π What You’ll Learn:
π How to analyze year-over-year Sales, Profit, Orders, and Returns growth
π Region-wise performance breakdown: West, East, Central, South
ποΈ Segment-wise sales contribution: Corporate, Consumer, Home Office
π§Ύ Category-wise sales: Technology, Furniture, Office Supplies
πΊοΈ Sales mapping by Country/Region (Canada vs United States)
π Visual storytelling using trend lines, bar charts, pie charts, and maps
DAX Codes Used in the project are as follows:
DateTable =
CALENDAR(DATE(2021, 1, 1), DATE(2025, 12, 31))
CY_Flag = IF(YEAR('DateTable'[Date]) = 2024, 1, 0)
PY Sales =
CALCULATE(
SUM(Orders[Sales]),
'DateTable'[Year] = YEAR(TODAY())-2
)
YoY% =
DIVIDE(
[CY Sales] - [PY Sales],
[PY Sales],
0
)
YoY Label =
VAR Change = [YoY%]
RETURN
IF(Change >= 0, "β² ", "βΌ ") & FORMAT(Change, "0.00%")
CY Orders =
CALCULATE(
DISTINCTCOUNT(Orders[Order ID]),
'DateTable'[CY_Flag] = 1
)
ReturnedOrdersWithDates =
ADDCOLUMNS(
DISTINCT(
FILTER(Returns, Returns[Returned] = "Yes")
),
"Order Date", LOOKUPVALUE(Orders[Order Date], Orders[Order ID], Returns[Order ID])
)
