I second this. I do data science with Julia and love this feature. I work with a lot of different data sets and a very common issue I come across when working with financial data is that, for one reason or another, when an amount is zero, it shows up missing in the data set. When that happens, I know I need to replace the missing values with 0.00 and my column should be Float64. If those zeros were excluded, it would totally wreck any and all statistics computed for a lot of those data elements…