Microsoft Business Intelligence
Tuesday, 7 June 2016
Monday, 6 June 2016
Sparkline in SSRS
Sparkline:( Multiple values)
Sparkline is kind of line report
Usually data bar show single data value whereas Sparkline is used to indicate multiple data values over a
period of time.
Here vertical axis represent value whereas horizontal axis usually represents time.
Sparkline is intended to show the trend in measure values and how it is fluctuating.
Prepare Dataset : DataSet_Sparkline
SELECT
DimDate.CalendarYear,
DimProductCategory.EnglishProductCategoryName AS Category,
SUM(FactResellerSales.OrderQuantity) AS OrderQuantity, SUM(FactResellerSales.SalesAmount) AS
SalesAmount, AVG(FactResellerSales.SalesAmount) AS AvgSales, DimDate.EnglishMonthName,
DimDate.MonthNumberOfYear
FROM
DimDate INNER JOIN
FactResellerSales ON DimDate.DateKey =
FactResellerSales.DueDateKey
INNER JOIN DimProduct ON
DimProduct.ProductKey =
FactResellerSales.ProductKey
INNER JOIN DimProductSubcategory ON
DimProductSubcategory.ProductCategoryKey =
DimProduct.ProductSubcategoryKey INNER
JOIN DimProductCategory ON
DimProductCategory.ProductCategoryKey =
DimProductSubcategory.ProductCategoryKey
GROUP BY DimDate.CalendarYear, DimProductCategory.EnglishProductCategoryName,
DimDate.EnglishMonthName,
DimDate.MonthNumberOfYear
Design :
now add a sparkline control--configure it
output :
same as above we can can group it --Category wise also our sparkline. but above line showing overall salesmount. ( in 2002---may some month don't have sales then need to know --configure as monthwise)
now output :
Data Bar in SSRS
Data Bar : (Single value)
The data bar is a new visualization (2008 R2) that essentially provides a bar chart to convey a lot of
information in a little space.
Data bars are often used in table and matrices
This enables you to easily compare the data in one row to another based on the relative length of their
data bars.
Data bars can represent multiple data points, but typically illustrate only one.
Data bars usually depict single value in a cell.
We cannot add a data bars to a detail group in a table.
By default when you create a databar you cannot see axis, legend etc.
Prepare a Dataset :
Compare the values(Numaric ) in row we have to use DataBar control.
it supporting Grouping Tablix or Particular column also possiable.
The data bar is a new visualization (2008 R2) that essentially provides a bar chart to convey a lot of
information in a little space.
Data bars are often used in table and matrices
This enables you to easily compare the data in one row to another based on the relative length of their
data bars.
Data bars can represent multiple data points, but typically illustrate only one.
Data bars usually depict single value in a cell.
We cannot add a data bars to a detail group in a table.
By default when you create a databar you cannot see axis, legend etc.
Prepare a Dataset :
Select
DimSalesTerritory.SalesTerritoryGroup,DimDate.CalendarYear,
SUM(FactResellerSales.SalesAmount) As SalesAmt
From
DimSalesTerritory INNER JOIN
FactResellerSales ON DimSalesTerritory.SalesTerritoryKey
=FactResellerSales.SalesTerritoryKey INNER
JOIN
DimDate ON
FactResellerSales.OrderDateKey=
DimDate.DateKey
GROUP BY DimSalesTerritory.SalesTerritoryGroup,DimDate.CalendarYear
Design :
then
Now observe it
Now we will make them Grouping SalesTerritory Group wise.
difference -- Yearwise
1. Yearwise
2. SaleTerritoryGroup
Compare the values(Numaric ) in row we have to use DataBar control.
it supporting Grouping Tablix or Particular column also possiable.
Chart Control in SSRS
In SSRS we many rich Data Visualization controls---like Chart,Data Bar,Sparklinke,Gauage.
advantages :
vast infomation is represented through Data visualization control/Graphical representation.
Chart
Bar Chart
Sparkline
Gauge
Working with Chart :
Chart Report contains three sections:
3. Series Section (Series Group) The chart control can also layer multiple sets of data onto the same chart. Each layer is called a series
Prepare a Dataset
now
Grouping Yearwise overwise graph ---Serices
i customized as above chart. and Each year is a data point(we can consider as data bar) with different colors(we can customize these yearwise colors also). multiple data points is possiable in chart control
Note:
This bar chart showing Yearwise ---as --color bar but not amount, sales is SUM Amount of the Year.
advantages :
vast infomation is represented through Data visualization control/Graphical representation.
Chart
Bar Chart
Sparkline
Gauge
Working with Chart :
Chart Report contains three sections:
- Data Section (Values): Represent actual data means values along Y-Axis. Values must be a numeric data type.
