analysis
6 TopicsPower BI Diaries
Join us every other Thursday for Power BI Diaries, a collaborative space where aspiring data analysts and BI analysts come together to work on projects, share ideas, and learn from each other. It starts today live on LinkedIn, Facebook and YouTube from 7pm-8pm WAT68Views0likes0CommentsTrend Analysis
Hi Guys, Asking the community for help, I've a coloumn which has inconsitent data however it has keywords which i'll be using in the "cards" for visualization such as "ABC" and "XYZ". So when I click on the card "ABC" the "clustered bar chart" should change according to the data and show the trend. I was thinking to seperate the column with all "ABC" in one column and "XYZ" in another" however I am finding it impossible to do it as has 20k+ rows and too many words/letter/delimiters in between "ABC" and "XYZ". Sample data is below Can you guys help please? Any help is greatly appreciated. Margins ABC 10days ABC XYZ 64 minutes ABC Remote work Internal Job ABC External Job XYZ ABC half 2020 New postpaid work7 day moving average
I really have zero DAX experience. I even tried to add a column and then enter an Excel formula at first. Of course after digging in a little I realized that it doesn't work that way in this case. I am using direct query from a SQL database. My query data looks like the below table - and I am trying to add the final 7 day moving average column. In short, I need to sum the quantity ordered on each date and then calculate the 7 day moving average on those sums. I would then add that data to the line graph below. What is the best way to go about doing this? In addiiton, is there a particular trainng course I can take to come up to speed?Solved6.7KViews0likes4CommentsOn-premises Power BI Report Server connect live to an on-premise python or analysis server
Currently, I'm publishing dashboards on the on-premises Power BI Report Server. via SQL Enterprise. Edition. is there an on-premise python or analysis server? so can i run advance analyses live from the Power BI Report Server dashboard.1.1KViews0likes2CommentsForecast Cancellations by Age to chart by year - DAX Measure
I want to write a DAX measure that I can chart to show how many of our customers are likely to cancel over time based on their age. Historically there are key ages when our customers are more likely to cancel. I have two tables: A table showing the PAST customers (FormerClientTable) and their age when they cancelled, and a table showing CURRENT customers and their current age. I know that customers are most likely to cancel at age 24, 30, 65 and 75 and, using my FormerClientTable table I am able to calculate the likelihood of cancellation for any given age. PercentageLikelihood = SUMMARIZE('FormerClientTable','FormerClientTable'[Age At Cancellation],"%",COUNTROWS('FormerClientTable')/COUNTROWS(All('FormerClientTable'))) I can figure out the answer for a SPECIFIC year, but what I want to do is create a measure that will do this for any year that is shown on the X axis of my chart. Does anyone have insight or suggestions about how to do this? ThanksSolved1.3KViews0likes2Comments