SELECT *
FROM Sales
WHERE [Sales Amount] >= (
SELECT MAX([Sales Amount])
FROM Sales
WHERE [Order Date] = '2007-09-10'
);
EVALUATE
VAR SpecificDateSales =
CALCULATETABLE (
Sales,
Sales[Order Date] = DATE(2007, 9, 10)
)
VAR MaxSalesAmount = MAXX(SpecificDateSales, Sales[Sales Amount])
RETURN
FILTER(
Sales,
Sales[Sales Amount] >= MaxSalesAmount
)
import pandas as pd
# Assuming df_sales is the Sales DataFrame
specific_date_sales = df_sales[df_sales['Order Date'] == '2007-09-10']
max_sales_amount = specific_date_sales['Sales Amount'].max()
filtered_sales = df_sales[df_sales['Sales Amount'] >= max_sales_amount]
| 12345 | 5000.0 | 2007-09-11 | 789 | 12 |
| 54321 | 7500.0 | 2007-09-12 | 456 | 34 |
In DAX, CALCULATETABLE is used to filter the Sales table for sales made on 2007-09-10. The MAXX function is used to compute the maximum sales amount from this filtered table. The FILTER function then returns all sales where the Sales Amount is greater than or equal to this maximum amount.
Leave a Comment