When you deal with different document types like Affiliate Agreement, you know how significant precision and attention to detail are. This document type has its particular structure, so it is essential to save it with the formatting intact. For that reason, dealing with such documents might be a struggle for traditional text editing software: one incorrect action might ruin the format and take extra time to bring it back to normal.
If you want to clean up data in Affiliate Agreement with no confusion, DocHub is an ideal tool for this kind of tasks. Our online editing platform simplifies the process for any action you may want to do with Affiliate Agreement. The sleek interface is proper for any user, whether that individual is used to dealing with this kind of software or has only opened it the very first time. Gain access to all editing instruments you need easily and save time on daily editing tasks. You just need a DocHub profile.
Discover how easy papers editing can be irrespective of the document type on your hands. Gain access to all top-notch editing features and enjoy streamlining your work on paperwork. Register your free account now and see immediate improvements in your editing experience.
Today, lets talk about a very useful Excel tool that will help you clean up your data. Now, this is especially helpful if you work in accounting because, as an accountant, you probably find yourself downloading data from other systems like SAP, Oracle, and the like, and you need to clean these up to be able to prepare your reports. So, the tool that Im going to show you is like a magic box; it can do a lot and it doesnt require that much effort from you. I thought the best way of introducing this to you is with practical examples, so lets get to it. Lets take a look at the data that we need to import into Excel and analyze. We have an SAP extract which comes from our European entity; its the income statement. But take a look at this: our numbers are all over the place; theyre not even recognized as numbers because the data is coming from Europe. Its using a dot for the thousand separator and a comma for the decimal place. Now theyre also not proper