I've been struggling to make it work. I have a dataset with column Country and each record has its own country. I've also created a parameter #Country which is a blank input. What I want to do is to show all records from dataset if parameter is left empty and show records matching country when it is given by user. So far everything works whenever I input a country BUT when I leave it blank then no records are being shown. How can I fix it?
Snippets of code I've tried, ever one with the same result.
FILTER('Dataset', ISBLANK(#Country) || 'Dataset'[Country] = #Country))
FILTER('Dataset', IF(ISBLANK(#Country), 1, 'Dataset'[Country] = #Country))
FILTER('Dataset', IF(ISBLANK(#Country), 'Dataset'[Country], 'Dataset'[Country] = #Country))
FILTER('Dataset', IF(NOT(ISBLANK(#Country)), 'Dataset'[Country] = #Country, 1))
This question is a follow up to another SO question
I want a bar chart to show the amount of orders in a given date or range. Koen's updated answer shows:
'The "Value" is the amount of orders on each day. Update your source query to include a count of the orders and group by day. Then make your value attribute the column that has the count.'
How would I go about doing this?
Summary: I have a table ORDERS which contains column ORDER_DATE. I have created a Chart as a Bar type. I want the chart to show the amount of orders in a given date or range.
I'm following this Youtube tutorial which shows how to create a datepicker that returns a range in a Report. I'm trying to replicate this in a chart.
What I've done so far
Created datepicker items P5_DATE_FROM and P5_DATE_TO
Changed the Series Source Type to SQL Query
select ORDER_ID,
ORDER_NUMBER,
ORDER_DATE,
STORE_ID,
FULL_NAME,
EMAIL,
CITY,
STATE,
ZIP_CODE,
CREDIT_CARD,
ORDER_ITEMS,
APEX$SYNC_STEP_STATIC_ID,
APEX$ROW_SYNC_TIMESTAMP
from ORDERS_LOCAL
where ORDER_DATE between TO_DATE(:P5_DATE_FROM,'YYYY-MM-DD') and TO_DATE(:P5_DATE_TO,'YYYY-MM-DD')
Source Page Items to Submit added P5_DATE_FROM,P5_DATE_TO
I basically followed the exact steps of the video.
However, on the Page Designer I cannot save and run page until I select Column Mapping - Label and Value. I've set the Label as ORDER_DATE but I am unsure of what to select for the Value.
Setting the Value to ORDER_DATE shows an error Ajax call returned server error ORA-01403: no data found for CHART Count Orders by Date.
and selecting any other Value such as ORDER_NUMBER or ZIP_CODE populates the chart with the actual integer value of the column (ex: ZIP_CODE returns a chart of x-axis: date, y-axis: actual zip code numbers)
-----------UPDATE----------
Per Koen's answer, I've updated the Source SQL Query to below but I am now receiving an error.
And if I copy the exact query that Koen suggested, I run into below:
I did some messing around and found if I include APEX$SYNC_STEP_STATIC_ID and APEX$ROW_SYNC_TIMESTAMP the missing expression error goes away but instead I receive the GROUP BY error.
Something like this (untested) should work. Use TRUNC to ensure all orders on the same date are grouped (since date has a time portion, you'd have a different column for each different date time. Use ORDER_DATE as label and ORDER_COUNT as value.
select COUNT(ORDER_ID) AS ORDER_COUNT,
TRUNC(ORDER_DATE) AS ORDER_DATE,
from ORDERS_LOCAL
where ORDER_DATE between TO_DATE(:P5_DATE_FROM,'YYYY-MM-DD') and TO_DATE(:P5_DATE_TO,'YYYY-MM-DD')
GROUP BY TRUNC(ORDER_DATE)
I have a table with user License Details. And there are cases where I have multiple rows for a same user but with different License type. I want to Identify the users who have Admin License via DAX Calculated Column.
Eg: My table will be like this where User A has multiple rows with 1 Admin License
And I am expecting a result like this where User A is marked as True for all his Row enteries
So in short I want to Flag the user as True on all his rows if he has at least one Admin License.
I hope my explanation was clear.
Have a good day !!!
Best Regards,
Pratik
To display all Trues when the user has at least one admin right, first you need to create a index column using the following formula:
index = IF(Sheet1[License]="Admin",1,0)
Next, based on the result of the index column then you will be able to display the correct output with following formula:
status =
var index1 = CALCULATE(SUM(Sheet1[index]),
FILTER(Sheet1,Sheet1[User]=EARLIER(Sheet1[User])))
return
IF(index1 > 0,"True","False")
Table result:
I am working on a Viewership table which tells which customer watches which asset. Based on the asset filter, I need to display the customers who watched the show & customers who didn't watched the show. below is my example table
If the asset_id selected as 1 in the slicer, the desired output will be as below
I have tried creating a cross-join table with asset_id and customer_id , but that approach taking much time with large data. Request the experts here to suggest the best optimal solution to achieve this.
First, create a new table "Asset":
This table contains unique assets, and we will use it to create a slicer that affects DAX measure but does not affect the visual (table). To achieve that, the Asset table must be disconnected from the Viewership table (no relationships).
In your viewership table, I just renamed "asset" to "asset_id", to be consistent:
Next, create a measure:
Status =
VAR Selected_Asset = SELECTEDVALUE(Asset[asset_id])
VAR Customer_Asset = SELECTEDVALUE(Viewership[asset_id])
RETURN
IF(Customer_Asset = Selected_Asset, "Watched", "Not Watched")
Result:
Slicer here is created from the "Asset" table, and table is a table visual with customer_id and asset_id from the Viewership table (set them as "don't summarize" values). I turned off "total", assuming you don't need it.
