exciting data

USAGE SUMMARY

The phrase "exciting data" is correct and usable in written English.
You can use it when referring to data that reveals interesting, surprising, or noteworthy findings in a particular context, such as research or analysis. Example: "The recent study provided exciting data that could change our understanding of climate change."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

43 human-written examples

"It's exciting data that is now capturing the imagination of people in the field".

The New York Times - Science

"For a life-long progressive disease like MS with few treatment options this is really exciting data.

The Guardian

"This is very exciting data," said Dr. Joseph Pilewski, adult cystic fibrosis physician at the University of Pittsburgh Medical Center.

The New York Times

In a news release, the company has promised that exciting data will be announced there that may explain how Actimmune works.

The New York Times

Dr. Kari Stefansson, the company's founder and research director, agreed that whole genome sequencing would "give us a lot of extremely exciting data".

The New York Times - Science

Dr. Campbell D. K. Rogers, chief technology officer of Cordis, Johnson & Johnson's stent-making subsidiary, said that the preliminary tests combining the CoStar design with sirolimus had produced "promising and extremely exciting data".

The New York Times

Human-verified similar examples from authoritative sources

Similar Expressions

16 human-written examples

The questions are exciting, the data limited, and, as I argue in closing, we need creative insights into the ways in which behavioural plasticity has evolved and has in turn influenced the evolution of other aspects of phenotype.

Animal Behaviour

In the first segment we talked about the scary implications of this wave of companies, and in the second segment we talked about the sometimes-futuristic, exciting ways data could make our lives better.

TechCrunch

"This shift [to subscriptions] is so far showing some exciting early data, with consumer LTVs [lifetime value] rising to as far as about an order of magnitude above the previous business models, enabling the company to build an even more robust and deep set of tools and technologies to service their customers' creativity needs on mobile," a Lightricks rep explained.

TechCrunch

It was January 2012 and SAP had recently announced some very compelling new technology, an exciting new data management system called HANA.

Huffington Post

But, he added, "there is an apparent discrepancy between the number of impacts in this size range being higher than previously thought … and I think this is exciting new data and more work needs to be done to settle that size discrepancy".

Los Angeles Times

Expert writing Tips

Best practice

When presenting "exciting data", contextualize its significance for your audience. Explain why the data is exciting and what impact it might have on their understanding or actions.

Common error

Avoid using "exciting data" when the data is only marginally interesting or relevant. Overusing the term can diminish its impact and credibility; ensure the data truly warrants the description.

Linguistic Context

The phrase "exciting data" functions primarily as a descriptive element, where the adjective "exciting" modifies the noun "data". This suggests that the data possesses qualities that evoke interest or enthusiasm. Ludwig AI confirms its standard grammatical use.

Expression frequency: Common

Frequent in

Science

52%

News & Media

30%

Formal & Business

10%

Less common in

Academia

3%

Wiki

3%

Reference

2%

Ludwig's WRAP-UP

In summary, the phrase "exciting data" is a grammatically sound and commonly used expression to describe data that is interesting, surprising, or noteworthy. Ludwig AI confirms this assessment. Predominantly found in scientific and news-related contexts, its effective use involves contextualizing its significance for the audience and avoiding overuse. Related phrases, such as "promising data" or "intriguing data", offer alternative ways to convey the nature of the data. When writing, ensure that data warrants the "exciting" descriptor to maintain credibility and impact.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Promising data

Focuses on the potential or likelihood of positive outcomes indicated by the data.

Intriguing data

Highlights the data's capacity to arouse curiosity or interest.

Remarkable data

Emphasizes the data's unusual or noteworthy quality.

Significant data

Underscores the data's importance or consequence.

Compelling data

Suggests the data is persuasive or convincing.

Interesting findings

Shifts the focus from data to the implications derived from it.

Noteworthy results

Highlights the importance and attention-worthiness of outcomes.

Groundbreaking evidence

Emphasizes the innovative and transformative nature of the evidence.

Stimulating insights

Highlights the capacity of the data to provoke thought and new understanding.

Encouraging results

Indicates that the data inspires hope or confidence.

FAQs

How can I use "exciting data" in a sentence?

You can use "exciting data" to describe findings that are interesting or promising, such as: "The study revealed "exciting data" regarding the efficacy of the new treatment."

What are some alternatives to "exciting data"?

Alternatives include "promising data", "intriguing data", or "remarkable data", depending on the specific nuance you wish to convey.

Is it appropriate to use "exciting data" in formal writing?

Yes, "exciting data" is appropriate for formal writing, especially in scientific or business contexts, where it conveys the significance and potential impact of the findings. However, ensure that the data genuinely warrants such a description.

What makes data "exciting"?

Data is considered "exciting" when it reveals surprising insights, supports a new hypothesis, or suggests significant advancements in a particular field. It generally means that the data has the potential to change perspectives or practices.