Could you please help me understand the conceptual difference?
When do we use one over the other and how they are included in the data model?
Measures, calculated columns and calculated tables all use Data Analysis Expressions (DAX).
Calculated columns work in the horizontal direction of a table
and they add a value to each row of the table that can later be used
for filtering, e.g. on the axis of a diagram.
Measures work in the vertical direction of a table since they aggregate or summarize the values in a column. They are typically the contents of a diagram.
Both calculated columns and tables will add data to the model, just like the M-code in PowerQuery does. This data is recalculated on model refresh and otherwise won't change. In contrast measures add formulas only that will be calulated depending on the filter context.
Related
I'm trying to create a fully customizable matrix table in Power BI.
The matrix has field parameters for rows, columns and the values:
Is it possible to hide the columns if nothing in the column field parameter is selected? (and thereby only show values and rows in the matrix visual)
I've found a workaround that I fear is not intuitive for the user.
For the column field parameter, if I select one of the dimensions as is already selected as a row dimension, the columns will disappear and only the selected value along with the selected rows will be shown (exactly how I want it):
The issue with this method of hiding the columns is that as soon as something else is selected as rows, the columns will appear again. One could just select the same new row dimension for the columns to make them disappear again, but I want to know if there is a better way that might be more intuitive for the user.
An alternative solution is to use bookmarks to switch between a matrix and table visual, but I would like to know if my goal can be achieved with a matrix visual.
I have a map that does not shows all points from my dataset (too many, its an expected behavior). If I filter the data, Power BI recalculates the points to be shown, while ALL filtered data (not only shown) are used for any other calculations or visuals. But, if I make an AREA selection IN MAP (lasso selection), only the selected points I can see in map are used for thhese calculations.
Is there a way to FILTER AND RECALCULTE the dots IN SELECTED AREA? I mean, use the lasso selection not to mark specific poits, but to filter values in latitude/longitude selected range.
Thanks!
Team,
I'm trying to format individual cells within a Power BI matrix table. It wouldn't be a conditional formatting because it's not based on the values of the cell, rather it's based on the intersection of my X and Y labels.
The first image is my starting matrix table and the second image is how i'd like to format the cells.
I believe you are looking for the Table Heatmap visual. it is for free. Tick the 3 dots and click "Get more visuals".
I want to display 3 measures under all the columns in a matrix visual.
Face amount, Market value are numeric columns in the table.
ConvexityWTD is a measure.
I want to calculate Prior, current and %change measures based on some condition and display them under each of the column.
I am getting the following table by keeping this arrangement:
How can I get it in the required format?
i want to insert calculated rows to a power BI matrix. How do i add this?
i can add calculated columns. But not sure how to structure the data and what are the functions to use to do this