| Clustering (43) |  |
| Data (486) | |
| Data analysis (6) | |
| Data gathering (7) | |
| Data mining (18) | |
| Database (127) | |
| Network analysis (12) | |
| Qualitative data (8) | |
| Quantitative data (13) | |
| Text mining (31) | |
| Clustering (43) | |
| Data (486) | |
| Data analysis (6) | |
| Data gathering (7) | |
| Data mining (18) | |
| Database (127) | |
| Network analysis (12) | |
| Qualitative data (8) | |
| Quantitative data (13) | |
| Text mining (31) | |
Statistical or econometric data analysis and interpretation of results. 3. 2. 2. Examples Although we cannot refer to a large number of regulation-and standard-related surveys,
Gill 25 provides a relevant and comprehensive account of Monte carlo simulation for data analysis. Fig. 2. Two realizations of the example hierarchical random graph.
as its interface facilitates data analysis, display of forecasting results and scenario analysis. For further details see Hughes et al.
Data analysis was highly iterative and used traditional approaches for inductive research (Eisenhardt 1989; Yin 2003.
B data analysis; and B discussion and dissemination of results. More than 2, 000 experts from 40 Russian regions took part in the Delphi survey,
or the engagement of a wider group of participants in data analysis (for the latter, see Cooke and Buckley 7). 3 In this regard,
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