Rank categories by sum (Power BI) - powerbi

Question

I need to rank products for my dashboard. Each day, we store sales of products. In 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 actualy 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 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 improving my ranking system and get a marvelous 1, 2, 3 instead of this ugly and not practical 1, 5, 9 ?
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Answer 1

Fortunately, this is an easy fix.
If you look at the documentation for the RANKX function, you'll notice an optional ties argument which you can set to Skip or Dense. The default is Skip but you want Dense. Try this:
rank =
RANKX(
ALL(Table1);
Table1[sum];
;;
"Dense"
)
(Those extra ; delimiters are there since we aren't specifying the optional value or order arguments.)