Calculate dynamic MIN/MAX of SUM

[Anonymous]

I have a simple dataset like below:

type	month	year	value
A	Jan	2017	20
A	Feb	2017	2
A	Mar	2017	14
A	Jan	2018	9
A	Feb	2018	30
A	Mar	2018	3
A	Jan	2019	17
A	Feb	2019	15
A	Mar	2019	30
B	Jan	2017	9
B	Feb	2017	9
B	Mar	2017	19
B	Jan	2018	24
B	Feb	2018	17
B	Mar	2018	17
B	Jan	2019	20
B	Feb	2019	9
B	Mar	2019	19
C	Jan	2017	26
C	Feb	2017	24
C	Mar	2017	28
C	Jan	2018	29
C	Feb	2018	10
C	Mar	2018	18
C	Jan	2019	29
C	Feb	2019	16
C	Mar	2019	14

Goal is to create two MIN/MAX measures that capture the MIN/MAX of sum of any combination (determined by slicer) of the types (A, B and C) for each month across the years so that i can create a seasonal chart like below (sum of A & B), with the MIN/MAX measures set as Upper bound & Lower bound in Error Bars:

Thanks very much in advance!

[Anonymous]

New question arises.... how do I hide e.g. 2017 from legends and yet still display the same MIN/MAX like the below?

[Anonymous]

sum_value = CALCULATE ( SUM( table[value] ), ALLSELECTED( table[type] ) )

max_of_sum = MAXX( ALLSELECTED( table[type], table[year] ), table[sum_value] )

min_of_sum = MINX( ALLSELECTED( table[type], table[year] ), table[sum_value] )

Have played around a bit, the above seems to work - would love some confirmation here?

Thanks vm