Lab - Load data in Power BI Desktop

Overview

The estimated time to complete the lab is 45 minutes.

In this lab, you'll begin to apply transformations to queries. You'll then apply the queries to load each as a table to the data model.

In this lab, you learn how to:

• Apply various transformations

• Apply queries to load them to the data model

Before you start this lab, you will need to open the lab environment link above, and log in to the lab environment. There is no need to provide your own environment, as an environment has been prepared for this lab.

In this exercise, you'll apply transformations to each of the queries.

Open the solution file

1. Double-click the Power BI Desktop icon. (This may take a minute or two to open.)

2. Dismiss the splash screen by selecting X to close.

3. From the File tab, select Open report, and then Browse reports.

4. You will open Sales Analysis.pbix file, which is found in the D:\DA100\Lab03A\Starter folder.

Configure the Salesperson query

In this task, you'll configure the Salesperson query.

1. To open the Power Query Editor window, in Power BI Desktop, on the Home ribbon tab, click Transform Data.

2. In the Power Query Editor window, in the Queries pane, select the DimEmployee query.

3. To rename the query, in the Query Settings pane (located at the right), in the Name box, replace the text with Salesperson, and then press Enter.

The query name will determine the model table name. It's recommended to define concise, yet friendly, names.

4. In the Queries pane, verify that the query name has updated.

You'll now filter the query rows to retrieve only employees who are salespeople.

5. To locate a specific column, on the Home ribbon tab, from inside the Manage Columns group, click the Choose Columns down-arrow, and then select Go to Column.

Tip

This technique is useful when a query contains many columns. Usually, you can simply horizontally scroll to locate the column.

6. In the Go to Column window, to order the list by column name, click the AZ sort button, and then select Name.

7. Select the SalesPersonFlag column, and then click OK.

8. To filter the query, in the SalesPersonFlag column header, click the down-arrow, and then uncheck FALSE.

9. Click OK.

10. In the Query Settings pane, in the Applied Steps list, notice the addition of the Filtered Rows step.

Each transformation you create results in additional step logic. It's possible to edit or delete steps. It's also possible to select a step to preview the query results at that stage of transformation.

11. To remove columns, on the Home ribbon tab, from inside the Manage Columns group, click the Choose Columns icon.

12. In the Choose Columns window, to uncheck all columns, uncheck the (Select All Columns) item.

13. To include columns, check the following six columns:

• EmployeeKey

• EmployeeNationalIDAlternateKey

• FirstName

• LastName

• Title

14. Click OK.

15. In the Applied Steps list, notice the addition of another query step.

16. To create a single name column, first select the FirstName column header.

17. While pressing the Ctrl key, select the LastName column.

18. Right-click either of the select column headers, and then in the context menu, select Merge Columns.

Many common transformations can be applied by right-clicking the column header, and then choosing them from the context menu. However, that all transformations and more are available in the ribbon.

19. In the Merge Columns window, in the Separator dropdown list, select Space.

20. In the New Column Name box, replace the text with Salesperson.

21. Click OK.

22. To rename the EmployeeNationalIDAlternateKey column, double-click the EmployeeNationalIDAlternateKey column header.

23. Replace the text with EmployeeID, and then press Enter.

When instructed to rename columns, it's important that you rename them exactly as described.

24. Use the previous steps to rename the EmailAddress column to UPN.

UPN is an acronym for User Principal Name. The values in this column will be used when you configure row-level security in Lab 05A.

25. At the bottom-left, in the status bar, verify that the query has 5 columns and 18 rows.

It's important that you do not proceed if your query does not produce the correct result, it won't be possible to complete later labs. If it doesn't, refer back to the steps in this task to fix any problems.

Configure the SalespersonRegion query

In this task, you'll configure the SalespersonRegion query.

1. In the Queries pane, select the DimEmployeeSalesTerritory query.

2. In the Query Settings pane, rename the query to SalespersonRegion.

3. To remove the last two columns, first select the DimEmployee column header.

4. While pressing the Ctrl key, select the DimSalesTerritory column header.

5. Right-click either of the select column headers, and then in the context menu, select Remove Columns.

6. In the status bar, verify that the query has 2 columns and 39 rows.

Configure the Product query

In this task, you'll configure the Product query.

When detailed instructions have already been provided in the labs, the lab steps will now provide more concise instructions. If you need the detailed instructions, you can refer back to other tasks.

1. Select the DimProduct query.

2. Rename the query to Product.

3. Locate the FinishedGoodsFlag column, and then filter the column to retrieve products that are finished goods (that is, TRUE).

