When your daily work includes lots of document editing, you know that every file format requires its own approach and in some cases specific applications. Handling a seemingly simple RPT file can often grind the whole process to a stop, especially if you are attempting to edit with insufficient software. To avoid this kind of troubles, find an editor that will cover all of your requirements regardless of the file extension and restore date in RPT with zero roadblocks.
With DocHub, you are going to work with an editing multitool for virtually any occasion or file type. Minimize the time you used to spend navigating your old software’s functionality and learn from our intuitive interface while you do the work. DocHub is a streamlined online editing platform that covers all your file processing requirements for virtually any file, including RPT. Open it and go straight to efficiency; no previous training or reading instructions is required to enjoy the benefits DocHub brings to papers management processing. Start with taking a couple of minutes to register your account now.
See improvements in your papers processing right after you open your DocHub account. Save your time on editing with our single solution that will help you be more efficient with any file format with which you have to work.
hello everyone and welcome to introduction to our part 16 dealing with dates so in the last two lessons we learned various techniques for pre-processing text data and numeric data but many datasets also contain dates and date times which you cant treat as either strings or numeric data you have to treat them as their own thing so in this lesson were going to learn about various techniques for dealing with dates now Ill start just by reading in some date data that Ive prepared for this lesson you can see that the data here has four different columns which include dates and different formats and the names of the columns Ive prepared here tell you the general format of the dates for that column so this first column is called month day year because thats the format of how the date is so this one is day month year this one is a full date time so it includes both a date and a time signature and the last one is in year month day format this will just give us some data that we can work