complex data

USAGE SUMMARY

The phrase "complex data" is correct and usable in written English.
It can be used when referring to data that is intricate, multifaceted, or difficult to analyze due to its structure or the relationships within it. Example: "The research team struggled to interpret the complex data collected from the various sensors."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The complex data has the following features: (1) Complexity sequence.

EURASIP Journal on Embedded Systems

"One had lots of complex data," he said.

The New York Times

Our analysts piece together complex data and produce insightful reports".

The Guardian

A simple, good-looking interface for some complex data.

The Guardian - Tech

Has this fact made you more likely to trust your gut when reading complex data?

The New York Times - Magazine

Analytics conjures up an image of IT boffins sifting through complex data.

The Guardian

Statistics are hard to understand, and making sense of complex data is difficult and time-consuming.

The Guardian

Graduates need to analyse complex data and draw on their knowledge to design interventions.

The Guardian

Flourish: Allows brands to connect multiple live data feeds and create complex data visualisations.

The Guardian

Of course, these problems are complex; data is no magic bullet.

The Guardian

Simple, concise messages are difficult to extract from messy, complex data.

The Guardian

Expert writing Tips

Best practice

Use visualizations to simplify the presentation of "complex data" and make it more accessible to a wider audience.

Common error

Avoid using vague or generic terms to describe "complex data". Instead, provide concrete examples or specific details to illustrate its complexity.

Linguistic Context

The phrase "complex data" primarily functions as a noun phrase, where "complex" acts as an adjective modifying the noun "data". It serves to describe data that is intricate, multifaceted, or challenging to analyze. Ludwig AI confirms this usage through numerous examples.

Expression frequency: Very common

Frequent in

News & Media

50%

Science

40%

Formal & Business

10%

Less common in

Encyclopedias

0%

Reference

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "complex data" is a common and grammatically correct term used to describe data that is intricate and challenging to analyze. Ludwig AI confirms its wide applicability across various fields. Its usage spans from news and media to scientific research, indicating its versatility. While alternatives like "complicated data" and "intricate data" exist, "complex data" remains a standard choice for conveying the notion of multifaceted information. When using this phrase, it's beneficial to specify the aspects that contribute to its complexity and employ visual aids to enhance understanding.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

complicated data

Replaces "complex" with a more common synonym, maintaining the same meaning.

intricate data

Emphasizes the detailed and interwoven nature of the data.

sophisticated data

Highlights the advanced or refined nature of the data.

multifaceted data

Focuses on the many aspects or dimensions of the data.

challenging data

Indicates that the data is difficult to analyze or interpret.

convoluted data

Suggests the data is complex and difficult to follow or understand.

problematic data

Highlights issues or difficulties associated with the data.

difficult data

A simpler way to express that the data is not easy to handle.

unwieldy data

Indicates that the data is difficult to manage or process due to its size or complexity.

dense data

Emphasizes the high concentration of information within the data.

FAQs

How can I effectively present "complex data"?

Consider using visual aids such as charts, graphs, or interactive dashboards. Tools like Flourish can help create "complex data visualisations" that are easier to understand.

What are some alternatives to the phrase "complex data"?

Depending on the context, you can use phrases like "complicated data", "intricate data", or "sophisticated data" to convey a similar meaning.

What skills are needed to analyze "complex data" effectively?

Analyzing "complex data" often requires skills in statistics, data mining, and programming. Expertise in using tools like Hadoop and Spark can also be beneficial.

In what fields is the analysis of "complex data" particularly important?

The analysis of "complex data" is crucial in fields like finance, healthcare, and marketing, where large volumes of data need to be processed to identify trends and patterns.