San Diego Sport News

I have a dataset called MAP_DATA that looks like the below. I have created a measure to calculate the % of regional sales:

% of Regional Sales = DIVIDE(MAP_DATA[$ Sales],MAP_DATA[Total Region $],0)

In this case [$ Sales] and [Total Region $] are measures; [$ Sales] summing the $ Sales field and [Total Region $] is:

Total Region $ = CALCULATE(MAP_DATA[$ Sales], ALLEXCEPT(MAP_DATA,MAP_DATA[Region]))

I have a bubble map visual populated with [City, State] in the Location field, and have added my [% of Regional Sales] measure to the tooltip. When I hover over any bubble, it will accurately give me the % of sales for that city in the region.

However, I have the same map on a second page that is filtered for [Brand] "A" (as a page filter). Now when I hover over a city the % given in the tooltip is tiny, like <1% for most. I am guessing that it's giving me the % of sales for that brand in that city against a total of all brand sales. I cannot get it to calculate properly.

I have tried measures like these two below, neither of which achieve the expected result:

% of Regional Sales =
DIVIDE(MAP_DATA[$ Sales],
CALCULATE(MAP_DATA[Total Region $],
FILTER(ALLSELECTED('MAP_DATA'),'MAP_DATA'[Brand] = MAX('MAP_DATA'[Brand]))))

% of Regional Sales =
DIVIDE(
CALCULATE(
SUMX(
FILTER(
ALLSELECTED(MAP_DATA),
MAP_DATA[Brand] = SELECTEDVALUE('MAP_DATA'[Brand])
),
MAP_DATA[$ Sales]
)
),
CALCULATE(
SUMX(
FILTER(
ALLSELECTED(IRI_MAP),
MAP_DATA[Brand] = SELECTEDVALUE('MAP_DATA'[Brand])
),
MAP_DATA[Total Region $]
)
),
0

Any help here would be immensely appreciated! This seems like something that should just...work...

https://preview.redd.it/onppjbtylkwc1.png?width=331&format=png&auto=webp&s=b5cd8402b6834a35cd0218c74b12c7e35f203e4c

I went to high school in San Diego, and I could not pass tryouts for any teams. I left high school without the experience of being in a sports teams and it sucked. Is it just as competitive as in LA?

I got into UCSD for cognitive science (interested in either design and interaction or machine learning), UCD for Statistics (interested in either Data Science track or the Computational), UCSB for Statistics and Data Science, and UCSC for Applied Math. I also got into some of the CSU's. I'm waiting for LA. This is a hypothetical for if I don't get into UCLA for Data theory.

Right now, I'm leaning between UCSD for cognitive science and UCD for Statistics Data Science track. I took in some pros and cons:

UCSD Pros has more research and opportunities, and more prestige. I want to be able to do an internship and etc. Closer to home, the beach, and is better for STEM. I know some of the students that plan on attending, or go there. Is higher ranked than UCD, and is the largest cognitive science school. Many people have minored in CS, and ended up getting IT jobs in the future.

Cons However, San Diego is more expensive and Cognitive science doesn't have much Computer science courses except for the machine learning and a few others such as design and interaction. While there is more opportunities for internships, idk if I have a chance to practice my instruments as much. Also very competitive.

UCD Pros I have a few friends from both my community college and high school that go there. I heard social life and experiences there are good. Has a marching band. I did band all of high school, and one year at community college, so I have some opportunities to play my trumpet for fun. Close to San Francisco and Sacramento, so technically close to Silicon Valley Heard the stats program there is really good, but I might minor in CS or DS if I have the opportunity.

Cons: It's far from home, and the theme parks. Weather is not as good. There may not have as much opportunities for research.

Overall, I want to be able to get a job in the IT field. I'm leaning towards Data Science as a graduate study, so either can work. However, I want to take advantage of the research opportunities, while also having fun.

Mine is Spectator and Radio! :)

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