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Aggregating data means to group data a certain way. Aggregating data at a certain scale of analysis means grouping the data into nations, cities, regions, or just looking at the Earth as a whole.
Utilizing a regional scale of analysis allows us to generalize data for an area larger than a country, which can help us understand that part of the world better. For example, you a regional scale of analysis might have the average life expectancy for each continent. While a national scale of analysis showing each country would give more detail about each one, a regional scale of analysis that just shows the average for each continent would mean you have less to analyze and it would make it easier to come to a conclusion. It presents all of the data on a grander scale, which makes it easier to understand the world in a more general way.
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The advantages of data aggregation include the provision of both consice and broad information coverage.
Data aggregation may simply be described as the process of collecting useful information relating to a particular or required finding and giving a summarized output in a concise format.
Aggregating data on a regional scale of analysis means that findings obtained from Analysing data can be applicable over a wide range of coverage.
Few of aggregating data on a regional scale includes :
- Cummulative summary of findings over a wider region.
- It provides a concise method producing a broader picture of the environment based on regions.
- It allows the measurement and observation of regional trends, hence helping Analyse trends, patterns and make regional correlation.
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