more data points

USAGE SUMMARY

The phrase "more data points" is correct and usable in written English.
It can be used when discussing the need for additional pieces of information or measurements to support analysis or conclusions. Example: "To improve the accuracy of our model, we need to collect more data points from various sources."

✓ Grammatically correct

Science

News & Media

Academia

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Get more data points.

Massachusetts Institute of Technology

We need more data points.

University of California, Berkeley

And then this week, a couple more data points.

The Guardian - Tech

More data points also allow researchers to do detective work.

The Guardian - Lifestyle

"The more data points" on rain, Dr. Kean said, "the better we can understand the variability".

The New York Times - Science

The more data points you have, the more you can predict.

The Guardian - Tech

The more data points we can collect about the best performers, the better.

Harvard Business Review

That means more data points, and therefore a more accurate picture of the variation over time.

Nature

But I encourage parents of young girls to try to collect some more data points.

The New York Times

If it made people question your expertise, put more data points out there to rebuild their trust.

Harvard Business Review

This model also applied many more data points (89 in this study) to estimate parameters to reduce error.

Algal Research

Expert writing Tips

Best practice

When writing about statistical analysis or machine learning, use "more data points" to emphasize the need for a larger sample size to improve the reliability and accuracy of results. Be specific about the type of data and its relevance to the analysis.

Common error

Avoid assuming that simply having "more data points" automatically leads to better results. Consider the quality, relevance, and potential biases within the data. Ensure that proper data cleaning and validation procedures are in place before drawing conclusions.

Linguistic Context

The phrase "more data points" functions primarily as a noun phrase, often serving as the object of a verb or preposition. It indicates the need for a greater quantity of individual pieces of information or measurements. Ludwig confirms the validity and usability of this expression.

Expression frequency: Very common

Frequent in

Science

35%

News & Media

30%

Formal & Business

15%

Less common in

Academia

10%

Encyclopedias

5%

Reference

5%

Ludwig's WRAP-UP

In summary, "more data points" is a common and grammatically sound phrase used to highlight the need for additional information to enhance analysis and decision-making. According to Ludwig AI, the phrase is valid and usable. While prevalent across various domains, including science, news, and business, it's essential to consider data quality and relevance alongside quantity. Alternatives like "additional data" or "expanded dataset" may be suitable depending on the specific context. Understanding the nuances of data collection and analysis is crucial for effective communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

additional data points

Emphasizes the supplementary nature of the data.

further data points

Highlights the continuation of data collection.

more data samples

Highlights data as examples taken for consideration.

increased data volume

Focuses on the quantity of data rather than individual points.

expanded dataset

Refers to the collection of data as a whole.

more observations

Suggests a focus on empirical evidence.

wider range of data

Highlights the diversity and scope of the data.

additional information

A broader term encompassing any kind of relevant facts.

more input values

Relates specifically to data used as inputs in a model or system.

greater statistical power

Emphasizes the impact of more data on statistical analysis.

FAQs

How does having "more data points" improve analysis?

Generally, "more data points" can lead to more reliable results by reducing the impact of outliers and increasing statistical power. However, the quality and relevance of the data are equally important.

When is it not beneficial to have "more data points"?

Adding "more data points" may not be beneficial if the new data is biased, irrelevant, or of poor quality. In such cases, it can introduce noise and skew the analysis.

What are some alternatives to saying "more data points"?

Depending on the context, you can use alternatives like "additional data", "more observations", or "expanded dataset".

Is there a point where having "more data points" becomes redundant?

Yes, in some cases, once a statistically significant result is achieved, adding significantly "more data points" may provide diminishing returns. It's crucial to balance data quantity with the cost of acquisition and analysis.