This post just shows the comparison of streamgraph in Power BI Custom Visual and R Script Visual.
Power BI Desktop
We have a streamgraph custom visual available in Power BI. Download and import into Power BI Desktop.
Here I used a very simple dataset to explore the visual.
Pass the above dataset values to chart.
To get the streamgraph visuals, we need to install the streamgraph package and other supporting packages .
Run the below script in R Studio or R console application.
# Create data:
year=rep(seq(2000,2005) , each=1)
data=data.frame(year, name, value)
streamgraph(data, key=”name”, value=”value”, date=”year”)
|Power BI Desktop||R Studio|
|Import Streamgraph visual||Install Streamgraph and related packages|
|Visual values are keep
amending on the initial value
|Identifies the maximum value and accommodate all the values within the maximum range|
|It is not interactive||It is interactive|
|GUI Type||R Script Type|
|Can’t export as HTML||Can export as HTML|
SQL Server Reporting Services has pre-defined roles for security.
Each role has set of access which explored below. We can customise these roles or create a new role by connecting reporting services in SQL Server Management Studio.
In Power BI, you can use the pre-defined function CALENDARAUTO() to create date table with a column called “Date”. It will generate a date for current 1 year by default.
This above function will only work when you have a model with at least one column with date or datetime data type.
In the below screenshot, I tried to use CALENDARAUTO() function in an empty model.
You can see the warning message above.
“CALENDARAUTO() function can not find a base column of DateTime type in the model”
In the same scenario, I just added a simple table with one date data type column then I used the CALENDARAUTO() in a new table and this time I got the expected result.
Happy Learning. Share your comments.
This article explains you the possibilities of passing the parameters in mobile report URL.
When we run the mobile report in report manager, usually it will open a URL with folder and report name as like below,
We have many scenarios where we need to build the shared dataset with one or multiple parameters. To filter the data either we can add the selection list in mobile report and pass the selected item value to shared dataset or we can control through mobile report URL
We can pass the parameter to the above URL followed with “?”. The syntax will be like below,
https://<report manager>/<folder>/<report name>?<datasetname>.@<parametername>=value
If you have multiple parameters in your dataset then you need to add “&” symbol followed by your first parameter.
https://<report manager>/<folder>/<report name>?<datasetname>.@<parametername1>=value&<datasetname>.@<parametername2>=value
Single Parameter with Multiple values -Repeated
To pass multiple values to single parameter then we need to repeat the same parameter with different values.
https://<report manager>/<folder>/<report name>?<datasetname>.@<parametername1>=value1&><datasetname>.@<parametername1>=value2
Multiple Parameter with Multiple values -Repeated
To pass multiple values to multiple parameters then we need to repeat the parameters with different values.
https://<report manager>/<folder>/<report name>?<datasetname>.@<parametername1>=value1&<datasetname>.@<parametername1>=value2&<datasetname>.@<parametername2>=value1&<datasetname>.@<parametername2>=value2
Parameter with Multiple values with Comma separated
We can pass multiple values with just comma separated. It eliminates the scenario of repeating the parameter with different values.
To get this solution, need to set up the shared dataset to support multiple values.
https://<report manager>/<folder>/<report name>?<datasetname>.@<parametername1>=value1,value2,value3<datasetname>.@<parametername2>=value1,value2,value3
Stored Procedure with custom option
The reason for using the stored procedure is to pass “ALL” values instead of trying all values with comma separated.
https://<report manager>/<folder>/<report name>?<datasetname>.@<parametername1>=ALL<datasetname>.@<parametername2>=value1
Microsoft SQL Server 2016 Reporting Services has multiple new features. One of the features is Branding. It enables us to customise the Report Manager Portal with our preferred colours, logo and custom colours for mobile reports, etc.
You need two files to make your own branding.
The template for the above files are available in online. You can download here and start to customise it.
There is a possibility that you can get the below error.
Actually, this error is self-explanatory and the solution is very simple.
Need to zip the above 2 files and upload that in Report manager branding section.
The reason for Error:
If you are stored the files in a folder and zip the whole folder and try to upload in branding then you will get the above error message.
Select those files and right click and choose to send to ->Compressed. Now you can upload the file.
This simple post highlights the top level updates on components in SQL Server Management Studio.
The latest release of SQL Server Management Studio v17 RC3 has updates on below section compare than the earlier version.
The drillthrough option is more familiar to us as it is one of the options in SSRS and we use this option in almost all reporting projects.
We have a same drillthrough option available in the latest release of SSRS 2016 Mobile reports. The mechanism of the option is same for both the cases (RDL Report & Mobile Report).
We need two reports. We can pass the value from one report to another to filter the data in the second report.
This article explains that how we can configure drillthrough in Mobile report.
Considering above pre-requisites are fulfilled.
Follow the below steps to configure DrillThrough
Step 1: Open a mobile report publisher
Step 2: Drag and drop the report elements and add the data for those elements
Step 3: Choose the report element where you need to apply the drill through.
Step 4: Click “Drillthrough target”. You can see two options, 1. Mobile report 2.Custom URL
Step 5: Choose Mobile report option. It will show all your mobile reports in report manager
Step 6: Choose the report which has the parameter on it.
Step 7: Choose the field of the first report as an input parameter for the second report.
Step 8: Save the report and open in report manager.
Step 9: Click the value from the drillthrough column. It will redirect to the second report with filtered value.
To remove or edit the drill through, click the same Drillthrough target.
There is no drillthrough option available for below report elements
Configuring a cascading parameter for SSRS report is easy. We used to play with multiple datasets. To make it simple, if we have two parameters in a report, the second parameter values are based on first parameter selected value.
I have following two parameters in a report.
Country Parameter will show all the available country and city parameter will show all the cities irrespective of country. In a business scenario, this needs to be fixed as users will expect to see only cities relevant to the countries.
If user Selects India, then the city should show only the cities from India.
Check out my below post for cascading parameter in SSRS report.
The same logic can be applied in SSRS mobile report but with different procedure.
In this scenario, I am taking AdventureWorksDW database for better understanding.
Follow the below steps,
Step 1: Create a shared Dataset and deploy to report manager.
Step 2: Open Mobile report publisher and add the shared dataset. In this case dataset from AdventureWorksDW database.
Step 3: Drag and Drop two selection list. You can maximise or minimise to show only one value at a time as like below.
Step 4: Go to Data and Add data. Here I added a shared dataset which contains Product Category Name and Product Subcategory Name fields.
Step 5: Rename the Selection list 1 to Category and selection list 2 to Sub Category
Step 6: Choose our dataset for both the selection lists. Make sure to choose Category Key and label for selection list 1 and Subcategory Key and Label for selection list 2.
Step 7: Add the checkbox on “Filter these dataset when selection is made”. Choose the Product Category.
Step 8: Click the options on subcategory data, choose Category check box under “Filtered by”
Step 9: By default “Allow select all” option is ON, now off for both the selection list.
Step 10: Preview the report. You can check the sub category shows only Bike information. If we choose some other value in category then it will show respective sub category results.