clarity of the data

USAGE SUMMARY

The phrase "clarity of the data" is correct and usable in written English.
It can be used when discussing the quality or comprehensibility of data in various contexts, such as research, analysis, or reporting. Example: "The clarity of the data presented in the report allowed for more accurate conclusions to be drawn."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

"The impact has been significant from what we've seen so far – just the clarity of the data has made people want to get up and do something".

The Guardian

However, bar graphs were plotted for lesion size, the contribution of PDGFRα-cell derived myelin to total myelin, g-ratio frequency and BMS scores to increase clarity of the data.

Nature

In this and many other cases, the strength and clarity of the data is key to a recommendation getting accepted.

Forbes

SNCF gave 100% reachability for all node densities and playground sizes considered and this data is not shown in the graph for the clarity of the data points.

EURASIP Journal on Wireless Communications and Networking

RTK-GPS buoys, which are installed 2 20 km off the coast of Japan, have only sampled two tsunami events to date for which the clarity of the data was sufficient data for use in assessing tsunami height: the 2003 Tokachi-oki earthquake tsunami (Nagai and Ogawa, 2004) and the 2004 earthquake tsunami off the Kii peninsula (Kato et al., 2005; Nagai and Satomi, 2005).

Earth, Planets and Space

Thus, in this paper, we recognize only the three species as comprising Prospero for the clarity of the data interpretation.

BMC Evolutionary Biology

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

Factors that facilitated data sharing in ENGAGE included good collaboration (77%), good technical solutions (38%) and clarity of the data-sharing policy (31%).

European Journal of Human Genetics

One is that my understanding of the clarity of this data is not quite as strong as Arne's.

The New York Times

To increase the clarity of the diagram, data collected at two temperatures (37°C and 27°C) are included.

Protein & Cell

Gay marriage is still about defining an emotional commitment between people, but the Apple "family" is a purely economic construct whose defining characteristic is the clarity of the resulting data and the ease of revenue growth!

Forbes

We now give two examples of how a lack of clarity about the data generating process can result in biased analysis, 54 before describing in the following section how this can be overcome.

BMJ Quality and Safety

Expert writing Tips

Best practice

When presenting data, ensure your visualizations (charts, graphs) directly support the "clarity of the data". Use labels, legends, and annotations effectively to guide the reader's understanding.

Common error

Avoid using overly complex charts or graphs that obscure the "clarity of the data". Simpler visualizations are often more effective at conveying information clearly.

Linguistic Context

The phrase "clarity of the data" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes a quality or characteristic of data, indicating how easily it can be understood. As Ludwig AI confirms, its usage is grammatically correct and serves to emphasize the comprehensibility of information.

Expression frequency: Uncommon

Frequent in

Science

66.66%

News & Media

25%

Formal & Business

8.33%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "clarity of the data" refers to the ease with which data can be understood and interpreted. Grammatically correct, its use is particularly relevant in scientific, news, and business contexts. As Ludwig AI points out, emphasizing data clarity is crucial for facilitating insights and informed decision-making. Best practices include utilizing clear visualizations and straightforward presentation methods, while common errors involve overcomplicating data displays. Alternatives like "data understandability" or "data transparency" can be used to convey similar meanings. By prioritizing understandability, data becomes a powerful tool for knowledge and action.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data understandability

Focuses on how easily the data can be understood.

data transparency

Highlights the openness and accessibility of the data, focusing on its availability for scrutiny and understanding.

data intelligibility

Emphasizes the quality of being easily understood or comprehended, stressing ease of mental grasp of the data.

precision of the data

Shifts focus to the accuracy and exactness of the data.

accuracy of the data

Emphasizes how correct or free from error the data is.

explicitness of the data

Highlights how clearly and directly the data is presented, leaving no room for ambiguity.

interpretability of the data

Focuses on how easily the data can be interpreted or explained.

data lucidity

Stresses the ease of understanding due to its clearness.

data accessibility

Emphasizes the degree to which the data is available and easy to obtain.

level of data granularity

Refers to the depth and detail to which the data is represented, indicating its fineness.

FAQs

How can I improve the "clarity of the data" in my reports?

Focus on using clear labels, consistent units, and straightforward visualizations. Avoid jargon and define any technical terms that might not be familiar to your audience. Consider using "data visualization" techniques to aid understanding.

What does "clarity of the data" mean in data analysis?

It refers to how easily the data can be understood and interpreted. Data with high "clarity" is free from ambiguity and presented in a way that facilitates insights and decision-making. Aim for "data understandability".

What is the difference between "clarity of the data" and accuracy of the data?

"Clarity" refers to how easily data can be understood, while accuracy refers to how correct the data is. Data can be accurate but lack "clarity" if it is presented poorly, and vice versa. The "accuracy of the data" is important, but so is the way it is displayed.

What factors affect the "clarity of the data"?

Factors such as the choice of visualization, the use of labels and annotations, the consistency of units, and the level of detail all affect "clarity". Poorly designed visuals or inconsistent formatting can obscure the meaning of the data.