Row 76420

Row ID: 76420 | Dataset Entry | Axioma AXP Content Repository

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The distinction is whether you are talking about a discrete collection or not. So called noncount nouns or mass nouns like in your example water are treated as singular, because of their inherently uncountable nature, or are otherwise undifferentiated units of stuff.

You don't give many help, you help a lot. You have a lot of water, not many water. The issue with data is, that in data science it's not rare for you to know exactly how the data looks like, how many pieces of information you have. To data scientist the data which they write about is oftentimes a group of *known* individual facts, which makes data a discrete group of units of information and therefore a counted group of things.

Please keep in mind that this distinction is usually only made in academic papers (or coworkers you don't want to grab a beer with after work) and normal people will simply always use data as mass noun. I understand the argument that the entire job of a data scientist is to work with discrete data and therefore data should always the used as a plural, but I still don't like it. Your example is just half of the story and not exactly comparable.

FieldValue
text The distinction is whether you are talking about a discrete collection or not. So called noncount nouns or mass nouns like in your example water are treated as singular, because of their inherently uncountable nature, or are otherwise undifferentiated units of stuff. You don't give many help, you help a lot. You have a lot of water, not many water. The issue with data is, that in data science it's not rare for you to know exactly how the data looks like, how many pieces of information you have.…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-24
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  "text": "The distinction is whether you are talking about a discrete collection or not. So called noncount nouns or mass nouns like in your example water are treated as singular, because of their inherently uncountable nature, or are otherwise undifferentiated units of stuff.\n\nYou don't give many help, you help a lot. You have a lot of water, not many water. The issue with data is, that in data science it's not rare for you to know exactly how the data looks like, how many pieces of information you have. To data scientist the data which they write about is oftentimes a group of *known* individual facts, which makes data a discrete group of units of information and therefore a counted group of things.\n\nPlease keep in mind that this distinction is usually only made in academic papers (or coworkers you don't want to grab a beer with after work) and normal people will simply always use data as mass noun. I understand the argument that the entire job of a data scientist is to work with discrete data and therefore data should always the used as a plural, but I still don't like it. Your example is just half of the story and not exactly comparable.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-24",
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