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hi this is george mont with enterprise dna and in this presentation weamp;#39;re going to look at visualizing missing data using the gigi mice package in r all right so this is a really important question when youamp;#39;re analyzing data you find missing values hopefully theyamp;#39;re easy to find right theyamp;#39;re coded as nulls or eddies etc and you want to know what to do next so again like with most things in analytics it depends but some generals and thumbs next steps weamp;#39;re going to look at here so we want to know well how many are there right how big is the problem and can you find any patterns in the data there are a lot of ways to do this but weamp;#39;re going to use visualization as that first exploratory start if it turns out that thereamp;#39;s really no pattern in how theyamp;#39;re missing uh and itamp;#39;s affecting less than like five percent of the observations whether thatamp;#39;s in the column the data set etc you could probably just d
