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Power BI Desktop
Ribbon
Report view / Power View
Data view
Model view / Power Pivot
Canvas
Filters Visuals Fields
Datasets
p
a
g
e
Report view / Power View
Data view
Model view / Power Pivot /
Data Modelling
Work Order
1
2
3
Data Modelling
Key Concepts
Relationship
Edit Relationship
Bi-Direction cross filtration
Cardinality
A relationship is used to perform data filtration betweentwo tables.
Relationship
If there is no relationship betweenthe tables, the values will be same in
the visual graphs. (It will show aggregatedvalue for all visuals)
This also key
indication in
visual that there
is no relationship
Two types of Relationships
Active Inactive
Relationship
Inactive
Active
We cannot perform Data Filtration
We can perform Data Filtration
Click on “Relationship”
line and right click >
Select properties.
The “Edit relationship”
window will open,
there you can see the
“Make this relationship
active”
Active/Inactive
Relationship
The way of Data
Filtering
Cross Filter Direction
It will define the way of data filtration betweenthe two tables
Example for Cross Filter Direction
DimAccount is connected to FactFinanace with Account key
DimAccount Can filter FactFinance
But
FactFinance Cannot filter DimAccount
Cross filter Direction : Single
In this scenario,
X axis : Details (DimAccount)
Y axis : Values (FactFinance)
Now, we can see the filtration
from DimAccount to FactFinance.
Similarly, in X-axis we update
with FactFinance, in Y-axis we
update with DimAccount.
DimAccount> Operator Column
FactFinance > Amount Column
In X-axis we update with
FactFinance, in Y-axis we
update with DimAccount.
The values are showing 86
for all, it is due to single
direction from DimAccount
to FactFinance.
If we update with Both
direction, the filtration will
take place from FactFinance
to DimAccount.
DimAccount> Operator Column
FactFinance > Amount Column
If we update with Both direction, the
filtration is applied from FactFinance
to DimAccount.

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Power BI Desktop.pdf

  • 2. Ribbon Report view / Power View Data view Model view / Power Pivot Canvas Filters Visuals Fields Datasets p a g e
  • 3. Report view / Power View Data view Model view / Power Pivot / Data Modelling Work Order 1 2 3
  • 4. Data Modelling Key Concepts Relationship Edit Relationship Bi-Direction cross filtration Cardinality
  • 5. A relationship is used to perform data filtration betweentwo tables. Relationship If there is no relationship betweenthe tables, the values will be same in the visual graphs. (It will show aggregatedvalue for all visuals) This also key indication in visual that there is no relationship Two types of Relationships Active Inactive
  • 7. Inactive Active We cannot perform Data Filtration We can perform Data Filtration
  • 8. Click on “Relationship” line and right click > Select properties. The “Edit relationship” window will open, there you can see the “Make this relationship active”
  • 10. Cross Filter Direction It will define the way of data filtration betweenthe two tables
  • 11. Example for Cross Filter Direction DimAccount is connected to FactFinanace with Account key DimAccount Can filter FactFinance But FactFinance Cannot filter DimAccount Cross filter Direction : Single
  • 12. In this scenario, X axis : Details (DimAccount) Y axis : Values (FactFinance) Now, we can see the filtration from DimAccount to FactFinance. Similarly, in X-axis we update with FactFinance, in Y-axis we update with DimAccount. DimAccount> Operator Column FactFinance > Amount Column
  • 13. In X-axis we update with FactFinance, in Y-axis we update with DimAccount. The values are showing 86 for all, it is due to single direction from DimAccount to FactFinance. If we update with Both direction, the filtration will take place from FactFinance to DimAccount. DimAccount> Operator Column FactFinance > Amount Column
  • 14. If we update with Both direction, the filtration is applied from FactFinance to DimAccount.