Sheets with Google Data Studio (Looker) in Google Sheets - Real Business Scenario

Scenario Mode

👤 Your Role: You are a sales analyst at a retail company.

📋 Request: Your manager wants a monthly sales performance report that shows total sales by product category and region. The report should be easy to update and visualize using Google Data Studio.

📊 Data: You have a Google Sheet with sales data including Date, Region, Product Category, Units Sold, and Sales Amount.

🎯 Deliverable: Create a clean summary table in Google Sheets that aggregates total sales by month, product category, and region. Then connect this sheet to Google Data Studio to build a dashboard showing sales trends.

Sample Data

Date	Region	Product Category	Units Sold	Sales Amount
2024-01-05	North	Electronics	10	2500
2024-01-15	South	Furniture	5	1500
2024-02-10	East	Electronics	8	2000
2024-02-20	West	Clothing	15	1200
2024-03-05	North	Furniture	7	2100
2024-03-15	South	Clothing	20	1600
2024-04-01	East	Electronics	12	3000
2024-04-10	West	Furniture	6	1800
2024-05-05	North	Clothing	18	1440
2024-05-15	South	Electronics	9	2250

1

Step 1: Add a new column 'Month' to extract the month and year from the Date column.

=TEXT(A2,"yyyy-MM")

Expected Result

For 2024-01-05, Month shows 2024-01

2

Step 2: Create a summary table with columns: Month, Region, Product Category, Total Sales.

Use a pivot table: Rows = Month, Region, Product Category; Values = SUM of Sales Amount

Expected Result

Pivot table shows total sales grouped by month, region, and product category.

3

Step 3: Filter the pivot table to show only months from January to May 2024.

Apply filter on Month field to include 2024-01 to 2024-05

Expected Result

Pivot table displays sales data only for months Jan to May 2024.

4

Step 4: Name the sheet 'Sales Summary' and ensure it is clean and easy to read.

Format headers bold, adjust column widths, freeze header row

Expected Result

Sheet 'Sales Summary' is ready for connection to Google Data Studio.

5

Step 5: In Google Data Studio, connect to the Google Sheet 'Sales Summary' as a data source.

Use 'Add Data' > Google Sheets > Select 'Sales Summary' sheet

Expected Result

Data source connected and fields available for report building.

6

Step 6: Create a time series chart in Data Studio showing Total Sales over months.

Dimension = Month, Metric = SUM of Total Sales

Expected Result

Chart displays sales trend from January to May 2024.

7

Step 7: Add a filter control in Data Studio to select Region and Product Category.

Add filter controls for Region and Product Category fields

Expected Result

User can filter the sales trend chart by region and product category.

Final Result

Monthly Sales Summary Report

Month    | Region | Product Category | Total Sales
--------------------------------------------------
2024-01  | North  | Electronics      | 2500
2024-01  | South  | Furniture        | 1500
2024-02  | East   | Electronics      | 2000
2024-02  | West   | Clothing         | 1200
2024-03  | North  | Furniture        | 2100
2024-03  | South  | Clothing         | 1600
2024-04  | East   | Electronics      | 3000
2024-04  | West   | Furniture        | 1800
2024-05  | North  | Clothing         | 1440
2024-05  | South  | Electronics      | 2250

[Google Data Studio Dashboard]
- Time series chart: Total Sales by Month
- Filter controls: Region, Product Category

✓Electronics consistently generate high sales across regions.

✓North region leads in Electronics sales in early months.

✓Furniture sales are strong in South and West regions.

✓Clothing sales peak in March and May.

Bonus Challenge

Add a calculated field in Google Sheets to compute average sales per unit for each row, then update the summary table to include average sales per unit by month, region, and product category.

Show Hint

Create a new column with formula =E2/D2 (Sales Amount divided by Units Sold), then use this field in your pivot table with AVERAGE aggregation.

Practice

1. What is the main benefit of connecting Google Sheets to Google Data Studio (Looker)?

easy

A. Sheets data is copied manually into Data Studio reports

B. You can edit sheet data directly inside Data Studio

C. Data Studio replaces the need for Google Sheets

D. Reports update automatically when sheet data changes

Solution

1. Step 1: Understand the connection feature

   Google Sheets connected to Data Studio allows live data linking.

