Document generation and approval are a key priority of each business. Whether working with sizeable bulks of files or a distinct agreement, you must remain at the top of your efficiency. Finding a excellent online platform that tackles your most typical papers creation and approval problems could result in a lot of work. Numerous online platforms provide merely a minimal set of modifying and eSignature capabilities, some of which could be valuable to deal with odt formatting. A platform that deals with any formatting and task will be a outstanding choice when deciding on application.
Take document management and creation to a different level of simplicity and sophistication without choosing an cumbersome user interface or pricey subscription plan. DocHub offers you tools and features to deal successfully with all of document types, including odt, and execute tasks of any complexity. Edit, arrange, and produce reusable fillable forms without effort. Get complete freedom and flexibility to clean up date in odt at any time and safely store all of your complete files in your profile or one of many possible integrated cloud storage platforms.
DocHub offers loss-free editing, signature collection, and odt management on the expert levels. You do not need to go through tedious tutorials and invest countless hours figuring out the platform. Make top-tier secure document editing a typical process for the every day 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