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We have following two tables "Shop Transaction" and "Organization Tree".
Use PowerBI desktop to create a Sankey chart using these data.
Note that:
Shop Transaction
Organization Tree
Output Sankey data format
Output Sanky format
Solved! Go to Solution.
Step 0: I use these DATA Tables below. (I add some dammy data to 'Shop Transactions' table.)
Step 1: I add a column to these 2 tables each.
Step 2: I merge 2 tables.
- Before -
- After -
Step 3: I sort 'Shop Transactions' table with 'shop no' column and 'date'column.
Step 4: I fill down 'Parent' column.
Step 0: I use these DATA Tables below. (I add some dammy data to 'Shop Transactions' table.)
Step 1: I add a column to these 2 tables each.
Step 2: I merge 2 tables.
- Before -
- After -
Step 3: I sort 'Shop Transactions' table with 'shop no' column and 'date'column.
Step 4: I fill down 'Parent' column.
Hi @pbsamar
Based on your desired result, it looks like a Decomposition Tree is more what you are after rather than a Sankey Diagram?
Either way, there's no way to relate the Shops in the first table to the Districts. How do you know which District the Shop1 and Shop21's belong to?
Regards
Phil
Proud to be a Super User!
Based on 'date' from "Shop Transactions" and 'start date' from "Organization Tree" , a 'region' column need to be
created, which should look like :
date | shop no | check | sale amount | Region |
2-Jun-24 | shop1 | 1 | 10 | district1 |
3-Jun-24 | shop1 | 2 | 20 | district1 |
4-Jun-24 | shop1 | 3 | 30 | district1 |
5-Jun-24 | shop1 | 4 | 40 | district2 |
6-Jun-24 | shop1 | 5 | 50 | district2 |
7-Jun-24 | shop1 | 6 | 60 | district2 |
2-Jun-24 | shop2 | 1 | 10 | district1 |
4-Jun-24 | shop2 | 3 | 30 | district1 |
5-Jun-24 | shop2 | 4 | 40 | district1 |
6-Jun-24 | shop2 | 5 | 50 | district1 |
7-Jun-24 | shop2 | 6 | 60 | district1 |
2-Jun-24 | shop21 | 1 | 1 | district2 |
3-Jun-24 | shop21 | 2 | 2 | district2 |
4-Jun-24 | shop21 | 3 | 3 | district2 |
5-Jun-24 | shop21 | 4 | 4 | district1 |
6-Jun-24 | shop21 | 5 | 5 | district1 |
7-Jun-24 | shop21 | 6 | 6 | district1 |
3-Jun-24 | shop22 | 2 | 20 | district2 |
4-Jun-24 | shop22 | 3 | 30 | district2 |
5-Jun-24 | shop22 | 4 | 40 | district2 |
6-Jun-24 | shop22 | 5 | 50 | district2 |
7-Jun-24 | shop22 | 6 | 60 | district2 |
Regards,
pbsamar