Power BI vs Tableau vs Excel comparison - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a simple measure that sums sales in Power BI.

Power BI

Total Sales = SUM([1])

Drag options to blanks, or click blank then click option'

ASales[Amount]

BProducts[Category]

CCustomers[Name]

DSales[Date]

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a non-numeric column like Date or Name.

The SUM function adds all values in the Sales Amount column.

2fill in blank

medium

Complete the code to filter data for the year 2023 in Power BI using DAX.

Power BI

Filtered Sales = CALCULATE(SUM(Sales[Amount]), Sales[Year] [1] 2023)

Drag options to blanks, or click blank then click option'

A=

B>

C<

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using > or < which would filter other years.

The = operator filters rows where the year is exactly 2023.

3fill in blank

hard

Fix the error in this DAX measure to calculate average sales per customer.

Power BI

Avg Sales per Customer = DIVIDE(SUM(Sales[Amount]), [1](Customers[CustomerID]))

Drag options to blanks, or click blank then click option'

ASUM

BAVERAGE

CCOUNT

DCOUNTROWS

Attempts:

3 left

💡 Hint

Common Mistakes

Using COUNTROWS which counts table rows, not column values.

COUNT counts the number of customer IDs to divide total sales correctly.

4fill in blank

hard

Fill both blanks to create a calculated column that flags high sales over 1000.

Power BI

High Sales Flag = IF(Sales[Amount] [1] 1000, [2], "No")

Drag options to blanks, or click blank then click option'

A>

B"Yes"

C<

D"High"

Attempts:

3 left

💡 Hint

Common Mistakes

Using < instead of >, or returning incorrect text values.

The IF function checks if sales are greater than 1000 and returns "Yes" if true.

5fill in blank

hard

Fill the blank to create a measure that calculates sales growth percentage.

Power BI

Sales Growth % = DIVIDE(SUM(Sales[Amount]) - CALCULATE(SUM(Sales[Amount]), Sales[Year] = [1](Sales[Year]) - 1), CALCULATE(SUM(Sales[Amount]), Sales[Year] = [1](Sales[Year]) - 1))

Drag options to blanks, or click blank then click option'

AFILTER

BMIN

CCALCULATE

DMAX

Attempts:

3 left

💡 Hint

Common Mistakes

Using FILTER incorrectly or MIN instead of MAX for current year.

This formula calculates the difference between current year sales and previous year sales, then divides by previous year sales to get growth percentage. CALCULATE changes context, and MAX gets the current year.

Practice

1. Which tool is best known for its strong integration with Microsoft products like Azure and Office 365?

easy

A. Google Data Studio

B. Tableau

C. Excel

D. Power BI

Solution

1. Step 1: Identify Microsoft product integration

   Power BI is developed by Microsoft and integrates well with Azure and Office 365.

2. Step 2: Compare with other tools

   Tableau and Excel do not have the same level of native Microsoft cloud integration.

3. Final Answer:

   Power BI -> Option D

4. Quick Check:

   Microsoft integration = Power BI [OK]

Hint: Microsoft integration points to Power BI [OK]

Common Mistakes:

• Confusing Excel as a BI tool for dashboards
• Thinking Tableau is Microsoft-based
• Selecting Google Data Studio which is unrelated

2. Which of the following is the correct statement about Excel's primary use compared to Power BI and Tableau?

easy

A. Excel is primarily used for quick data analysis and calculations

B. Excel is mainly for advanced data visualization and dashboards

C. Excel is designed for real-time data streaming and cloud analytics

D. Excel is best for large-scale data exploration and blending

Solution

1. Step 1: Understand Excel's core strength

   Excel is widely used for quick data analysis, calculations, and simple charts.

2. Step 2: Contrast with Power BI and Tableau

   Power BI and Tableau focus more on dashboards and advanced visualizations, not quick calculations.

3. Final Answer:

   Excel is primarily used for quick data analysis and calculations -> Option A

4. Quick Check:

   Excel use = quick analysis [OK]

Hint: Excel = quick calculations, not advanced dashboards [OK]

Common Mistakes:

• Assuming Excel is mainly for dashboards
• Confusing Excel with Tableau's visualization focus
• Thinking Excel handles real-time streaming natively

3. Given a scenario where a user needs to create highly interactive and advanced visualizations for data exploration, which tool is most suitable?

medium

A. Excel

B. Tableau

C. Notepad

D. Power BI

Solution

1. Step 1: Identify tool for advanced interactive visuals

   Tableau is known for its powerful and flexible data visualization and exploration capabilities.

2. Step 2: Compare with Excel and Power BI

   Excel is limited in interactivity; Power BI is strong but Tableau leads in advanced visuals.

3. Final Answer:

   Tableau -> Option B

4. Quick Check:

   Advanced visuals = Tableau [OK]

Hint: Advanced visuals and exploration = Tableau [OK]

Common Mistakes:

• Choosing Excel for advanced visuals
• Confusing Power BI as more advanced than Tableau
• Selecting unrelated tools like Notepad

4. A user tries to create a dashboard in Excel but finds it difficult to handle large datasets and real-time updates. What is the most likely reason?

medium

A. Excel dashboards automatically update with real-time data

B. Excel does not support any form of data visualization

C. Excel lacks native support for large datasets and real-time data streaming

D. Excel is designed only for text editing

Solution

1. Step 1: Understand Excel's limitations

   Excel can handle moderate data but struggles with very large datasets and lacks built-in real-time streaming.

2. Step 2: Analyze dashboard capabilities

   Excel supports charts but is not optimized for dynamic dashboards with real-time updates.

3. Final Answer:

   Excel lacks native support for large datasets and real-time data streaming -> Option C

4. Quick Check:

   Excel limits = no large data + no real-time [OK]

Hint: Excel not built for large, real-time dashboards [OK]

Common Mistakes:

• Thinking Excel has real-time dashboard updates
• Believing Excel cannot create any visuals
• Confusing Excel with text editors

5. A company wants to build a business dashboard that integrates with their Microsoft Azure data warehouse, supports scheduled data refreshes, and allows users to create reports with minimal coding. Which tool should they choose and why?

hard

A. Power BI, because it integrates well with Azure, supports scheduled refresh, and is user-friendly

B. Excel, because it supports scheduled data refreshes and dashboards

C. Tableau, because it has the best Microsoft Azure integration

D. Google Sheets, because it is cloud-based and supports dashboards

Solution

1. Step 1: Identify integration with Microsoft Azure

   Power BI is designed to integrate seamlessly with Azure data warehouses.

2. Step 2: Check for scheduled refresh and ease of use

   Power BI supports scheduled data refreshes and allows report creation with minimal coding.

3. Step 3: Compare other options

   Tableau has Azure support but less native integration; Excel lacks easy scheduled refresh; Google Sheets is unrelated.

4. Final Answer:

   Power BI, because it integrates well with Azure, supports scheduled refresh, and is user-friendly -> Option A

5. Quick Check:

   Azure + scheduled refresh + ease = Power BI [OK]

Hint: Azure + scheduled refresh + easy reports = Power BI [OK]

Common Mistakes:

• Choosing Tableau for best Azure integration
• Assuming Excel supports easy scheduled refresh
• Selecting unrelated tools like Google Sheets