Teaching:TUW - UE InfoVis WS 2010/11 - Gruppe 05 - Aufgabe 3: Difference between revisions
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=== Introduction === | === 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, 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. | |||
=== | === dataset analysis === | ||
progress on | The dataset 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 filled in, we just take the completed. | |||
The application area is the progress on all datasets, which leaves us to a multidimensional datastructure. | |||
* multivariate | * multivariate | ||
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**** shared | **** shared | ||
**** other | **** other | ||
=== users === | === users === | ||
... | We declare the doctors and experts of preparing the sources of drinking water as the target audience of the visualization. | ||
But users 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. | |||
=== tasks === | === tasks === | ||
Revision as of 03:18, 17 January 2011
interactive visualization
... whatever ...
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, 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.
dataset analysis
The dataset 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 filled in, we just take the completed.
The application area is the progress on all datasets, which leaves us to a multidimensional datastructure.
- multivariate
- temporal
- numeric
- hierarchies
- countries < continents
- all data (totals)
- urban
- rural
- water
- improved (totals)
- piped
- other improved
- improved (totals)
- sanitation
- unimproved (totals)
- open defecation
- shared
- other
- unimproved (totals)
users
We declare the doctors and experts of preparing the sources of drinking water as the target audience of the visualization. But users 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.
tasks
...
visualization design
...
Conclusion
...
References
...