Picking out the perfect file management platform for the company could be time-consuming. You have to analyze all nuances of the app you are thinking about, compare price plans, and remain vigilant with safety standards. Arguably, the ability to work with all formats, including NEIS, is very important in considering a platform. DocHub provides an vast list of features and tools to ensure that you manage tasks of any difficulty and handle NEIS formatting. Get a DocHub account, set up your workspace, and start dealing with your files.
DocHub is a thorough all-in-one app that allows you to modify your files, eSign them, and create reusable Templates for the most frequently used forms. It offers an intuitive user interface and the ability to handle your contracts and agreements in NEIS formatting in the simplified way. You do not need to worry about studying numerous tutorials and feeling stressed because the software is way too sophisticated. clean up date in NEIS, assign fillable fields to selected recipients and collect signatures effortlessly. DocHub is all about potent features for professionals of all backgrounds and needs.
Improve your file generation and approval processes with DocHub right now. Enjoy all this by using a free trial and upgrade your account when you are all set. Edit your files, generate forms, and discover everything that you can do with DocHub.
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