It is usually difficult to get a platform that can cover all of your organizational needs or offers you suitable instruments to control document creation and approval. Choosing an application or platform that includes crucial document creation instruments that make simpler any task you have in mind is critical. Although the most popular file format to work with is PDF, you need a comprehensive platform to deal with any available file format, including WRF.
DocHub ensures that all of your document creation requirements are covered. Edit, eSign, turn and merge your pages in accordance with your preferences by a mouse click. Deal with all formats, including WRF, efficiently and quickly. Regardless of what file format you begin dealing with, it is possible to transform it into a required file format. Save a lot of time requesting or looking for the right document format.
With DocHub, you do not require additional time to get accustomed to our interface and modifying process. DocHub is surely an intuitive and user-friendly software for anybody, even all those with no tech background. Onboard your team and departments and change file management for the organization forever. clean up date in WRF, generate fillable forms, eSign your documents, and have things finished with DocHub.
Take advantage of DocHub’s comprehensive feature list and quickly work on any file in every file format, including WRF. Save your time cobbling together third-party platforms and stick to an all-in-one software to boost your day-to-day processes. Begin your free DocHub trial subscription today.
hello everyone so in this video i will be showing how to clean some of the aspects of a messy data set using some functions in excel so this particular data set was obtained from kaggle.com i will put a link to that data set in the description as a form of acknowledgement but as you can see from the data set its uh got some issues a couple of issues that stand out immediately are the dates so you can see that it doesnt have a date only it also have the timestamp in it so you got the hour and then plus zero zero im guessing thats the millisecond or something like that so we need to convert this into a proper date format the other issue that you can see in this data set is that its got a product category three so its got the category here clothing furniture and so forth and then its got the subcategories subcategory and then ultimately its got um the product name now this product name is essentially the same as these products here most of them uh the brand names in this day part