From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Sampling and large populations

Sampling and large populations

From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Sampling and large populations

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- [Presenter] Sampling is an important tool in our data analysis and data science toolbox. And it's especially useful in a couple of areas. One is when we have extremely large data sets and we're trying to do maybe some preliminary analysis. So what we want to do is work with a subset of the entire dataset to do some preliminary analysis, maybe to get a better understanding of the characteristics of the entire dataset without spending a lot of time and computational resource to analyze every last record in that dataset. A second area where sampling is important is when we're dealing with large populations. And by large populations, we could mean, say the population of a country, or even beyond a country like larger organizations like the European Union, or maybe the entire population of North America. Well, when we're dealing with that size, it's not practical to analyze everyone in a country or everyone in a larger multinational organization. So what we do is we use sampling…

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