3. Series Section (Series Group) The chart control can also layer multiple sets of data onto the same chart. Each layer is called a series
Prepare a Dataset
SELECT DimSalesTerritory.SalesTerritoryCountry, DimDate.CalendarYear, DimDate.CalendarQuarter,FactInternetSales.SalesAmount
FROM
DimSalesTerritory INNER JOIN
FactInternetSales ON DimSalesTerritory.SalesTerritoryKey
= FactInternetSales.SalesTerritoryKey
INNER JOIN
DimDate ON FactInternetSales.OrderDateKey
= DimDate.DateKey
Chart :
now
Grouping Yearwise overwise graph ---Serices
i customized as above chart. and Each year is a data point(we can consider as data bar) with different colors(we can customize these yearwise colors also). multiple data points is possiable in chart control
Note:
This bar chart showing Yearwise ---as --color bar but not amount, sales is SUM Amount of the Year.
Sunday, 5 June 2016
Parameter as Filter in SSRS
If we want to make a Dataset as Shared Dataset---Datasource
also be a sharedDataSource.
Query :
Select DimDate.CalendarYear,DimReseller.BusinessType,SUM(FactResellerSales.SalesAmount) as TotalSales,
DimDate.EnglishMonthName,DimDate.CalendarQuarter,SUM(FactResellerSales.TaxAmt) as Totaltax
From DimReseller INNER JOIN
FactResellerSales ON DimReseller.ResellerKey=FactResellerSales.ResellerKey INNER JOIN
DimDate ON FactResellerSales.OrderDatekey=DimDate.DateKey
Group by DimDate.CalendarYear,DimReseller.BusinessType,DimDate.EnglishMonthName,DimDate.CalendarQuarter
Query :
Select DimDate.CalendarYear,DimReseller.BusinessType,SUM(FactResellerSales.SalesAmount) as TotalSales,
DimDate.EnglishMonthName,DimDate.CalendarQuarter,SUM(FactResellerSales.TaxAmt) as Totaltax
From DimReseller INNER JOIN
FactResellerSales ON DimReseller.ResellerKey=FactResellerSales.ResellerKey INNER JOIN
DimDate ON FactResellerSales.OrderDatekey=DimDate.DateKey
Group by DimDate.CalendarYear,DimReseller.BusinessType,DimDate.EnglishMonthName,DimDate.CalendarQuarter
shareddataset has query/storeprocedure other datasets which are refereced this query/stroedprocedure.
Filters: We can apply Filters at while design Dataset itself.
without filter Yearwise getting the matrix report:
without filter Yearwise getting the matrix report:
1. Apply Filter at Dataset level.
Dataset--Properties--> Filters
output :
2. Adding Filter at DataResign level.( Matrix Report level)
We can
apply Filter at Runtime---end user prospective also.
then Apply Filter
output for both is same. we have wonderful advantage is Tablix data region Filter is upto that resigion only. which should not effect other data region.
Example : Add a table ---CalenderYear wise then--set visiablity property also.
set visiablity property for--DrillDown --option
output :
we can apply Filter at Group level also
Now done(Dataset,DataRegions,Grouplevel Filter) .-----done at report design time itself.
Best Practice :
we given option to end user to apply at runtime this Filter option. for this delete existing applied Fitler from above Matrix report--Tablix Filter
now we created a parameter--@Year --with 4 year( 2005,2006,2007,2008).
Now we can apply this parameter at any level --same as above(Dataset,Tablix,Grouplevel)
Dataset level :
=Parameters!Year.Value
output
Apply @Year at Tablix level also which doesn' effect other regions.
Query :
SELECT DimDate.CalendarYear, DimReseller.BusinessType, SUM(FactResellerSales.SalesAmount) AS TotalSales, DimDate.EnglishMonthName, DimDate.CalendarQuarter, SUM(FactResellerSales.TaxAmt)
AS TotalTax
FROM DimReseller INNER JOIN
FactResellerSales ON DimReseller.ResellerKey = FactResellerSales.ResellerKey INNER JOIN
DimDate ON FactResellerSales.OrderDateKey = DimDate.DateKey
GROUP BY DimReseller.BusinessType, DimDate.CalendarYear, DimDate.EnglishMonthName, DimDate.CalendarQuarter
Query :
SELECT DimDate.CalendarYear, DimReseller.BusinessType, SUM(FactResellerSales.SalesAmount) AS TotalSales, DimDate.EnglishMonthName, DimDate.CalendarQuarter, SUM(FactResellerSales.TaxAmt)
AS TotalTax
FROM DimReseller INNER JOIN
FactResellerSales ON DimReseller.ResellerKey = FactResellerSales.ResellerKey INNER JOIN
DimDate ON FactResellerSales.OrderDateKey = DimDate.DateKey
GROUP BY DimReseller.BusinessType, DimDate.CalendarYear, DimDate.EnglishMonthName, DimDate.CalendarQuarter
Subscribe to:
Comments (Atom)



























