This visual data mining case study is based on open data published by Statistics Finland. The original data set explained on this page (set 7) contains information about rates of indebtedness in different regions of Finland.
The 3d heatmaps shown below are generated with the HeatMiner® visual data mining tool. Visualizations illustrate differences between major regions of Finland. For example, the first heatmap shows attribute combinations which are more frequent in the Finnish Capital Region than in other parts of Finland. Colors ranging from blue to red indicate the significance of differences. Combinations wherein other regions dominate are shown only with a wire frame.
The observations and conclusions presented for each region are totally based on quick visual analysis without further background information or deeper studies. So, they are just unproven theories made by amateurs and have not (yet) been verified by experts on this field.
Visual data mining is not about proving - it's about pointing your attention into right place and leading your thoughts to explain what you see. Anyone can create convincing hypotheses simply by looking and rotating the 3d view. HeatMiner helps you to identify plausible theories which can then be proven or disproven with other statistical tools. That's the power of visual data mining!
Feel free to comment and present your own observations and theories!
Click the images to open a full page 3d model which can be rotated by mouse. Press ALT to zoom and 's' to save a snapshot image. (3d views not yet available for smart phones or iPads)
Having really high rate of indebtedness seems to be quite common for persons living near Helsinki. Especially we should be worried about the recent development among middle-aged people (the red spot). On the other hand, there are also citizens with very low debt ratio. This indicates that living in the capital region widens the gap between the rich and the poor.
Southern Finland seems very similar to the Capital Region except the low-debt group is missing.
Indebtedness among young people in Western Finland has increased more rapidly than in other parts of Finland. However, similar phenomenon is not visible for older people. Did they pay their debts or move to Helsinki?
In 2002, there is a red peak at indebtedness=100 and age=40. In 2010, the peak is still visible but has moved towards older people. Maybe it is the same group of individuals that just got older?
Northern Finland is very similar to Eastern Finland, but rate of indebtedness is a bit higher. Lower salaries or unemployment?
The island of Aland seems to be populated by older people. High indebtedness rates are common especially for 35-44 old persons and this situation has gone worse during the last few years.
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