Unusual file formats within your daily document management and modifying processes can create immediate confusion over how to modify them. You may need more than pre-installed computer software for effective and quick document modifying. If you want to fix period in PDAX or make any other simple change in your document, choose a document editor that has the features for you to deal with ease. To handle all the formats, including PDAX, opting for an editor that works properly with all kinds of documents will be your best option.
Try DocHub for effective document management, regardless of your document’s format. It offers powerful online editing tools that simplify your document management operations. You can easily create, edit, annotate, and share any file, as all you need to gain access these characteristics is an internet connection and an active DocHub account. Just one document solution is everything required. Do not lose time jumping between various applications for different documents.
Enjoy the efficiency of working with a tool designed specifically to simplify document processing. See how easy it really is to revise any document, even when it is the first time you have dealt with its format. Register an account now and improve your whole working process.
hello everyone Im Reza from Redick ed and today Im going to show you a very simple trick of how to calculate the previous dynamic period using power bi and Dax by the previous dynamic period I mean not the previous year not the previous month not the previous quarter but the previous dynamic period off based of the selection of the slices that you got like for example if in the slicer I select only lets say this period which is one hundred and ninety days and this method is going to calculate what is one hundred and ninety days before this period and calculate the sales of the value or whatever that I have in that previous dynamic period lets go and check it out to implement this example Im using adventureworks data set which you can download it from the links provided in the blog below and from the adventureworks data set Im using the fact internet sales which has the sales transaction information and the date table which has one record per day its important that you have a da