Visualligence at ExploreWeb 2011 (colocated with ICWE at Cyprus)


The International Conference on Web Engineering was celebrated from June 20th to 25th.

This year, at Cyprus, with seven workshops and an interesting main conference, tutorials, demos, etc.

We was there with Quercus Software Engineering Group to present our work on formalizing data visualization for the Web, in the Explore Web Workshop.

You can find the paper at mendeley.

Choosing the colors

In the previous gallery we can see the snapshots of three well-known spreadsheet software solutions. They are stacked bar graphs of a minimal data set. I want you to focus on the default color selection.

Microsoft Office seems to keep the intensity, changing the hue. Google Docs keeps saturation, and Libre Office does not keep neither saturation nor intensity, but maximizing the contrast between colors. Ware, in his book “Information Visualization. Perception for design”, proposed a set of 12 colors for labeling (shown the fourth in the gallery).

We can check that this set is another one, not the same of any previous software solution evaluated.

I only get one conclussion: every detail matters. ¿Which color set is your preferred for labeling?


You are here

From Javier Noguerol website, I discover this alternative map of ‘Metro de Madrid’ (Madrid Underground).

It seems interesting because it represents semantics that usually is not present in a map. The fact that line 6 is “cyclic” is expressed as a circular shape. Until I see that one, I usually divided them in two categories: a) these whose represented in a realistic way the actual position of the stations, and b) these whose expressed the nodes-and-edges anatomy abstracting from the geography. This map does not fit very well in any these ones.

In fact, this map is in the category of “awesome!”, but I think now we are in front of a new challenge: optimize the map, not for only representing the data, but for doing it in the manner that most help the users to take decisions. Which are the usual decisions taken while we use an underground map? We search for:

  1. the most efficient (shortest, simplest) path between two points.
  2. the nearest to us underground station.

I take the challenge. Some day I will try to do an underground map with the focus in the user decisions.

For now, my congratulations to Javier Noguerol.

Effectiveness vs. ornateness. A globe to rule them all.

Recent dates have been very productive to the circular-things lovers.


Google presented a HTML5 experiment that allows geographic data visualization.

My only question is about effectiveness. Not only about using the available space, but in showing the data in a fully-communicative way. Is that the best way to show that data?

Please, feel free to comment.