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hi this is European for statistical programming calm and in this video Iamp;#39;m going to show you how to handle an a values in arm so for the video Iamp;#39;m going to use the air quality data set which we can load with this line of code so letamp;#39;s run the code and after running the code you can see that the air quality data set appears on the top right of your our studio we can also have a look at the data and as you can see the data contains one hundred and fifty three rows and several columns which contain information about the quality of the air such as the ozone value the wind the temperature and so on what you can also see here is that some of these columns contain and a values such as the first column and the second column and in this video Iamp;#39;m going to show you how to deal with these values in R so the first thing I want to show you is how to identify missing values how to find missing values in your data and the function that can be used for that is the is no