2. Step 2: Identify the benefit of live connection

   When sheet data changes, reports update automatically without manual refresh.

3. Final Answer:

   Reports update automatically when sheet data changes -> Option D

4. Quick Check:

   Live data connection = automatic updates [OK]

Hint: Remember: Data Studio shows live data from Sheets [OK]

Common Mistakes:

• Thinking you edit Sheets inside Data Studio
• Believing data is copied manually
• Assuming Data Studio replaces Sheets

2. Which step is required to connect a Google Sheet as a data source in Google Data Studio?

easy

A. Select 'Add Data' and choose Google Sheets from the connector list

B. Export the sheet as CSV and upload it to Data Studio

C. Copy and paste sheet data into Data Studio report

D. Use the IMPORTDATA formula inside Data Studio

Solution

1. Step 1: Identify how to add data in Data Studio

   Data Studio uses connectors; Google Sheets is one of them.

2. Step 2: Select the correct method to connect Sheets

   You must choose 'Add Data' then select Google Sheets connector to link your sheet.

3. Final Answer:

   Select 'Add Data' and choose Google Sheets from the connector list -> Option A

4. Quick Check:

   Adding data = use connectors [OK]

Hint: Use 'Add Data' button to connect Sheets [OK]

Common Mistakes:

• Trying to upload CSV instead of connecting live
• Copy-pasting data manually
• Using spreadsheet formulas inside Data Studio

3. Given a Google Sheet with sales data updated daily, what happens in Data Studio reports connected to this sheet?

medium

A. Reports require manual refresh to show new data

B. Reports show only data from the first time connection was made

C. Reports show the latest sales data automatically after sheet updates

D. Reports cannot display data from Google Sheets

Solution

1. Step 1: Understand live data connection behavior

   Data Studio links live to Sheets, so data changes reflect in reports.

2. Step 2: Identify update mechanism

   Reports update automatically when the sheet data changes without manual refresh.

3. Final Answer:

   Reports show the latest sales data automatically after sheet updates -> Option C

4. Quick Check:

   Live link = automatic report updates [OK]

Hint: Connected reports auto-update with sheet changes [OK]

Common Mistakes:

• Thinking reports freeze at first data load
• Believing manual refresh is needed
• Assuming Data Studio can't use Sheets data

4. You connected a Google Sheet to Data Studio but the report shows old data. What is the likely cause?

medium

A. The sheet was not shared with the Data Studio account

B. Data Studio does not support Google Sheets as data source

C. You must export the sheet as Excel first

D. The sheet contains formulas which Data Studio cannot read

Solution

1. Step 1: Check sharing permissions

   Data Studio needs permission to access the sheet data.

2. Step 2: Identify permission issue effect

   If the sheet is not shared properly, Data Studio cannot fetch updated data, showing old info.

3. Final Answer:

   The sheet was not shared with the Data Studio account -> Option A

4. Quick Check:

   Sharing permissions = data access [OK]

Hint: Always share sheets with Data Studio account [OK]

Common Mistakes:

• Assuming Data Studio can't use Sheets
• Thinking export is needed
• Believing formulas block data access

5. You want to create a monthly sales report in Data Studio using Google Sheets data. The sheet has daily sales entries. How can you show monthly totals in Data Studio?

hard

A. Manually sum monthly sales in the sheet and import that summary

B. Use Data Studio's date grouping feature to aggregate daily data by month

C. Create a new sheet with monthly totals and connect it separately

D. Use the QUERY formula inside Data Studio to group by month

Solution

1. Step 1: Understand Data Studio aggregation features

   Data Studio can group and summarize data by date fields automatically.

2. Step 2: Apply date grouping to monthly totals

   Use the date dimension in Data Studio and set grouping to month to get monthly sums.

3. Step 3: Compare other options

   Manual sums or separate sheets are extra work; QUERY formula is not used inside Data Studio.

4. Final Answer:

   Use Data Studio's date grouping feature to aggregate daily data by month -> Option B

5. Quick Check:

   Date grouping = monthly totals [OK]

Hint: Group dates by month in Data Studio for totals [OK]

Common Mistakes:

• Trying to use QUERY inside Data Studio
• Manually summing data in Sheets unnecessarily
• Creating extra sheets instead of using grouping