesn't Work"

Ricardo Langner, Ulrike Kister, Raimund Dachselt (2019). "Multiple Coordinated Views at Large Displays for Multiple Users: Empirical Findings on User Behavior, Movements, and Distances", IEEE Transactions on Visualization and Computer Graphics 25(1) (proc. InfoVis 2018) 10.1109/TVCG.2018.2865235

Elijah Meeks (2017), "Strategic Innovation in Data Visualization Will Not Come From Tech"

— (2018), "Data Visualization, Fast and Slow"

Dan Meth (2009), "The Trilogy Meter"

Miriah Meyer & Danyel Fisher (2018), Making Data Visual. O'Reilly Media

Dominik Moritz and Danyel Fisher (2018), "Visualizing a Million Time Serieswith the Density Line Chart" arXiv:1808.06019v2 [cs.HC]

Tamara Munzner (2015). Visualization Analysis and Design. CRC Press

Jonas Schöley (2018), "Choropleth maps with tricolore"

Ronell Sicat, Jiabao Li. DXR: A Toolkit for Building Immersive Data Visualizations


License

{height="50px" style="display:inline-block;margin-right:2em;"} {height="50px" style="display:inline-block;"} {height="50px" style="display:inline-block;"}

Copyright © 2018 University of Deusto
This work (except for the quoted images, whose rights are reserved to their owners) is licensed under the Creative Commons “Attribution-ShareAlike” License. To view a copy of this license, visit [http://creativecommons.org/licenses/by-sa/3.0/](http://creativecommons.org/licenses/by-sa/3.0/)