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12-10-2025 19:51 PM
This Power BI report display historical trends from 2018–2023 of the Ozone Season Heat Input (MMBtu) across U.S. states and fuel types. It highlight the developement of a customized matrix visual for displaying the Yearly record along with the CAGR %, shared %, and YOY % on a Martix table with a dynamic state slicer for environmental compliance and emissions analysis across states.
This is a continuous project :
1st : Adjusting-Unadjusted-Emissions-with-AI-Solution
2nd : Updated view - 2022 Unadjusted NOx Emissions
_M KPI_Selector_Value =
VAR _id = SELECTEDVALUE ( KPI_MatrixAxis[ID] )
VAR _display = SELECTEDVALUE ( KPI_MatrixAxis[Display] )
VAR _year = IF ( _id = 1, VALUE ( _display ) )
VAR YearlyTotal =
CALCULATE (
[Total HTIOZ],
REMOVEFILTERS ( 'Unadjusted Annual Unit'[Data Year] ),
KEEPFILTERS ( 'Unadjusted Annual Unit'[Data Year] = _year )
)
VAR YoY = [_YOY % HTIOZD Data]
VAR CAGR = [3Y CAGR HTIOZ]
VAR Share_of_Total = DIVIDE ( [Total HTIOZ], CALCULATE ( [Total HTIOZ], ALLSELECTED ( 'Unadjusted Annual Unit' ) ) )
RETURN
SWITCH (
TRUE(),
_id = 1, FORMAT(YearlyTotal,"#,##"),
_id = 2, YoY , --FORMAT(YoY,"0.0%"),
_id = 3, CAGR, -- FORMAT(CAGR,"0.0%"),
_id = 4, FORMAT(Share_of_Total,"0.0%"),
BLANK()
)
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