So Your Detailed/Flat Pivot is Slow and Doesn’t Sort Properly? Try Text Measures!
Yes, you know that pivots are meant to show aggregations. Summaries.
Yes, you know that pivots are meant to show aggregations. Summaries.
In our last webinar the #1 question and confusion seemed to be around Excel versus Power BI Desktop (formerly called Power BI Designer). The thing is, both tools are really part of an ecosystem. And the biggest confusion was around understanding how these tools fit into the overall landscape.
This post is based on a query that I got in our monthly Q&A session held for our Online Class attendees.
The more I use Power Query, the more I want to use Power Query – and of course the more I learn.
This is Power BI Designer, a New Product from Microsoft, and It’s Relevant to ALL of Us.
By Avi Singh [Twitter] If you want to look for trends based on weekday (Sunday…Saturday) or month-of-the-year seasonality (January…December), Cycle Plots can be a potent visualization tool.
One from the Reference Stacks I sometimes find RANKX() a bit perplexing. So awhile back I made myself a workbook of
Thanks to all, who attended our Power BI Webinar on Jun 2nd. We had 400+ (well, 438 to be precise) attend, what ended up being a 2 hour webinar with all the questions being asked.
Bad Data DOES Lead to Bad Results. But Good Data Can STILL Lead to Bad Results. Garbage in, Garbage out. We’re all familiar with this. If you’re being given junky source data, it’s going to be hard to perform ANY meaningful analysis or reporting on said data until the quality of the inputs is addressed.
Last month I posted a survey of computer performance for Power Pivot and Power BI usage.
An article on the 24 Distinctive Ways to Die by state.
I spent time recently thinking about how Power Query has really opened up the data on the Internet and made it more accessible to us all.