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hi everyone iamp;#39;m biz today i want to go over a common but somewhat challenging task when it comes to data processing and that is cleaning up messy data before you can analyze or do anything else with it so for this example i will be using salary survey data from us managers in various industries i have pushed the csv file and the code for this exercise to my github account so you can download it and follow along before we get started letamp;#39;s take a look at the data in google sheet so this shows survey data across multiple variables thereamp;#39;s 17 columns so thereamp;#39;s 17 variables and each of them is about an attribute of the respondents their age education title salary location level of education gender and so on several of these columns are free form responses for the sake of convenience letamp;#39;s take a look at the city and state columns these two columns have not been standardized some of the rows are missing the state and some have been lumped alo