Teaching:TUW - UE InfoVis WS 2010/11 - Gruppe 05 - Aufgabe 3

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Interactive visualization

Introduction

Based on a report [1] of the Unicef, who tries to make a greater access to dinking-water and sanitation for humans all over the world, we made a visualization, which presents the access to it in addiction to the number of the population. The maintenance of the urban population is far better developed, in comparison to the rural population. The main reason therefore is that the rural population has harder and bigger geographic conditions.

884 Million people do not use improved sources of drinking - water. 2.6 Billion people do not use improved sanitation, just 61 percent of human civilization does it. With this in mind, we tried to show a analysis of the all regions over the world, which we have the information of.

This link leads you to the representation of the dataset.

Analysis of the dataset

The dataset[2] is continuous over the time from 1990 to 2008. In an interval of every 5th year, in each country have been made entries of the (un-) improved sources of drinking water, the sanitation and the people who gained access to it. But not all datasets of all countries are filled in the dataset, so we took just the completed ones.

The application area is the progress on all datasets, which shows us a multidimensional datastructure.

  • multivariate
  • temporal
  • numeric
  • hierarchies
  • countries < continents
  • all data (totals)
    • urban
    • rural
    • water
      • improved (totals)
        • piped
        • other improved
    • sanitation
      • unimproved (totals)
        • open defecation
        • shared
        • other


fehlt hier noch etwas? diese auflistung scheint etwas komisch !?

Analysis of the users

We declare the experts of preparing the sources of drinking water as the target audience of the visualization. But users, doctors and inhabitants of the regions are also able to look and understand this graphic. The shown dataset might be a reference for medical supporters, to know where the derivation of the complaints comes from. Our diagram might let you find out the coherence between different variables and dependence on time.

Analysis of the tasks

What do we want to reach with our visualization? We want to show the community the circumstances of the poor civilization. Not just a picture of a point, but all information over the globe in a diagram where you can easily read the information from and compare with other countries. You can see on the first sight, which countries need more assistance to reach better results. Different questions can be saved, like: Are there any dependencies, which affect different countries? Which continent has more access? How much has it been grown in the last few years (max. to 1990)?

Visualization design

We chose the Job Voyager[3] as a design output, to represent the stacked time series of the reported sampled data. The data which should be shown can be filtered by population and its attribute. A characteristic of the area under the drawn line in the chart is, that it shows us the bigger it is the bigger is it's value. So you are able to see the countries in the chart, which have better prospects. Furthermore the user has a interaction with the visualization by moving his mouse over the chart. So the user has the facility to choose the continent bye mouse-over and look at it's countries. In the left upper corner of the site, the actual name of the country gets shown, by moving the mouse over the area of this country. The measured values of the different years are not shown just on the y-axis, but also on every point of time in the chart.

Figure 1: visualization

advantages

  • the ability to extend the chart
  • main information on one site
  • fluently workflow
  • dependencies on different variables
  • big dataset, as a smart visualization

disatvantages

  • big numbers, hard to represent
  • many countries in one chart confuses sometimes
  • details hard to read
  • sometimes difficult to find a specific country




Conclusion

The chosen visualization focuses on time oriented data. Main focus was to show the development of the specific attributes over time. Overall the visualization satisfies this purpose in an easy readable way.

References

[1] [Unicef, 2010] Unicef. Progress on Sanitation and drinking-water: 2010 Update. World Health Organization and UNICEF 2010, 1–55, 2010.
[2] [WHO, Unicef, 2003-2010] WHO - UNICEF. Protovis: Joint Monitoring Programme (JMP) for Water Supply and Sanitation. Created at: 1990. Retrieved at: January 15, 2011. http://www.wssinfo.org/data-estimates/table/.
[3] [Bostock, Heer, 2009] Michael Bostock and Jeffrey Heer. Protovis: A graphical tool for visualization. Created at: March 31, 2009. Retrieved at: January 15, 2011. http://vis.stanford.edu/protovis/ex/jobs.html.