Fig. 13. The average of index scores by index, by sampler and for all laboratories.Figure optionsDownload full-size imageDownload as PowerPoint slide
6.2. Temporal multiscale analysis
Temporal multiscale analyses are possible through different temporal aggregation levels contained in both temporal hierarchies (cf. Section 5.1.2). An example of a temporal query Altiratinib described next.
Query 3 (Fig. 14). This query represents the average index scores (the “Average_index_score” indicator values), by index, by year (a temporal scale), and for all samplers. The results are displayed with a pivot table representation in Fig. 14(a) and a histogram representation in Fig. 14(b). For more readability, we consider only the years between 2000 and 2010. Fig. 14(a) shows a visualization of results using a pivot table where the dimensions “Indices” and “Suppliers” (“all suppliers” member) are placed in columns and the “Time” dimension in rows. Fig. 14(b) shows a pie chart diagram representation of these results (a diagram per index), which allows a rapid viewing of the distribution of scores of every index over the time period considered (2000 to 2010).
6.2. Temporal multiscale analysis
Temporal multiscale analyses are possible through different temporal aggregation levels contained in both temporal hierarchies (cf. Section 5.1.2). An example of a temporal query Altiratinib described next.
Query 3 (Fig. 14). This query represents the average index scores (the “Average_index_score” indicator values), by index, by year (a temporal scale), and for all samplers. The results are displayed with a pivot table representation in Fig. 14(a) and a histogram representation in Fig. 14(b). For more readability, we consider only the years between 2000 and 2010. Fig. 14(a) shows a visualization of results using a pivot table where the dimensions “Indices” and “Suppliers” (“all suppliers” member) are placed in columns and the “Time” dimension in rows. Fig. 14(b) shows a pie chart diagram representation of these results (a diagram per index), which allows a rapid viewing of the distribution of scores of every index over the time period considered (2000 to 2010).