I need to rank products for my dashboard. Each day, we store the sales of products. In the result we have this dataset example:
+-----------+------------+-------+
| product | date | sales |
+-----------+------------+-------+
| coffee | 11/03/2019 | 15 |
| coffee | 12/03/2019 | 10 |
| coffee | 13/03/2019 | 28 |
| coffee | 14/03/2019 | 1 |
| tea | 11/03/2019 | 5 |
| tea | 12/03/2019 | 2 |
| tea | 13/03/2019 | 6 |
| tea | 14/03/2019 | 7 |
| Chocolate | 11/03/2019 | 30 |
| Chocolate | 11/03/2019 | 4 |
| Chocolate | 11/03/2019 | 15 |
| Chocolate | 11/03/2019 | 10 |
+-----------+------------+-------+
My attempt
I actually managed to Rank my products but not in the way I wanted it; In fact, the ranking process increase by the number of rows. for example, chocolate is first but we record 4 rows so coffee is ranked at 5 and not 2.
+-----------+------------+-------+-----+------+
| product | date | sales | sum | rank |
+-----------+------------+-------+-----+------+
| coffee | 11/03/2019 | 15 | 54 | 5 |
| coffee | 12/03/2019 | 10 | 54 | 5 |
| coffee | 13/03/2019 | 28 | 54 | 5 |
| coffee | 14/03/2019 | 1 | 54 | 5 |
| tea | 11/03/2019 | 5 | 20 | 9 |
| tea | 12/03/2019 | 2 | 20 | 9 |
| tea | 13/03/2019 | 6 | 20 | 9 |
| tea | 14/03/2019 | 7 | 20 | 9 |
| Chocolate | 11/03/2019 | 30 | 59 | 1 |
| Chocolate | 11/03/2019 | 4 | 59 | 1 |
| Chocolate | 11/03/2019 | 15 | 59 | 1 |
| Chocolate | 11/03/2019 | 10 | 59 | 1 |
+-----------+------------+-------+-----+------+
sum field formula:
sum =
SUMX(
FILTER(
Table1;
Table1[product] = EARLIER(Table1[product])
);
Table1[sales]
)
rank field formula :
rank = RANKX(
ALL(Table1);
Table1[sum]
)
As you can see, we get the following ranking:
- 1: Chocolate
- 5: Coffee
- 9: Tea
Improvements
I would like to transform the previous result into :
- 1: Chocolate
- 2: Coffee
- 3: Tea
Can you help me improve my ranking system and get a marvelous 1, 2, 3 instead of this ugly and not practical 1, 5, 9?
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