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hi Im Nick Im a data scientist at data camp and Ill be your instructor for this course on cleaning data in our lets kick things off by looking at an example of dirty data youre looking at the top and bottom or head and tail of a data set containing various weather metrics recorded in the city of Boston over a 12 month period of time at first glance these data may not appear very dirty the information is already organized into rows and columns which is not always the case the rows are numbered and the columns have names in other words its already in table format similar to what you might find in a spreadsheet document we wouldnt be this lucky if for example we were scraping a web page but we have to start somewhere despite the datasets deceivingly need appearance a closer look reveals many issues that should be dealt with prior to say attempting to build a statistical model to predict weather patterns in the future for starters the first column X all the way on the Left appears
