gross data

USAGE SUMMARY

The phrase "gross data" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or research, typically referring to raw or unprocessed data that has not been cleaned or refined. Example: "Before we can analyze the trends, we need to review the gross data collected from the survey."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

13 human-written examples

It's possible that a new world order will emerge from it, along with a new "GDP" — gross data product —that captures an emerging measure of wealth and power of nations.

Harvard Business Review

The forms such trade or data-sharing agreements might take is yet to be determined; however, we can envision that they could be a distinct possibility especially when we recognize that gross data product has value just like any other product that is freely traded today.

Harvard Business Review

Figure 4 Gross data rates for different UE categories.

EURASIP Journal on Wireless Communications and Networking

Figure 3 Gross data rate for different channel profiles.

EURASIP Journal on Wireless Communications and Networking

Figure 4 shows the gross data rates for different UE categories, which reflect the capability for 16QAM, number of parallel codes and, interscheduling time.

EURASIP Journal on Wireless Communications and Networking

The cross-validation is verified by the existence of strong relationship between the estimate and gross data, as well as the small correlations between the estimated values and their errors.

Environmental Systems Research

Human-verified similar examples from authoritative sources

Similar Expressions

47 human-written examples

We spoke to app analytics firm Distimo, which examined grossing data on the App Store's leaderboards to determine where paid apps are doing well.

TechCrunch

92 points are compared and plotted in the scatter plot of gross thickness data and ordinary kriging estimation data.

Environmental Systems Research

92 points are compared and plotted in the scatter plot of gross thickness data and simple kriging estimation data.

Environmental Systems Research

92 points are compared and plotted in the scatter plot of gross thickness data and isotropic ordinary kriging estimation data.

Environmental Systems Research

92 points are compared and plotted in the scatter plot of gross thickness data and isotropic simple kriging estimation data.

Environmental Systems Research

Expert writing Tips

Best practice

When using "gross data", clarify the stage of data processing to avoid ambiguity. Specify whether the data is pre-analysis or post-collection to provide context to your audience.

Common error

Avoid using "gross data" without proper context, as it can be mistaken for finalized or cleaned data. Ensure that your audience understands that it refers to raw, unprocessed information and requires further refinement before drawing any definitive conclusions.

Linguistic Context

The phrase "gross data" primarily functions as a noun phrase referring to data in its raw, unprocessed state. As evidenced by Ludwig, it often precedes further analysis or refinement. It is used to describe initial datasets before any manipulation or cleaning.

Expression frequency: Common

Frequent in

Science

50%

News & Media

33%

Formal & Business

17%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "gross data" is a noun phrase primarily used to denote raw, unprocessed information, predominantly within scientific, news, and formal business contexts. Ludwig AI confirms its grammatical correctness and prevalent use in specifying the condition of data before analysis. While it's a common term, ensuring contextual clarity is vital to avoid misinterpretations. Related phrases like "raw data" and "unprocessed data" can serve as alternatives, maintaining a similar semantic focus. When writing, be sure to specify that the "gross data" requires further refinement and also avoid using it without a proper context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

raw data

Focuses on the unprocessed state of the data, emphasizing the lack of refinement.

unprocessed data

Highlights the fact that the data has not undergone any processing or manipulation.

unfiltered data

Highlights the absence of filters or cleaning processes applied to the data.

crude data

Synonymous, with a focus on the unrefined and potentially inaccurate state of the data.

aggregate data

Refers to data combined from several measurements, which is less focused on raw state.

initial data

Emphasizes the data's role as the starting point for analysis.

total data

Emphasizes the completeness of the data set, rather than its raw nature.

preliminary data

Similar to initial data, suggests that the data is subject to further analysis and refinement.

bulk data

Highlights the large volume of data involved, diverging slightly from the unprocessed aspect.

undigested data

Implies that data has not been thoroughly analyzed or understood.

FAQs

How is "gross data" used in statistical analysis?

"Gross data" serves as the foundation for statistical analysis, representing the initial, unrefined measurements collected before any processing or cleaning. It's crucial for identifying potential biases or outliers before further analysis.

What are some alternatives to "gross data"?

You can use alternatives like "raw data", "unprocessed data", or "unrefined data" to refer to data that has not been cleaned or analyzed.

When is it appropriate to use the term "gross data"?

Use "gross data" when you specifically want to emphasize that the data is in its initial, unaltered state and has not undergone any cleaning, filtering, or processing. This is especially relevant in research or statistical reports.

What's the difference between "gross data" and "net data"?

"Gross data" refers to the original, unprocessed data, while "net data" typically refers to data after deductions or adjustments have been made. For instance, in sales, gross sales are the total revenue before expenses, while net sales are after deductions.