data was small

USAGE SUMMARY

The phrase "data was small" is correct and usable in written English.
It can be used when discussing the size or amount of data in a specific context, such as research or analysis. Example: "In our study, we found that the data was small, which limited the scope of our conclusions."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

28 human-written examples

The sample size of Journalism Online's data was small — about two dozen mostly small- and medium-size papers that had been charging readers for several months — so divining any potential pattern for large newspapers is difficult.

The New York Times

The size of the treated sample, especially the subsample of patients with complete data, was small.

Progress in Orthodontics

The difference between the algorithms for the velocity data was small under low noise conditions.

Flow Measurement and Instrumentation

In past medical data was collected manually by handwritten, dictated or incomplete, this data was small for predictive modeling.

Journal of Big Data

Second, the number of time periods in our data was small (only five), and we were not able to include years of large business cycle swings.

IZA Journal of Labor Policy

In our study it turned out to be 7 because the application from which we collected data was small and only 20% of the RA was reused.

Journal of Software Engineering Research and Development

Human-verified similar examples from authoritative sources

Similar Expressions

32 human-written examples

However, the number of recalls from real data was smaller than that expected from the computational simulation.

BMC Systems Biology

The sufficient number in the medaka data was smaller than that in the human data presumably because epigenetic state signals in the medaka data were clearer.

BMC Genomics

If the dispersion of data is small, the data will be considered to be normal.

EURASIP Journal on Wireless Communications and Networking

Their system was shown to outperform HSMM when the amount of training data is small.

EURASIP Journal on Audio, Speech, and Music Processing

It is difficult to evaluate the normality because the number of our data is small.

Research and Practice in Technology Enhanced Learning

Expert writing Tips

Best practice

When stating that "data was small", always provide context about the impact this has on your analysis or conclusions. For instance, explain how the small amount of data limits the generalizability of your findings.

Common error

Avoid making broad claims or generalizations when you know the "data was small". Acknowledge the limitations of the dataset and temper your conclusions accordingly.

Linguistic Context

The phrase "data was small" functions as a descriptive statement, quantifying the amount of data available. Ludwig AI confirms it is acceptable and usable in written English. It describes a characteristic of the data set being analyzed.

Expression frequency: Uncommon

Frequent in

Science

85%

News & Media

10%

Formal & Business

5%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "data was small" is a grammatically correct and usable expression in English, commonly employed within scientific and academic writing to highlight limitations in the data. Ludwig AI states that the phrase is accurate and provides relevant examples. When using this phrase, it's crucial to provide context about the impact on your analysis and avoid overgeneralizing from the limited data. While the phrase indicates a formal register, it’s suitable for professional communication when discussing the scope and reliability of your findings. Alternatives include phrases such as ""data set was limited"" or ""sample size was insufficient"".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data set was limited

Emphasizes the restricted nature of the data set, often implying constraints on analysis.

data volume was low

Focuses on the quantitative aspect, indicating a reduced amount of data.

sample size was insufficient

Specifically points out that the sample size is not large enough to allow statistically reliable conclusions.

amount of data was minimal

Highlights the extremely small quantity of data available.

data pool was restricted

Implies limitations in the source from which the data is drawn.

data set was constrained

Suggests external restrictions or limitations affected the dataset's size.

limited data availability

Focuses on the scarcity and potential impact on research or analysis.

data set was not extensive

Indicates a lack of comprehensive information within the data.

data scale was reduced

Highlights the diminished scale or scope of data being considered.

data was scarce

Conveys the rarity and difficulty of obtaining sufficient data.

FAQs

What does it mean when the data is described as "small"?

When someone says the "data was small", it typically means the amount of available information is limited. This can affect the reliability and scope of any analysis or conclusions drawn from the data.

How does having "data was small" impact research outcomes?

A "small data" set can lead to statistically insignificant results or limit the ability to detect meaningful patterns. It's important to acknowledge this limitation when interpreting research findings.

What are some alternatives to saying "data was small"?

Depending on the context, you could say the "data set was limited", the "sample size was insufficient", or the "amount of data was minimal".

Is it always a problem if "data was small"?

Not necessarily. In some cases, even with limited data, you can still derive valuable insights or observe clear trends. However, it's crucial to be cautious about overgeneralizing or drawing firm conclusions from a "small" dataset.