Examples of using Big data sources in English and their translations into Bulgarian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
To conclude, many big data sources are not representative samples from some well-defined population.
As the work of Burke and Kraut illustrates, big data sources will not eliminate the need to ask people questions.
Even though, from the perspective of researchers, big data sources are“found,” they don't just fall from the sky.
Some researchers believe that big data sources, especially those from online sources,
offer other advice for discovering useful comparisons within big data sources.
Finally, you should notice how these examples clarify that surveys and big data sources are complements
Then, I will illustrate three research strategies that can be used to successfully learn from big data sources.
Finally, I will describe two strategies for combining survey data and big data sources.
Finally, I will describe two research templates for linking survey data to big data sources(section 3.6).
Thus, for those who are good at asking certain types of research questions, big data sources can be very fruitful.
There are a couple of different ways in which survey data can be combined with big data sources.
I describe ten common characteristics of big data sources.
Understanding these 10 general characteristics is a helpful first step toward learning from big data sources.
matching is a design that also benefits from big data sources.
The sensitive nature of this information is part of the reason that big data sources are often inaccessible(described above).
My book has examples of data scientists cleverly repurposing big data sources that were originally created by companies and governments.
using nonrepresentative big data sources to do out-of-sample generalizations can go very wrong.
but cleaning big data sources seems to be more difficult.
it is a major challenge with using big data sources for social research(Lazer 2015).
system drift make it hard to use big data sources to study long-term trends.