large quantity of data

USAGE SUMMARY

The phrase "large quantity of data" is correct and usable in written English.
You can use it when referring to a significant amount of information or data in various contexts, such as research, analysis, or data management. Example: "The study required a large quantity of data to draw accurate conclusions about the population's behavior."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

One advantage Chinese researchers have as they try to solve these problems is a large quantity of data.

MIT Technology Review

Whole-genome association studies present many new statistical and computational challenges due to the large quantity of data obtained.

The American Journal of Human Genetics

Design of this artificial neural network is capable of memorizing large quantity of data and recalling the same from available information.

Materials Today: Proceedings

The results of the proposed algorithm can efficiently embed a large quantity of data, up to 12 bpp (bits per pixel), with better image quality.

Applied Soft Computing

This activity led us to raise the question of how we can manage the sound, physiological and clinical data of such a large quantity of data.

Speech Communication

A large quantity of data and empirical studies focusing on building restrictions and housing prices refer to the American real estate market.

Procedia - Social and Behavioral Sciences

The outcome was a large quantity of data that provided deep insight into the food-related experiences of parents of overweight children.

Appetite

In this paper, we have focused on optimizing the process for managing a large quantity of data transmitted via network sockets that use the Transmission Control Protocol.

Transportation Research Part C: Emerging Technologies

This paper describes empirical models of sonar time-of-flight, derived from a large quantity of data collected with a single Polaroid ultrasonic rangefinder.

Robotics and Autonomous Systems

The effort resulted in over 4,000 calls and the team found themselves overwhelmed, unable to support that many network members and unable to learn substantively from the large quantity of data.

Massachusetts Institute of Technology

A large quantity of data now supports the notion that short linear motifs (SLiMs), which are protein interaction modules enriched within intrinsically disordered regions, are key for the functional diversification of these isoforms.

Trends in Biochemical Sciences

Expert writing Tips

Best practice

When discussing the implications of "large quantity of data", be specific about the challenges it poses, such as storage, processing, and analysis. For example, instead of saying 'Managing the "large quantity of data" was difficult', specify 'Managing the "large quantity of data", exceeding 1 terabyte, required a specialized database system'.

Common error

Avoid simply stating that there's a "large quantity of data" without considering the infrastructure and tools needed to handle it. A common mistake is collecting massive datasets without a clear plan for analysis, which can lead to wasted resources and unfulfilled research goals. Always plan processing and analysis workflows before data collection.

Linguistic Context

The phrase "large quantity of data" functions as a noun phrase, typically serving as the object of a verb or preposition. It describes the amount of information being discussed. Ludwig shows numerous examples in various contexts where this phrase quantifies the data being analyzed or managed.

Expression frequency: Very common

Frequent in

Science

76%

Academia

11%

News & Media

8%

Less common in

Formal & Business

5%

Ludwig's WRAP-UP

The phrase "large quantity of data" is a grammatically correct and commonly used expression to describe a significant amount of information. Ludwig AI confirms its broad applicability, particularly in scientific, academic, and news contexts. While the phrase is straightforward, effective communication involves understanding its implications and the methods required to manage and analyze it. When using the phrase "large quantity of data", consider specifying the nature of the challenges posed by its scale and explore semantically similar alternatives to enhance clarity and precision. Recognizing common errors, such as overlooking efficient processing methods, can further refine writing and ensure effective communication of data-related concepts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

substantial volume of data

Replaces "quantity" with "volume" and "large" with "substantial", emphasizing the magnitude of the data.

extensive dataset

Uses the term "dataset" to refer to the collection of data and "extensive" to describe its size.

vast amount of information

Shifts the focus from "data" to "information", using "vast" to indicate a large scale.

massive data collection

Emphasizes the process of gathering data on a large scale.

huge accumulation of data

Highlights the gathered nature of the data, suggesting it has built up over time.

considerable body of data

Presents the data as a unified "body", implying a more organized and structured collection.

bulk of data

Implies that the amount of data available is big enough to represent the biggest part of the content available.

extensive data resources

Shift the focus from quantity to available resources for data analysis.

comprehensive data set

Indicates that the amount of data available is detailed enough to represent a complex phenomenon or subject.

high volume of data

Focuses on the speed at which the data is being generated rather than the magnitude of the data itself.

FAQs

How can I effectively manage a "large quantity of data"?

Effective management involves several steps: secure data storage, implementation of efficient data processing techniques (such as parallel computing or cloud-based solutions), and the use of appropriate analytical tools. Consider data compression, cleaning, and validation techniques to maintain data quality.

What are the implications of working with a "large quantity of data" in research?

Handling a "large quantity of data" in research requires careful planning and robust statistical methods. It may necessitate advanced computational resources, specialized software, and expertise in data analysis to extract meaningful insights. Moreover, ethical considerations regarding data privacy and security become paramount.

What can I say instead of "large quantity of data"?

You can use alternatives like "substantial volume of data", "extensive dataset", or "vast amount of information" depending on the context.

What type of analysis is suitable for a "large quantity of data"?

Machine learning techniques, such as neural networks and support vector machines, are particularly well-suited for analyzing "large quantity of data". Statistical methods like regression analysis and cluster analysis can also be effective, provided that computational resources are adequate. Big data analytics platforms (e.g. Hadoop, Spark) are often used to process and analyze extremely large datasets.