I have a Google Sheets pivot table with sales values of transactions in descending order. I want to modify the pivot table to only show the Top 10 sales values. The source data for the pivot table is being updated daily, so naturally, the Top 10 values will be changing as time progresses.
How can I do this in Google Sheets?
directly in the pivot table, it's not possible so you need to use some formula to trim it and then use pivot table from there:
=QUERY(A:B, "limit 10")
There is a good function in Google Sheets called SORTN which return any number of values in a range sorted as you want.
Use it on another sheet, the data will update automatically when value in the source range change.
Related
I have Table 1. It is filled with dates a inspection is going on. Plumbing or Garden inspections for example.
Table 2 links to these appointments and has additional columns with details such as a Person assigned to the inspection, and what property the inspection is at. I need these two tables to be separate as described, and they are linked by a simple ID column.
Is it possible at all to add a column to Table 2 called 'Last Date of Plumbing Inspection'. The idea is for any given Property in Table 2, there can be multiple inspection entries in Table 1 for it. The point of this column is that it should look in Table 1, find the matching ID, find the latest inspection date out of all the Plumbing-related inspections, and then set the column value to that.
The problem I am having with this is it seems like calculated columns can ONLY implement logic using the columns of the table the calculated column was created in. In Table 2, I can't create a calculated column that interacts with Table 1 at all. I could create a look up column, but I can't combine calculated columns with look up columns. Is there a way to build this latest inspection date column without too much complexity?
Actually you can create a Rollup field and put a MAX aggregate function for achieving your requirement from related table. Read more
My company has tasked with slicing the information on turnover and to create different graphs.
My source data looks like this: Relevant columns are: Voluntary/Involuntary, Termination Reason, Country, Production, and TermDateKey
I am trying to get counts using different filters on the data. I managed to get the basic monthly total using the formula:
Term Month Count = GROUPBY('Turnover Source','Turnover Source'[TermDateKey],"Turnover Total Count", COUNTX(CURRENTGROUP(),'Turnover Source'[TermDateKey]))
This gave me a new sheet with the counts for each month.
Table that shows TermDateKey on Column 1, and Counts on column 2
I am trying to add onto this table by adding counts but using different filters.
For example, I am trying to add another column that gives me the monthly count but filtered for 'Turnover Source'[Voluntary/Involuntary]=="Voluntary". Then another column for 'Turnover Source'[Voluntary/Involuntary]=="Involuntary" and so on. I have not found anywhere that shows me how to do this and when I add in the FILTER function it says that GROUPBY(...) can only work on CURRENTGROUP().
Can some one point me to a resource that will give me the solution I need? I am at a loss, thank you all.
It looks like you may not be aware that you don't have to calculate all possible groupings with DAX formulas.
The very nature of Power BI is that you use a column like "Termination Reason" on an X axis or in the legend of a visual. Any measure that you have created on values of another column, for e.g. a count of all rows, will then automatically be calculated to be grouped by the values in "Termination Reason", giving you a count of each of the values in the column.
You do NOT need DAX functions to calculate the grouping values for each measure for each column value combination.
Here is some simple sample data that has been grouped into dates and colours, one chart showing a count of each colour and one chart showing a sum of the Value column. No DAX was written for that.
If your scenario is different, please explain.
I have a Dashboard with different visuals.
Data is made up of different values for insurance companies.
I want my slicers/filters to not filter all data, but to only highlight the chosen company.
For example, in my slicer I choose the insurance ABN.
Instead of showing me the value for ABN only in my visuals, I want all other values to still be visible and ABN's value to be highlighted in the visuals.
Does anyone know how to do this?
You can use conditional formatting to achieve this. Lets say that we will change the background color to "highlight" a row (or cells, to be precise).
First, we need a slicer, which will not filter our data. We can do this by duplicating our source table, removing the unnecessary columns and making sure there is no relationship between the source and the duplicate. So if we have a source table, named Table, like this:
Right click on it and select Duplicate:
Then right click the title of the column you want to keep and select Remove Other Columns to get a list of company names only (you may also remove the duplicates, but it's not required). Then in the model delete the relation between both tables:
Now you can place a table showing company name and sales from your data source, and a slicer for company name from the duplicate table. At this point selecting values in the slicer should not affect the table.
