3 quick Excel tips every data analyst should know:
1. Ctrl + Shift + L = Filters
2. ALT + E + S + V = Paste Values
3. F4 = Repeat last action
#ExcelTips#DataAnalytics
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1️⃣ 🎥 Video Editing:
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2️⃣…
DAX makes your Power BI reports more dynamic, insightful, and powerful, helping you analyze data more effectively!
Which of these functions do you use most often? Or do you have a favorite not listed here? Let’s discuss in the comments!
9. YEAR – Extract the year from a transaction date.
Transaction Year = YEAR(Sales[TransactionDate])
10. DATESYTD – Calculate year-to-date sales.
YTD Sales = TOTALYTD(SUM(Sales[SalesAmount]), Sales[TransactionDate])
7. IF – Categorize transactions as "High" or "Low" based on sales amount.
Transaction Category = IF(Sales[SalesAmount] > 500, "High", "Low")
8. RELATED – Fetch product names from the Products table into the Sales table.
Product Name = RELATED(Products[ProductName])
5. CALCULATE – Apply filters dynamically (e.g., sales for a specific category).
Total Sales (Category) = CALCULATE(SUM(Sales[SalesAmount]), Products[Category] = "Electronics")
2.AVERAGE – Find the average sales per transaction.
Average Sales = AVERAGE(Sales[SalesAmount])
3.COUNTROWS – Count the number of transactions.
Transaction Count = COUNTROWS(Sales)
4. DISTINCTCOUNT – Count unique customers.
Unique Customers = DISTINCTCOUNT(Sales[CustomerID])
10 Essential DAX Functions Every Power BI Learner Should Know!
If you’re learning Power BI, mastering DAX is a must! Here are 10 powerful DAX functions that will enhance your data analysis skills:
1. SUM – Calculate total sales.
Total Sales = SUM(Sales[SalesAmount])
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