When you want to apply a small tweak to the document, it should not require much time to Unite columns paper. This type of basic action does not have to require additional training or running through handbooks to understand it. With the proper document editing resource, you will not spend more time than is necessary for such a quick edit. Use DocHub to streamline your editing process whether you are an experienced user or if it is the first time making use of an online editor service. This tool will take minutes to learn how to Unite columns paper. The only thing needed to get more effective with editing is a DocHub account.
A simple document editor like DocHub will help you optimize the time you need to spend on document editing irrespective of your prior knowledge about this kind of tools. Make an account now and boost your efficiency immediately with DocHub!
in the deep liar library you can take an existing character column and turn it into two or more new columns using the separate function so were just going to show how to do that in this video first were going to create some data some fake date data here to separate now you can see we made a data frame but it only has one column called dates and we can use separate to turn these dates into three different columns for the month day and year so to do that were gonna take the data well pipe it to separate this first argument here is just the name of the column you want to do separate on in this case we only made one column so thats what were gonna pass in the next argument is a vector of the new column names you want to create were gonna create three new columns month day and year and then the last argument here SEP is just the separator that you want to split the string on to make the new columns in this case the dates are separated using the slash character so thats what were pa