4. Remove all columns, except the following:

• ProductKey

• EnglishProductName

• StandardCost

• Color

• DimProductSubcategory

5. Notice that the DimProductSubcategory column represents a related table (it contains Value links).

6. In the DimProductSubcategory column header, at the right of the column name, click the expand button.

7. To uncheck all columns, uncheck the (Select All Columns) item.

8. Check the EnglishProductSubcategoryName and DimProductCategory columns.

By selecting these two columns, a transformation will be applied to join to the DimProductSubcategory table, and then include these columns. The DimProductCategory column is, in fact, another related table.

9. Uncheck the Use Original Column Name as Prefix checkbox.

Query column names must always be unique. When checked, this checkbox would prefix each column with the expanded column name (in this case DimProductSubcategory). Because it's known that the selected columns don't collide with columns in the Product query, the option is deselected.

10. Click OK.

11. Expand the DimProductCategory, and then introduce only the EnglishProductCategoryName column.

12. Rename the following four columns:

• EnglishProductName to Product

• StandardCost to Standard Cost (include a space)

• EnglishProductSubcategoryName to Subcategory

• EnglishProductCategoryName to Category

13. In the status bar, verify that the query has six columns and 397 rows.

Configure the Reseller query

In this task, you will configure the Reseller query.

1. Select the DimReseller query.

2. Rename the query to Reseller.

3. Remove all columns, except the following:

• ResellerKey

• ResellerName

• DimGeography

4. Expand the DimGeography column, to include only the following three columns:

• City

• StateProvinceName

• EnglishCountryRegionName

5. In the Business Type column header, click the down-arrow, and then review the items, and the incorrect spelling of warehouse.

6. Right-click the Business Type column header, and then select Replace Values.

7. In the Replace Values window, configure the following values:

• In the Value to Find box, enter Ware House

• In the Replace With box, enter Warehouse

8. Click OK.

9. Rename the following four columns:

• ResellerName to Reseller

• StateProvinceName to State-Province

• EnglishCountryRegionName to Country-Region

10. In the status bar, verify that the query has 6 columns and 701 rows.

Configure the Region query

In this task, you will configure the Region query.

1. Select the DimSalesTerritory query.

2. Rename the query to Region.

3. Apply a filter to the SalesTerritoryAlternateKey column to remove the value 0 (zero).

4. Remove all columns, except the following:

• SalesTerritoryKey

• SalesTerritoryRegion

• SalesTerritoryCountry

• SalesTerritoryGroup

5. Rename the following three columns:

• SalesTerritoryRegion to Region

• SalesTerritoryCountry to Country

• SalesTerritoryGroup to Group

6. In the status bar, verify that the query has 4 columns and 10 rows.

Configure the Sales query

In this task, you will configure the Sales query.

1. Select the FactResellerSales query.

2. Rename the query to Sales.

3. Remove all columns, except the following:

• SalesOrderNumber

• OrderDate

• ProductKey

• ResellerKey

• EmployeeKey

• SalesTerritoryKey

• OrderQuantity

• UnitPrice

• TotalProductCost

• SalesAmount

• DimProduct

Recall in Lab 02A that a small percentage of FactResellerSales rows had missing TotalProductCost values. The DimProduct column has been included to retrieve the product standard cost, to fix the missing values.

4. Expand the DimProduct column, and then include the StandardCost column.

5. To create a custom column, on the Add Column ribbon tab, from inside the General group, click Custom Column.

6. In the Custom Column window, in the New Column Name box, replace the text with Cost.

7. In the Custom Column Formula box, enter the following expression (after the equals symbol):

8. For your convenience, you can copy the expression from the D:\DA100\Lab03A\Assets\Snippets.txt file.

Power Query

if [TotalProductCost] = null then [OrderQuantity] * [StandardCost] else [TotalProductCost]

This expression tests if the TotalProductCost value is missing. If it is, produce a value by multiplying the OrderQuantity value by the StandardCost value; otherwise, it uses the existing TotalProductCost value.

9. Click OK.

10. Remove the following two columns:

• TotalProductCost

• StandardCost

11. Rename the following three columns:

• OrderQuantity to Quantity

• UnitPrice to Unit Price (include a space)

• SalesAmount to Sales

12. To modify the column data type, in the Quantity column header, at the left of the column name, click the 1.2 icon, and then select Whole Number.

Configuring the correct data type is important. When the column contains numeric value, it's also important to choose the correct type if you expect to perform mathematic calculations.

