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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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it is ideal for data analysis

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "it is ideal for data analysis" is correct and usable in written English.
You can use it when describing a tool, method, or environment that is particularly well-suited for analyzing data. Example: "The new software has advanced features that make it ideal for data analysis, allowing users to extract insights quickly and efficiently."

✓ Grammatically correct

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

It is ideal for analysis, data rescue, forensic work, removal of viruses on Win-PCs – or simply for safe surfing and mailing in an internet cafe.

News & Media

TechCrunch

It is ideal for crewel embroidery projects.

It's ideal for trekking.

It's ideal for ham-fisted DIYers.

News & Media

Independent

It's ideal for cruising.

News & Media

Forbes

It was ideal for us.

News & Media

Los Angeles Times

It's ideal for winter.

It's ideal for antique furniture restoration.

But they are ideal for data-rich applications such as wireless broadband.Or almost ideal.

News & Media

The Economist

Third, it is ideal candidate for short data sets.

Science

Energy

An ethnically homogeneous population is ideal for genetic analysis.

Science

BMJ Open
Show more...

Expert writing Tips

Best practice

When describing software or tools, follow "it is ideal for data analysis" with specific examples of features that make it so, such as processing speed or compatibility with certain file types.

Common error

Avoid using "it is ideal for data analysis" as a generic endorsement. Instead, ensure it aligns with concrete functionalities and benefits.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

60%

Authority and reliability

3.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "it is ideal for data analysis" functions as a descriptive statement. It qualifies a subject (often a tool, method, or environment) as being particularly well-suited or optimal for the activity of analyzing data. Although Ludwig doesn't provide direct examples, this phrase is commonly used to recommend or describe the suitability of certain resources for data analysis tasks.

Expression frequency: Missing

Frequent in

Science

0%

News & Media

0%

Formal & Business

0%

Less common in

Science

0%

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "it is ideal for data analysis" is a grammatically correct phrase used to describe something that is particularly well-suited for data analysis. As Ludwig AI indicates, the phrase itself is sound but the lack of real world examples suggests limited visibility. When using this phrase, ensure that it's supported by concrete reasons and specific features. Alternative phrases like "perfectly suited for analyzing data" or "optimally designed for data analysis tasks" can add variety to your writing.

FAQs

How can I use "it is ideal for data analysis" in a sentence?

You can use "it is ideal for data analysis" to describe a tool, technique, or environment that is particularly well-suited for examining and interpreting data. For example, "This software is ideal for data analysis because of its advanced statistical functions".

What are some alternatives to "it is ideal for data analysis"?

Is "it is ideal for data analysis" formal or informal?

"It is ideal for data analysis" is generally neutral and can be used in both formal and informal contexts, although it's more common in professional or technical writing. The formality depends on the surrounding vocabulary and the specific audience.

What makes something "ideal" for data analysis?

Something is "ideal for data analysis" if it possesses features or characteristics that facilitate efficient, accurate, and insightful data processing. This could include powerful processing capabilities, specialized algorithms, user-friendly interfaces, or compatibility with various data formats.

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Real-world application tested

Most frequent sentences: