Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreShape the future of the Fabric Community! Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions. Take survey.
Is it possible to do these three things in the process of creating a table?
I'm new to DAX and can't decide if I can attack these 3 issues in a single formula.
Scenario simplified:
Let's say I have a table called "Projects" with 3 columns: Project ID, Project Name, Start Date.
I'd like to:
1. Create a separate table based on specific columns. So I'd only need the Project Name and Start Date column.
2. Rename these columns so that instead of it saying Project Name and Start Date, let it say Project, Start
3. Filter only Projects from >=2020 year. (The date is in the format 1/1/2020)
Can I achieve all three in a formula when creating the table?
Here's my attempt:
New Table = SELECTCOLUMNS ( "Project", 'Projects'[Project Name], "Start", 'Projects'[Start Date], )
How can I apply the filter here? With an IF statement? With Return or some sort of calculation formula?
Solved! Go to Solution.
Hi,
give this a try:
SELECTCOLUMNS(
FILTER(Projects, Projects[Start Date] >= DATE(2020,1,1)),
"Project",Projects[Project Name],
"Start",Projects[Start Date]
)
Regards FrankAT
Hi,
You can do the same using Power Query. Try applying the below steps:
1- Click on Edit Query
2- Select the Query/Table you want to replicate
3- Right click on the query and select Reference
4- Manipulate the new query by changing the column names and filter the date
Hi,
give this a try:
SELECTCOLUMNS(
FILTER(Projects, Projects[Start Date] >= DATE(2020,1,1)),
"Project",Projects[Project Name],
"Start",Projects[Start Date]
)
Regards FrankAT
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
User | Count |
---|---|
93 | |
92 | |
84 | |
82 | |
49 |
User | Count |
---|---|
145 | |
142 | |
111 | |
71 | |
55 |