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hello everyone in this lesson were going to learn more about how to work with text data in python text data cleaning and pre-processing can be one of the more time intensive tasks involved with preparing a data set for analysis because text data can have a lot of irregularities in it that may need to be corrected before it is useful for analysis so in this lesson were going to go over a variety of different functions that you can use for working with text data which in python are known as strings were going to start off by loading in a data set on kaggle this is actually going to be a data set of reddit user comments related to the nba basketball team the minnesota timberwolves because that is the team from the state where i am from and this provides an example of how messy some text data might be so we just extracted eight comments from this subreddit and we can see that theres a lot of different types of text in here this one just looks kind of like a normal comment this one loo
