Short - Explain a csv

A great way to use the Count agent is to help you understand a new dataset you haven't seen before. Here, I have, the classic Titanic dataset made famous for many data science competitions, and I'm just gonna ask an agent to help me understand what's going on. Hey, Count dot ai. I've got a new dataset here. I want you to help me understand what's what it's made up of. Can you look at the different columns? Tell me if you see any particular weird, anomalies in the data or anything I might need to be aware of before I start analyzing it in anger. So the agent's gonna go away, look at the dataset, query every column, and come back and tell me what it can find. Here we can see it's already starting to look at the datasets. It's got a sense of rows, got some missing value column analysis. It's also giving us the distribution of every single categorical column and the major continuous column distributions as well, as well as giving us a bit of sense of edge cases as well. So it's still going, but you get a sense of how quickly it's giving you a shape of the dataset.