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FineBI Version
Functional Change
6.0
/
6.0.5
Added the function Columns in other tables.
Added the source table of the added fields in Details.
FineBI has added the function Columns in other tables, which is similar to the funcitions LOOKUP and SUMIF in Excel. By using this function, you no longer need to configure an intermediate table.
If table A and table B have a field that be matchd, you can add a column in table A:
Directly add the fields of table B into table A.
Or summarize the fields of table B according to Match basis and then add them to table A.
Columns in other tables has similar effects as Left and Right Merge in some circumstances, such as merging the fields from other tables to the current table.
However, the advantage of Columns in other tables is to conduct the aggregate calculation based on the Match basis, and then add the calculation results to the current table. This function cannot be achieved with Left and Right Merge and can provide richer merging results.
Create an Analysis Subject and add sample data: Store Info, Product Info, and Product Sales.
The table Product Sales only includes Product Code, without Product Name.
Click Add field > Select the field Product Name from the table Product Info.
What is the basis of the merging between the added field and the current table? So a Match basis is needed here. The current table and the table Product Info both shares the field Product Code, which is also distinguishable. You can add this field as a Match basis.
Since one product code corresponds to only one product name, choosing either maximum or minimum as the Group way will both lead to the Product Name.
The table Store Info includes the basic information of each store. How to use the function Columns in other tables to sum up the sales of each store?
Click Columns in other tables > Add the field Sales from the table Product Sales.
The current table and the table Product Sales both shares the field Store Code, which can be taken as a Match basis.
Group by Store Code > Sum up the sales of grouped stores. Then add the grouped values to the current table.
Select Sum as the Group way: summing up the total sales of each store.
You can choose to summarize the data that meet certain conditions.
Filter out the data after 2019/06/01, to sum up the sales after June 1, 2019.
Click OK to get the total sales of each store after June 1, 2019.
Function
Description
Selecting fields
Select a table B from the current analysis subject and add fields to the table A. You can add multiple fields.
If you select a table from other analysis subjects, all configurations of the field will be reset.
Setting fields
Click and make relevant settings for the fields you have selected.
Group Way
Different field types have different group ways. For details, see Group Summary.
The functions maximum and minimum have been added in Columns in other tables.
Group Condition
Values meeting the filter condition will be grouped and calculated. Empty value will be displayed if values do not meet the condition.
You can add conditions and formulas when setting group conditions, and all fields in table B can be selected in these two ways.
Match basis
There are associated fields in two tables to be matchd. And these two tables will be matchd to the left.
If there are associated fields between fields added and the current table, the Match basis will be automatically added. You can also manually add a Match basis.
You can also set Columns in other tables for the table Store Info.Add fields from the table Product Sales and calculate Order Quantity, Cost Amount, and Sales of each store. Take the field Store Code as a Match basis. The procedures are shown like this:
The effect is shown below:
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