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I'm presenting many histograms that show the most commonly used cars, then the most commony used refrigerators, and the most commonly used shoes. The problem is that I don't want to repeat the expression "most commonly used".

Do you have other expressions? Thanks!

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    the most popular/the most sought-after/the most desired, etc. – user140086 Oct 9 '15 at 9:45
  • @Rathony the most popular sounds good. Thanks! But "the most sought-after/the most desired" doesn't represent the idead behind the histrograms. Do you know another one? – GniruT Oct 9 '15 at 9:47
  • the most preferred/the most attractive – user140086 Oct 9 '15 at 9:50
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    I should think ubiquitous would qualify as well. – Mamta D Oct 9 '15 at 10:02
  • I think ubiquitous/widespread etc. while they could be applicable, they aren't exactly what the OP is asking for. "Most common" is a relative term, it doesn't necessarily infer an absolute "common"... – Lamar Latrell Oct 9 '15 at 14:13
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You may refer to the most widespread products.

Widespread definition: found or distributed over a large area or number of people; distributed, circulated, or occurring over a wide area or extent; widely diffused;

Examples: The most widespread, free statistics programme is Google Analytics. Ford Australia is perhaps one of the most widespread car brands in Australia.

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Take a look at predominant:

"Present as the strongest or main element"

and its (many) synonyms ...

Also the statistical mode:

"Relating to a value that occurs most frequently in a given set of data"

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The most widely used is a pretty commonly used expression.

Ngram

Alternately, single-word prevailing could fit the context just as well.

prevailing: applies to what is most common or frequent at a certain time or in a certain place. (American Heritage Dictionary)

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prevalent? most popular? most widespread? most common?

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While the other answers here are accurate, I cant help but think that this kind of phrasing is wrong for a histogram in general.

Typically the data is described simply as "Shoe Purchases by Type" or "Car Purchases by Model", and the histogram consumer is left to interpret the relative frequency of the purchases.

If the data is a subset then describe the subset in more detail, such as "Top 10 Shoe Purchases by Type".

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