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hello everyone in this video I am going to show you how to handle missing values itamp;#39;s something that came up when you were trying to do problem set number two and this is actually a topic for a later module when we look at data transformation and data manipulation but since itamp;#39;s something that came up in problem set two I wanted to show you how to handle these missing values in a quick way so this is our BMI dot serve file okay that you used for problem set two to calculate those categories of food security and you can see here that both food security score and the age have missing values okay so what Iamp;#39;m going to show you is how to handle how to filter out these observations that have missing values so the first thing that we need to do is to make sure that all the variables are set up as numeric variables okay and you can see here the food security score is set up as a string variable okay so we need to change that first and thatamp;#39;s because the function