13. Modify the following three-column data types to Fixed Decimal Number.

• Unit Price

• Sales

• Cost

The fixed decimal number data type stores values with full precision, and so requires more storage space that decimal number. It's important to use the fixed decimal number type for financial values, or rates (like exchange rates).

14. In the status bar, verify that the query has 10 columns and 999+ rows.

A maximum of 1000 rows will be loaded as preview data for each query.

Configure the Targets query

In this task, you'll configure the Targets query.

1. Select the ResellerSalesTargets query.

2. Rename the query to Targets.

3. To unpivot the 12-month columns (M01-M12), first multi-select the Year and EmployeeID column headers.

4. Right-click either of the select column headers, and then in the context menu, select Unpivot Other Columns.

5. Notice that the column names now appear in the Attribute column, and the values appear in the Value column.

6. Apply a filter to the Value column to remove hyphen (-) values.

7. Rename the following two columns:

• Attribute to MonthNumber (no space between the two words it will be removed later)

• Value to Target

You'll now apply transformations to produce a date column. The date will be derived from the Year and MonthNumber columns. You'll create the column by using the Columns From Examples feature.

8. To prepare the MonthNumber column values, right-click the MonthNumber column header, and then select Replace Values.

9. In the Replace Values window, in the Value To Find box, enter M.

10. Click OK.

11. Modify the MonthNumber column data type to Whole Number.

12. On the Add Column ribbon tab, from inside the General group, click The Column From Examples icon.

13. Notice that the first row is for year 2017 and month number 7.

14. In the Column1 column, in the first grid cell, enter 7/1/2017, and then press Enter.

The virtual machine uses US regional settings, so this date is in fact July 1, 2017.

15. Notice that the grid cells update with predicted values.

The feature has accurately predicted that you're combining values from two columns.

16. Notice also the formula presented above the query grid.

17. To rename the new column, double-click the Merged column header.

18. Rename the column as TargetMonth.

19. Click OK.

20. Remove the following columns:

• Year

• MonthNumber

21. Modify the following column data types:

• Target as fixed decimal number

• TargetMonth as date

22. To multiply the Target values by 1000, select the Target column header, and then on the Transform ribbon tab, from inside the Number Column group, click Standard, and then select Multiply.

23. In the Multiply window, in the Value box, enter 1000.

24. Click OK.

25. In the status bar, verify that the query has 3 columns and 809 rows.

Configure the ColorFormats query

In this task, you'll configure the ColorFormats query.

1. Select the ColorFormats query.

2. Notice that the first row contains the column names.

3. On the Home ribbon tab, from inside the Transform group, click Use First Row as Headers.

4. In the status bar, verify that the query has 3 columns and 10 rows.

Update the Product query

In this task, you'll update the Product query by merging the ColorFormats query.

1. Select the Product query.

2. To merge the ColorFormats query, on the Home ribbon tab, from inside the Combine group, click Merge Queries.

Merging queries allows integrating data, in this case from different data sources (SQL Server and a CSV file).

3. In the Merge window, in the Product query grid, select the Color column header.

4. Beneath the Product query grid, in the dropdown list, select the ColorFormats query.

5. In the ColorFormats query grid, select the Color column header.

6. When the Privacy Levels window opens, for each of the two data sources, in the corresponding dropdown list, select Organizational.

Privacy levels can be configured for data source to determine whether data can be shared between sources. Setting each data source as Organizational allows them to share data, if necessary. Private data sources can never be shared with other data sources. It doesn't mean that Private data cannot be shared; it means that the Power Query engine cannot share data between the sources.

7. Click Save.

8. In the Merge window, click OK.

9. Expand the ColorFormats column to include the following two columns:

• Background Color Format

• Font Color Format

10. In the status bar, verify that the query now has 8 columns and 397 rows.

Update the ColorFormats query

1. Select the ColorFormats query.

2. In the Query Settings pane, click the All Properties link.

3. In the Query Properties window, uncheck the Enable Load To Report checkbox.

Disabling the load means it won't load as a table to the data model. This is done because the query was merged with the Product query, which is enabled to lad to the data model.

4. Click OK.

Finish up

In this task, you'll complete the lab.

1. Verify that you have eight queries, correctly named as follows:

• Salesperson

• SalespersonRegion

• Product

• Reseller

• Region

• Sales

• Targets

• ColorFormats (which won't load to the data model)

2. To load the data model, on the File backstage view, select Close & Apply.