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[Music] big one big one wake up thank you perfect pronunciation hi Im a nose fill and this presentation is all about data and specifically data cleaning Im going to talk to you a little bit about how some high profile projects have failed purely because the data has been bad in one way or another and then Im going to spend the rest of the time to try and attempt to suggest some ways of improving the data this assumes that youve got a little bit of data science knowledge can I just get a big indication of your experience level so what would you put your hand up if you think you have a beginners level data science level of knowledge okay what about intermediate level okay advanced anyone doesnt do in this full-time okay just just one guy okay but that thats fine thats good enough it just means that I dont need to explain terminology and stuff okay so lets go so lets start by looking at some high profile examples of where that data has gone completely wrong and it still is goin