What is another word for aggregation?

In this page you can discover 32 synonyms, antonyms, idiomatic expressions, and related words for aggregation, like: accumulation, assembly, collection, congeries, aggregate, all, combination, gathering, cluster, cumulation and amassment.

What is the opposite of aggregated data?

To aggregate data is to compile and summarize data; to disaggregate data is to break down aggregated data into component parts or smaller units of data.

What is the antonym for?

an·​to·​nym ˈan-tÉ™-ËŒnim. : a word of opposite meaning. “Hot” and “cold” are antonyms.

What is a meaning of aggregation?

Definition of 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.

What is a non aggregate?

Non-Aggregated Personal Information means all information of the End User which is not in aggregated form and may be personally identifiable, which has been provided to the Company. Sample 1.

What does it mean to disaggregate data?

Disaggregated data refers to the separation of compiled information into smaller units to elucidate underlying trends and patterns.

What is raw and aggregated data?

RAW data means that you have all data points that was stored in Dynatrace. Aggregated data means that for example you will get data points for each 15 minutes with calculated AVG/MEDIAN etc for this timeframe.

What is the difference between microdata and aggregate data?

Aggregate data can be found in many formats, including: Beyond 20/20 tables, spreadsheets, databases, etc. Microdata consist of the data directly observed or collected from a specific unit of observation.

What happens when you aggregate or disaggregate the data?

Tableau aggregates data in your view by default. Now you see a lot of marks—one for each row in your original data source: When you disaggregate measures, you no longer are looking at the average or sum for the values in the rows in the data source. Instead, the view shows a mark for every row in the data source.

What is individual level data?

Individual level data refer to datasets that contain records with information about individual study participants, as opposed to aggregate data, which are data combined from several individuals.

What is a microdata?

Microdata is data on the characteristics of units of a population, such as individuals, households, or establishments, collected by a census, survey, or experiment.

What does aggregate mean in statistics?

An aggregation is a process in which numbers are gathered for statistical purposes and are expressed as one number. This could be in the form of a total or an average.

Why is aggregate data used?

Aggregate data are mainly used by researchers and analysts, policymakers, banks and administrators for multiple reasons. They are used to evaluate policies, recognise trends and patterns of processes, gain relevant insights, and assess current measures for strategic planning.

What is microdata and metadata?

Metadata (small m) is a general descriptive term, Microdata (big M) is the name of a particular technology. Microdata is a particular kind of metadata that can be attached to a particular kind of data (namely HTML) in a particular way (as defined by W3C’s Microdata spec).

What is microdata in SEO?

Microdata is a labelled, coded language that helps search engines like Google, Yahoo!, or Bing understand what is on a website through snippets that are placed in a website’s code. The reason behind using microdata is a simple concept: semantics searching.

What is microdata markup?

Microdata is a specification to embed machine-readable data in HTML documents. Microdata consists of name-value pairs (known as items ) defined according to a vocabulary. A collection of commonly used markup vocabularies are provided by schema.org.

Is JSON structured data?

JSON is a widely used format that allows for semi-structured data, because it does not require a schema. This offers you added flexibility to store and query data that doesn’t always adhere to fixed schemas and data types.

What is schema markup?

Schema markup is code that helps search engines to understand your content and better represent it in the search results. You’ve probably already encountered marked-up content in the form of rich snippets: But schema markup can do more than that and help your SEO in other ways.