148 Another Word for Interpreted Data? – Interpreted Data Synonyms & Antonyms

Want to say interpreted data differently? Here are other words for interpreted data and its similar synonyms and opposite words to say in unique way.


Meaning of interpreted data

The primary meaning of "interpreted data" refers to information that has been analyzed and explained to provide a clear understanding of its significance.

Etymology of interpreted data

The term "interpreted" comes from the Latin "interpretari," meaning "to explain" or "to translate."
The word "data" originates from the Latin "datum," meaning "something given," and has been used in English since the 17th century to refer to facts or information.

Synonyms

analyzed information decoded data explained results processed facts translated details understood findings evaluated evidence assessed results calculated statistics derived conclusions extracted insights gathered intelligence informed decisions judged outcomes measured performance observed trends perceived patterns quantified results rendered opinions resolved uncertainties reviewed analyses scrutinized findings searched records statistically significant data summarized reports systematized knowledge technical data validated information

Definitions

  • Interpreted data is defined by Oxford Languages as information that has been examined and analyzed to understand its meaning and significance.
  • * It involves the process of assigning meaning to data, often using statistical methods or expert judgment.

Usage Examples

  • The researcher spent months collecting and analyzing data, eventually producing a comprehensive report with interpreted data that revealed significant trends in the industry.
  • * The company's financial reports included interpreted data that helped investors understand the company's performance and make informed decisions.

Antonyms

raw data unprocessed information unanalyzed facts untreated results unaudited records unexamined evidence inconclusive findings disputed results unreliable information inaccurate statistics misleading data false reports fabricated evidence unsubstantiated claims baseless assumptions unjustified conclusions unsupported opinions ambiguous results unclear findings confusing data
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