Quick Answer: What Is The Difference Between Aggregate And Disaggregated Data?

What is an example of an aggregate?

The word group is sometimes confused with the word aggregate.

An aggregate is a collection of people who happen to be at the same place at the same time but who have no other connection to one another.

Example: The people gathered in a restaurant on a particular evening are an example of an aggregate, not a group..

What is an example of aggregate data?

For example, graduation rates are widely considered to be “aggregate data,” while graduation rates reported for different subgroups of students—say, for students of different races and ethnicities—is typically considered to be “disaggregated data.” Yet to produce reports that disaggregate graduation rates by race and …

How do you aggregate data?

Data aggregation is the process of gathering data and presenting it in a summarized format. The data may be gathered from multiple data sources with the intent of combining these data sources into a summary for data analysis.

Why is data aggregation important?

By aggregating all the data points, we can identify the source of traffic and see how they progress through the customer journey. In turn, that helps us understand the actual value of the marketing activity.

What is the aggregation?

1 : a group, body, or mass composed of many distinct parts or individuals A galaxy is an aggregation of stars and gas. 2a : the collecting of units or parts into a mass or whole. b : the condition of being so collected. Other Words from aggregation More Example Sentences Learn More about aggregation.

What does disaggregated mean?

transitive verb. : to separate into component parts disaggregate sandstone disaggregate demographic data. intransitive verb. : to break up or apart the molecules of a gel disaggregate to form a sol.

What is the result of disaggregation?

Generally speaking, data is disaggregated for the purpose of revealing underlying trends, patterns, or insights that would not be observable in aggregated data sets, such as disparities in standardized-test scores or enrollment patterns across different categories of students, for example.

What is aggregate used for?

Aggregate, in building and construction, material used for mixing with cement, bitumen, lime, gypsum, or other adhesive to form concrete or mortar. The aggregate gives volume, stability, resistance to wear or erosion, and other desired physical properties to the finished product.

What is another word for aggregate?

SYNONYMS FOR aggregate 1 added, complete, whole. 8 assemble, amass, accumulate, gather.

What is a aggregate symbol?

1.2.5 Aggregate. The aggregate is indicated by the symbol M if the candidate has met with all the requirements for an endorsement for university admission, and the symbol S in all other cases.

What is the meaning of disaggregated data?

Disaggregating data means breaking down information into smaller subpopulations. For instance, breaking data down into grade level within school aged students, country of origin within racial/ethnic categories, or gender among student populations are all ways of disaggregating data.

What is data aggregation in healthcare?

In a nutshell, data aggregation is the process of combining information from multiple databases to produce cohesive, shareable information. When it comes to healthcare data, the benefits of sharing are plentiful.

Is disaggregate a word?

Disaggregate is defined as to break apart or separate. An example of disaggregate is to dissect an organism. To divide into constituent parts. To break up or break apart.

Why is it important to aggregate and display healthcare data?

Aggregate Data and Healthcare It allows healthcare professionals to to identify common characteristics that might predict the course of the disease or provide information about the most effective way to treat a disease. It is often used for disease prevention purposes.

What is aggregation in data science?

Data aggregation is the process where raw data is gathered and expressed in a summary form for statistical analysis. For example, raw data can be aggregated over a given time period to provide statistics such as average, minimum, maximum, sum, and count.