数据(Data)和信息(Information)似乎是非常重叠的术语。我们经常使用它们。有时我们会互相使用它们。但这一切都取决于您所说的上下文,各个单词的含义。尽管如此,两者之间还是有很大的不同。
数据(Data)与信息(Information)的区别
数据(Data)是最低的抽象或最原始的比特形式。这不过是未修改、未篡改位的最简单形式。它也可以称为事实。 (fact. )值得注意的是, 数据没有意义。 (data has no meaning. )例如,我们可以将任何像 423876 这样的随机数视为数据。
而另一方面,信息(Information)是经过处理的数据。 (processed data. )这意味着信息是具有意义的数据。例如,110011 是一个随机数,但是当它作为一个密码处理时,它会转换为信息。
再谈数据(Data),它永远无法刺激其他人做出回应。这是因为它仍然没有意义。
另一方面,信息可以刺激其他人做出回应。(Information)当你说“我每天花 40 分钟做瑜伽练习”时。现在,作为回应,你总是可以谈论你的习惯。因此(Hence),信息可以给出响应,而数据永远无法响应。
此外,新数据不断出现和变化。因此(Hence),它不断改变我们拥有的信息。因此,如果我们不根据我们收到的恒定数据输入更新信息,则可能证明我们所掌握的信息是错误的。
该随机数据是通过对特定对象进行的记录或观察而获得的。最后,这些数据被处理并转换为信息。要将这些数据转换为信息,人们必须手动检查和记录所有数据,并且必须获得有意义的信息。
例如,在一家杂货店,经理在一周内跟踪不同产品的销售情况。他可以观察到啤酒的销量在周五(Friday)、周六(Saturday)和周日(Sunday)都有所增加。这让他知道他必须在周末或每周的周五(Friday)、周六(Saturday)和周日(Sunday)保持库存充足。
因此,总而言之,以下是突出数据和信息之间差异的关键点:
- 数据(Data)是最低和最原始的知识水平。而信息是知识数据之上的第二层——它是经过处理的数据。
- 数据(Data)是微不足道的,另一方面,信息是重要的。
- 进行观察和记录以获取数据,并且需要进行分析以获取信息。
希望这能澄清事情!
What is the difference between Data and Information
Data and Information seem to be very much overlapping terms. We use them a lot. Sometimes we use them for each other. But it all depends on the context of what you are saying, what the meaning of the respective word is. Still, there is a huge difference between both of them.
Difference between Data and Information
Data is the lowest abstract or the rawest form of bits. This is nothing but the simplest form of the unmodified, untampered bits. It can also be referred to as a fact. It is a great point to be noted that data has no meaning. For example, we can consider any random number like 423876 as data.
Whereas, on the other hand, Information is processed data. This means that information is data with meaning. For example, 110011 is a random number but when it is processed as a pin code, it transforms into information.
Talking about Data again, it can never stimulate other people to give a response. This is due to the fact that it is still meaningless.
And, Information, on the other hand, can stimulate other people to give a response. When you say “I spend 40 minutes daily, doing yoga exercises.” Now, in response to that, you can always say about your habits. Hence, information can give a response and data can never do it.
Also, new data is constantly coming up and changing. Hence, it keeps on changing the information that we have. Therefore, if we don’t update the information based on the constant data inputs that we are receiving, it may be proved that the information we had is wrong.
This random data is obtained as a result of recordings or observations made to a particular subject. And finally, this data is processed and converted into information. To convert this data into information, a person has to manually inspect and record all the data and has to derive meaningful information.
For example, in a grocery store, the manager keeps a track of sales of different products throughout the week. What he can observe is that the sales of beer increases on Friday, Saturday, and Sunday. This gives him information that he has to keep the stock up to full-on weekends or Friday, Saturday, and Sunday of every week.
Hence, to summarize, here are the key points that highlight the difference between data and information:
- Data is the lowest and the rawest level of knowledge. Whereas information is the second level, above data of knowledge – it is processed data.
- Data is insignificant and on the other hand, information is significant.
- Observations and recordings are done to obtain data and analysis are required to be done to obtain information.
Hope this clarifies things!