 So, we have this database called million song, million song data set, so it's basically like songs and various metadata associated with the songs for the past hundred years. So we're basically coming up with wacky correlation between all the numbers that we have like you know the hottest song of all time and hottest song over average hotness of every average hotness of each year and we're also planning we're also planning to do some correlation between hotness and danceability but that's not working out too well and yeah hopefully we'll do something more with the data that we have. So basically we're doing all kinds of wacky analysis on music and the statistics that we have, the data, the latest data that we have. Wanna add something? So far we've been using pandas and just now we've plotted the whole average trend in R. Getting started on D3? Yeah, we'll get started on D3 sometime through the night so that we can get a hang of all of the tools that we've taught today. But it's been fun. We'll do it over those on Red Bull. Yeah, I'm getting high on Red Bull so let's see. Nice, do any of you guys have anything to add? I'm going to zoom in on you so like you have something to say. He's talking to you. Yeah, I'm talking to you. Nothing, the major problem we are facing is with string manipulation because we don't have basic concepts of Python that much finished. And we have a bigger problem with not having an API difference for pandas. Yeah, pandas. That's the problem. We are really good at it. Yeah, we're getting good at it. And do you have something to add? Nothing, I'm trying to run a map reduce job and see something else parallel to what they are doing. Okay, pretty cool. Thanks. All the best. Hope something comes out of it. Yeah, we hope too.