3.1 The Get Data Window
Quick answer: the short, self-contained version of this lesson is the guide Connect Excel and CSV Files to Power BI.
Start with a problem
Ravindra has the practice orders CSV and wants it in Power BI.
Explain simply
Get data lists connectors (Excel, Text/CSV, SQL Server, Web…). Pick one, preview, then Load or Transform data.
Show the data
| Order ID | Order Date | City | Store | Platform | Category | Amount (₹) | Delivery mins | Status |
|---|---|---|---|---|---|---|---|---|
| 301 | 06-Apr-2026 | Pune | Kothrud | Blinkit | Dairy | 400 | 8 | Delivered |
| 302 | 06-Apr-2026 | Pune | Baner | Amazon Now | Snacks | 200 | 12 | Delivered |
| 303 | 07-Apr-2026 | Nashik | Gangapur | Blinkit | Dairy | 300 | 14 | Delivered |
| 304 | 04-May-2026 | Nashik | College Road | Blinkit | Fruits | 150 | 9 | Delivered |
| 305 | 04-May-2026 | Kolhapur | Rajarampuri | Amazon Now | Snacks | 450 | 7 | Delivered |
| 306 | 05-May-2026 | Pune | Kothrud | Blinkit | Fruits | 250 | 16 | Delivered |
| 307 | 05-May-2026 | Nashik | College Road | Amazon Now | Dairy | 350 | 11 | Delivered |
| 308 | 05-May-2026 | Kolhapur | Rajarampuri | Blinkit | Dairy | 0 | Cancelled |
About this data: This table uses columns: Order ID, Order Date, City, Store, Platform, Category, Amount (₹), Delivery mins, Status. This table uses columns: Check, Value. This table uses columns: Wrong result, Reason, Correction. Values shown are the lesson examples already on this page (not a new dataset).
Fictional sample data. Practice file: visuals_orders_apr_may_2026.csv (source: src/practice/).
Demonstrate
- Home › Get data › Text/CSV.
- Choose
visuals_orders_apr_may_2026.csv› Open. - Check the preview: 9 columns, 8 rows.
- Click Transform data to check types first.
- Close & Apply; check Data view row count.
Show the result
Your result should look like this (fictional sample):
| Check | Value |
|---|---|
| Rows | 8 |
| Columns | 9 |
| Sum of Amount (card) | ₹2,100 |
Explain what happened
The connector read the file, Power Query detected types, and Close & Apply loaded it into the model.
Explore further
- Use Transform data when you are not sure the types are right.
Detailed reference for this lesson:
Click Home › Get data. The small drop-down shows common sources; click More… to open the full Get Data window, where connectors are grouped into categories: File, Database, Microsoft Fabric, Power Platform, Azure, Online Services and Other. You can also use the search box.
After you choose a source and select tables/sheets, the Navigator window shows a preview. At the bottom you get two buttons:
- Load – loads the data straight into the model as it is.
- Transform Data – opens the Power Query Editor so that you can clean it first. This is almost always the better choice.
Ravindra Bagale's Tip
Friends, pay attention: a frequent mistake is clicking Load straight from the Navigator. Almost always click Transform Data so you can check types, remove unwanted columns and clean the data before it enters the model. Practise, and it will feel very easy.
Ravindra Bagale's Tip – मराठी
मित्रांनो, लक्ष द्या: Navigator मधून थेट Load वर click करणं ही नेहमीची चूक आहे. जवळजवळ नेहमी Transform Data वर click करा, म्हणजे data model मध्ये जाण्याआधी types चेक करता येतात, नको असलेले columns काढता येतात आणि data clean करता येतो. Practice करा, मग एकदम सोपं वाटेल.
Ravindra Bagale's Tip – हिंदी
दोस्तों, ध्यान दो: Navigator से सीधे Load पर click करना एक आम गलती है. लगभग हमेशा Transform Data पर click करो, ताकि data model में जाने से पहले types check कर सको, बेकार columns हटा सको और data clean कर सको. Practice करो, फिर बहुत आसान लगेगा.
Fix common mistakes
| Wrong result | Reason | Correction |
|---|---|---|
| Amount sums as text error | Amount detected as text | Change type to Whole Number |
| Header row in data | Promote headers missing | Use first row as headers |
| Delivery Mins blank for 308 counted as 0 | Expected blank (cancelled) | Keep blank; handle in measures |
Practise independently
Practice task
How many columns does the file have?
Hints
- Count headers.
Solution
9.
Think like a professional
Check row counts after every load – it is the simplest data-quality test.
Revision card