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process. Figure 4.32 depicts this selective extraction, emphasising data
with increased mortality rates.
Figure 4.32 Query for data filtering of total death that exceeds 500000.
Throughout the subsequent phases of the transformation process,
aggregation pipelines are used to calculate important statistics, such as
the average rate of stroke-related deaths among various demographic
groups and during different time periods. These collections not only
help to identify patterns in health but also to confirm that the data is
consistent with the analytical objectives. Figure 4.33 illustrates these
groupings, providing a visual representation of the long-term patterns
in mortality due to strokes.
Figure 4.33 Query for average stroke death rate per year across all countries
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