From the course: Vibe Coding for Data Analysts
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Aggregating data
From the course: Vibe Coding for Data Analysts
Aggregating data
- Different groups have different vibes, and examining how groups differ across certain metrics can be a useful data exploration technique. Not only can we see potential differences, but grouping and summarizing data can start to give us ideas, about relationships that we might want to model. We're going to use "genre" as our grouping variable. We'll find the means and standard deviations for each group, on the lyrics and personnel features. Find the means and standard deviations for the lyric features and personnel variables for each group in the genre variable. You can see that Copilot attempted to find a lot of different things in our data, and it did finally return the features that we were looking for. So let's keep this and see how well that it's done. We see our key features that we're looking for, including both lyric features and songwriter features. It's done a group by aggregate on those. And finally produced our grouped and aggregated data frame by genre. Excellent. We…