This design requires to set Asset slicer to "single selection" mode, to make sure that you are only getting one value from it. If you want the model to work with multi-select slicer, change DAX measure as follows:
Multi Status =
VAR Selected_Assets = ALLSELECTED(Asset[asset_id])
VAR Customer_Asset = SELECTEDVALUE(Viewership[asset_id])
RETURN
IF(Customer_Asset IN Selected_Assets, "Watched", "Not Watched")
Result:
Edit:
To make it work at the customer level:
Customer Status =
VAR Selected_Assets = ALLSELECTED(Asset[asset_id])
VAR Customer_Assets = VALUES(Viewership[asset_id])
VAR Assets_Watched = COUNTROWS(INTERSECT(Customer_Assets, Selected_Assets))
RETURN
IF(Assets_Watched > 0, "Watched", "Not Watched")
Result:
Explanation: store selected assets in a table variable. Then, store assets visible per customer in another table variable. Find an intersect of the two tables (what they have in common), and count intersect rows. If none - not watched, otherwise watched. If you want, you can actually display the number of movies watched (just return "Assets_Watched" instead of IF statement).
We are trying to implement a dashboard that displays various tables, metrics and a map where the dataset is a list of customers. The primary filter condition is the disjunction of two numeric fields. We want to the user to be able to select a threshold for [field 1] and a separate threshold for [field 2] and then impose the condition [field 1] >= <threshold> OR [field 2] >= <threshold>.
After that, we want to also allow various other interactive slicers so the user can restrict the data further, e.g. by country or account manager.
Power BI naturally imposes AND between all filters and doesn't have a neat way to specify OR. Can you suggest a way to define a calculation using the two numeric fields that is then applied as a filter within the same interactive dashboard screen? Alternatively, is there a way to first prompt the user for the two threshold values before the dashboard is displayed -- so when they click Submit on that parameter-setting screen they are then taken to the main dashboard screen with the disjunction already applied?
Added in response to a comment:
The data can be quite simple: no complexity there. The complexity is in getting the user interface to enable a disjunction.
Suppose the data was a list of customers with customer id, country, gender, total value of transactions in the last 12 months, and number of purchases in last 12 months. I want the end-user (with no technical skills) to specify a minimum threshold for total value (e.g. $1,000) and number of purchases (e.g. 10) and then restrict the data set to those where total value of transactions in the last 12 months > $1,000 OR number of purchases in last 12 months > 10.
After doing that, I want to allow the user to see the data set on a dashboard (e.g. with a table and a graph) and from there select other filters (e.g. gender=male, country=Australia).
The key here is to create separate parameter tables and combine conditions using a measure.
Suppose we have the following Sales table:
Customer Value Number
-----------------------
A 568 2
B 2451 12
C 1352 9
D 876 6
E 993 11
F 2208 20
G 1612 4
Then we'll create two new tables to use as parameters. You could do a calculated table like
Number = VALUES(Sales[Number])
Or something more complex like
Value = GENERATESERIES(0, ROUNDUP(MAX(Sales[Value]),-2), ROUNDUP(MAX(Sales[Value]),-2)/10)
Or define the table manually using Enter Data or some other way.
In any case, once you have these tables, name their columns what you want (I used MinNumber and MinValue) and write your filtering measure
Filter = IF(MAX(Sales[Number]) > MIN(Number[MinCount]) ||
MAX(Sales[Value]) > MIN('Value'[MinValue]),
1, 0)
Then put your Filter measure as a visual level filter where Filter is not 0 and use MinCount and MinValues column as slicers.
If you select 10 for MinCount and 1000 for MinValue then your table should look like this:
Notice that E and G only exceed one of the thresholds and tha A and D are excluded.
To my knowledge, there is no such built-in slicer feature in Power BI at the time being. There is however a suggestion in the Power BI forum that requests a functionality like this. If you'd be willing to use the Power Query Editor, it's easy to obtain the values you're looking for, but only for hard-coded values for your limits or thresh-holds.
Let me show you how for a synthetic dataset that should fit the structure of your description:
Dataset:
CustomerID,Country,Gender,TransactionValue12,NPurchases12
51,USA,M,3516,1
58,USA,M,3308,12
57,USA,M,7360,19
54,USA,M,2052,6
51,USA,M,4889,5
57,USA,M,4746,6
50,USA,M,3803,3
58,USA,M,4113,24
57,USA,M,7421,17
58,USA,M,1774,24
50,USA,F,8984,5
52,USA,F,1436,22
52,USA,F,2137,9
58,USA,F,9933,25
50,Canada,F,7050,16
56,Canada,F,7202,5
54,Canada,F,2096,19
59,Canada,F,4639,9
58,Canada,F,5724,25
56,Canada,F,4885,5
57,Canada,F,6212,4
54,Canada,F,5016,16
55,Canada,F,7340,21
60,Canada,F,7883,6
55,Canada,M,5884,12
60,UK,M,2328,12
52,UK,M,7826,1
58,UK,M,2542,11
56,UK,M,9304,3
54,UK,M,3685,16
58,UK,M,6440,16
50,UK,M,2469,13
57,UK,M,7827,6
Desktop table:
Here you see an Input table and a subset table using two Slicers. If the forum suggestion gets implemented, it should hopefully be easy to change a subset like below to an "OR" scenario:
Transaction Value > 1000 OR Number or purchases > 10 using Power Query:
If you use Edit Queries > Advanced filter you can set it up like this:
The last step under Applied Steps will then contain this formula:
= Table.SelectRows(#"Changed Type2", each [NPurchases12] > 10 or [TransactionValue12] > 1000
Now your original Input table will look like this:
Now, if only we were able to replace the hardcoded 10 and 1000 with a dynamic value, for example from a slicer, we would be fine! But no...
I know this is not what you were looking for, but it was the best 'negative answer' I could find. I guess I'm hoping for a better solution just as much as you are!