What is the meaning of Data Aggregation?

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Accepted Answer

Data aggregation refers to the process of combining and summarizing data from multiple sources into a single dataset.

Data aggregation involves collecting and merging data from various sources.
It aims to provide a consolidated view of the data for analysis and reporting.
Aggregated data is typically summarized using statistical functions like sum, average, count, etc.
Examples of data aggregation include calculating total sales by region, average customer age, or sum of website visits per day.

Accepted Answer

Data aggregation refers to the process of combining and summarizing data from multiple sources into a single dataset.

Data aggregation involves collecting and merging data from various sources.
It aims ...read more

Data aggregation can involve various operations, such as calculating averages, sums, counts, or percentages for groups of data based on specific criteria, such as time periods, categories, or locations. Aggregated data can be used to identify trends, patterns, or relationships within the data, which can provide valuable insights for decision-making and strategic planning.

Examples of data aggregation include:

Combining sales data from multiple stores to calculate total sales for a region or product category
Summarizing website traffic data by day, week, or month to identify peak usage times or popular pages
Calculating average scores on a survey question across different demographic groups, such as age or gender

Overall, data aggregation is a key technique in data analysis and can help organizations make better use of their data to improve decision-making and performance.

What is the meaning of Data Aggregation?

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