Now you need to capture the value of the slicer and use it in a measure, which will determine should current row be highlighted or not. You can use SELECTEDVALUE for that, but note that it will give you a value only if there is a one selected in the slicer. If you want to support highlighting of more than one company, it gets a bit more complicated.
Make a new measure in your source table, like this:
Measure = IF(HASONEVALUE('Table (2)'[Company name]);
IF(SELECTEDVALUE('Table (2)'[Company name]) = MAX('Table'[Company name]); 1; 0);
IF(ISFILTERED('Table (2)'[Company name]) && COUNTROWS(FILTER('Table (2)'; 'Table (2)'[Company name] = MAX('Table'[Company name]))); 1; 0))
In case there is only one value selected in the slicer (see HASONEVALUE), then our measure will return 1 (highlight) or 0 (don't), comparing it with the current row.
Otherwise (i.e. there is no selection in the slicer, or there are 2 or more companies selected), then we will look at the filtered list of companies (Table (2)) - if it contains current row, then 1 (highlight), otherwise 0 (don't). But we will also handle the case, where there is no value selected in the slicer. In this case the list will contain all the companies, i.e. all rows will be highlighted. Here comes ISFILTERED. And at the end, if the list is filtered and current row exists in the filtered list, then 1 (highlight), otherwise 0 (don't).
Now, you need to use this measure to change the background of the column - right click each column in your table and select Conditional formatting -> Background color:
Then format by rules, where Measure >= 1 like this:
Now, when there is no selection in the slicer, there are no rows highlighted in the table:
If you select one company, it is highlighted:
It also work if there are multiple companies selected:
Thank you Andrey for your step-by-step explanation which as been incredible helpful. I'd like to follow up with a further question, particularly regarding the comment below.
"You can use SELECTEDVALUE for that, but note that it will give you a
value only if there is a one selected in the slicer. If you want to
support highlighting of more than one company, it gets a bit more
complicated."
In my model, I've linked a third table (Table (3)) to Table (2) with a many to one relationship with Table (2). Therefore when I click on Table (3), it will filter Table (2), which acts as a slicer for Table (1).
When only 1 value is filtered in Table (2), it conditionally formats the cells in Table (1). However, when more than 1 value is filtered in Table (2), conditional formatting fails.
As I'm looking to avoid manually selecting multiple values in the slicer (Table (2)), I was wondering if there's a workaround for SELECTEDVALUE such that it is able to conditionally format when I filter more than 1 value in Table (2).
I have consulted this question - OBIEE Moving Average (Mavg) for 4 weeks on Pivot Table - in order to understand how to do a moving average in OBIEE. However, I am having trouble calculating that item in a pivot table.
In the pivot table view I thought I would just select New Calculated Item and create my moving average function for the pivoted values. Yet, in the "Values From" drop down menu the items I want to average are not present. I believe this may be because they are not extracted data values but previously calculated values from the data (in the original table's columns). I tried selecting "treat as attribute column" but this failed as well. How can I created a moving average within the pivot table for a column that was calculated from the original data?
Looks similar to this:
Pivot Table
ID Value
01 45
02 54
03 65
... ...
Where Value is Amount Sold / Days. And both Amount Sold and Days are stored in the original data table.
Go to the criteria tab and pull in a measure (any measure will do). Now edit that measure's column formula to your formula of Amount Sold / Days. I would rename it as well.
When you click over to the results tab, you will see that column added to all views. Just edit each view and remove the column from the views you do not want to see it in. You can also replace your existing value column in your pivot table (if it was present) with this new calculated column.
Pivot table calculated items are typically used in conjunction with columns that are already in the pivot table.
I can create drop down filter options for each of the dimensions in the spreadsheet: month, description, and type. using data validation and then sum(filter in Google Sheets. I want to include an option in the drop-down to include all months, include all types, etc. The end product would sum the amount based on the filters selected. I can sum(filter based on individual selections but my question is how to sum the amounts if one of the scenarios was: all months, groceries only, all descriptions.
https://docs.google.com/spreadsheet/ccc?key=0AgKUNhffHpmZdHZ3TGNXOUplN1R5UUlUSW5tVVp5b1E#gid=0
You'd have to use a Pivot Table. Then you have all this things in one view.
Select colums A to D. Go to Data/Pivot Table.
Add Month to Rows and Description to Colums (or vise versa) and add Amout to Values.
You'll see a total for all Descriptions/month and Grand total/month and /description.