Say I have a column with multiple potential value-ranges (values could range from 1-10, 1-100, etc.).
Now, I want to display the upper 20% of records within this column with 5x :thumbsup: emoji's, the second 20% with 4x :thumbsup: emoji's, etc.
Any idea how to achieve this with django-tables2?
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See picture. I have two columns: FIXED and the Original. Is there a way to combine both into a single column using an IF Formula or maybe a FIXED Formula?
The amount 949 highlighted in green is OK, is based on a calculation, but I also want to keep the amount 21.265 also highlighted in green, which was OK in the original column. I want to have both in a single column.
Picture
I have a dataset with around 15 numeric columns and two categorical columns which are a "State" column and an "Income" column with six buckets representing each different income range. Do I need to encode the "Income" column if it contains integers 1-6 representing each income range? In addition, what type of encoder should I use for the "state" column and does anyone have any good resources on this?
In addition, does one typically perform feature selection (wrapper and filter methods such as Pearson's and Recursive Feature Elimination) before PCA? What is the typical correlation threshold when using a method like Pearson's? And what is the ideal number of dimensions or explained variance ratio one should use when running PCA. I'm confused if you use one of them or both. Thank you.
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!
I want a visual comparison of stacked histograms using the same x-axis scale. In this situation, I don't always have the same number of histograms for each dataset.
I would like to do a small multiples grid in Power BI that is N rows by 1 column; where N is the number of instruments that are collecting data for the client site selected in a Slicer. Some clients may be collecting data with one instrument. Other clients may use 3 or more instruments.
Is there a way to set the number of rows to a variable in a small multiples grid or would it be possible to embed a chart in a matrix?
The default is a 2×2 grid of small multiples, but you can adjust the number of rows and columns to up to 6×6. Any multiples that don’t fit on that grid will load in as you scroll down.
You can adjust the style and position of the small multiple titles in the Small multiple title card:
And you can change the dimensions of the grid in the Grid layout card:
I have a matrix that has two row's dimensions- one for the country, and one that shows different KPIs. Then I have two dimensions for columns - one with the product name and one with the product logo. Basically all KPI's for each country broken down by product:
What I need to have is a total for each row, e.g. total KPI1 for all products, then total KPI2 for all products and so on.
However, when I go to the formatting tab and turn subtotals to be ON, it appears in this way:
It gives me a total for each product separately which is basically the same number. Is there any way to have only 1 total for the whole row?
Go to Format > Subtotal and turn on Per column level. Then you can specify which levels you want to show subtotals for below that toggle.