Document generation and approval certainly are a central priority of every company. Whether handling sizeable bulks of files or a certain contract, you must remain at the top of your productiveness. Getting a perfect online platform that tackles your most typical file creation and approval challenges might result in quite a lot of work. A lot of online apps provide merely a restricted set of modifying and signature features, some of which could possibly be helpful to manage PAP file format. A solution that handles any file format and task would be a exceptional option when picking software.
Get document management and creation to a different level of simplicity and excellence without opting for an difficult user interface or expensive subscription options. DocHub gives you tools and features to deal efficiently with all of document types, including PAP, and execute tasks of any complexity. Modify, organize, and produce reusable fillable forms without effort. Get total freedom and flexibility to clean up date in PAP at any moment and safely store all your complete files in your profile or one of many possible integrated cloud storage apps.
DocHub offers loss-free editing, eSignaturel collection, and PAP management on the expert levels. You do not have to go through exhausting tutorials and invest hours and hours figuring out the platform. Make top-tier secure document editing a standard process for the daily workflows.
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