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The equipment profiles in 2008 are shown in Table 1.
The equipment profiles perform very similarly in 2014 in comparison to 2008, as seen in Table 2.
The regional equipment profile expresses the mean share of all the equipment profiles in each region, as shown in Table 3.
The regional equipment profiles demonstrate the average localisation of the equipment types according to the self-governing regions, as shown in Table 4.
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To examine the profile of the self-governing regions from with regard to equipment type, a regional equipment profile is applied.
To analyse the distribution of the devices throughout the Slovak Republic, we quantify an equipment profile for each type of equipment in 2008 and in 2014.
The equipment profile is calculated as follows [24]: {EP}_{e;r}=frac{n_{e;r}}{sum limits_{r=1}^c{n}_{e;r}}, (1 where the variables are as follows: EP e; r – equipment profile of the e equipment type in the r self-governing region; e – the equipment type; r – the self-governing region; n e; r – number of the e equipment type in the r self-governing region; c – number of the self-governing regions.
REP r – regional equipment profile of the r self-governing region; t – number of the equipment types; e – the equipment type; r – the self-governing region; n e; r – number of the e equipment type in the r self-governing region; c – number of the self-governing regions.
EP e; r – equipment profile of the e equipment type in the r self-governing region; e – the equipment type; r – the self-governing region; n e; r – number of the e equipment type in the r self-governing region; c – number of the self-governing regions.
Figure 2 presents an analysis of the equipment row profiles.
Fig. 2 Chi-square distances of equipment row profiles.
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