From the course: More Python Tips, Tricks, and Techniques for Data Science
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Aggregation and grouping - Python Tutorial
From the course: More Python Tips, Tricks, and Techniques for Data Science
Aggregation and grouping
- [Tutor] So when we're working with large datasets, an essential piece of analysis is efficient summarization. So concepts like computing aggregations using sum, mean, median, minimum, maximum, in which a single number gives insight into the nature of a potentially large dataset. So in this video, we'll explore aggregations in pandas from simple operations, to more sophisticated operations based on the concept of a GroupBy. So here, we are going to use Seaborn Library. Basically, we are using the dataset called penguins. So C one library has this method called load dataset, which can be used to load or use a dataset. So they have couple of datasets available, I'm going use the penguins dataset. And then let's look at what we have in the dataset here, and the dataframe, so it returns a dataframe. And let's look at the first few rows. So if you see that we have Species, Island, Culmen_Length, and then Flipper_Lengths, Body_…
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