Statistical summary card in Tableau - Dashboard Guide

Dashboard Mode - Statistical summary card

Business Question

How can we quickly understand the sales performance and variability for our products in the first quarter?

Sample Data

Product	Sales
Alpha	120
Beta	150
Gamma	100
Delta	130
Epsilon	110

Dashboard Components

• Total Sales Card: Shows total sales across all products.
  Formula: SUM([Sales])
  Result: 610
• Average Sales Card: Shows average sales per product.
  Formula: AVG([Sales])
  Result: 122
• Minimum Sales Card: Shows the lowest sales value.
  Formula: MIN([Sales])
  Result: 100
• Maximum Sales Card: Shows the highest sales value.
  Formula: MAX([Sales])
  Result: 150
• Standard Deviation Card: Shows how much sales vary.
  Formula: STDEV([Sales])
  Result: Approximately 19.24
• Sales Bar Chart: Visualizes sales by product.
  X-axis: Product
  Y-axis: Sales
• Sales Data Table: Lists products and their sales values.

Dashboard Layout

+--------------------------------------------------+
| Total Sales | Average Sales | Min Sales | Max Sales |
|    (610)    |     (122)     |   (100)   |   (150)   |
+--------------------------------------------------+
| Standard Deviation (19.24)                        |
+--------------------------------------------------+
| Sales Bar Chart                                  |
|  (Products on X-axis, Sales on Y-axis)          |
+--------------------------------------------------+
| Sales Data Table                                 |
|  (Product and Sales columns)                     |
+--------------------------------------------------+
    

Interactivity

A filter for Product allows selecting one or more products.

When a product filter is applied:

• All summary cards (Total, Average, Min, Max, Std Dev) update to reflect only selected products.
• The Sales Bar Chart updates to show bars only for selected products.
• The Sales Data Table shows only the filtered products.

Self Check

If you add a filter to select only products with sales greater than 120, which components update?

• All summary cards update to show totals, averages, min, max, and standard deviation for filtered products.
• The Sales Bar Chart updates to show only bars for products with sales > 120.
• The Sales Data Table shows only those filtered products.

Key Result

A dashboard showing total, average, min, max, and standard deviation sales with a bar chart and data table for product sales.

Practice

1.

What is the main purpose of a statistical summary card in Tableau dashboards?

easy

A. To design interactive maps

B. To display detailed raw data tables

C. To create complex data models

D. To show key numbers clearly and simply

Solution

1. Step 1: Understand the role of summary cards

   Summary cards highlight important numbers like totals or averages for quick insight.

2. Step 2: Compare options with this purpose

   Only To show key numbers clearly and simply matches the purpose of showing key numbers simply and clearly.

3. Final Answer:

   To show key numbers clearly and simply -> Option D

4. Quick Check:

   Summary card = clear key numbers [OK]

Hint: Summary cards highlight main numbers quickly [OK]

Common Mistakes:

• Confusing summary cards with detailed tables
• Thinking summary cards create data models
• Assuming summary cards are for maps

2.

Which of the following is the correct way to create a SUM aggregation for a measure named Sales in Tableau?

easy

A. SUM([Sales])

B. SUM(Sales)

C. SUM{Sales}

D. SUM: Sales

Solution

1. Step 1: Recall Tableau aggregation syntax

   Tableau uses square brackets for field names inside aggregation functions.

2. Step 2: Check each option

   Only SUM([Sales]) uses correct syntax with brackets and parentheses.

3. Final Answer:

   SUM([Sales]) -> Option A

4. Quick Check:

   SUM with brackets = SUM([Sales]) [OK]

Hint: Use square brackets for fields inside functions [OK]

Common Mistakes:

• Omitting square brackets around field names
• Using curly braces instead of parentheses
• Using colon instead of parentheses

3.

Given a dataset with Sales values: 100, 200, 300, what will the AVG([Sales]) aggregation show on a summary card?

medium

A. 600

B. 200

C. 300

D. 100

Solution

1. Step 1: Calculate the average of Sales values

   Sum is 100 + 200 + 300 = 600; count is 3.

2. Step 2: Compute average

   Average = 600 / 3 = 200.

3. Final Answer:

   200 -> Option B

4. Quick Check:

   AVG = sum/count = 200 [OK]

Hint: Average = total sum divided by count [OK]

Common Mistakes:

• Choosing sum instead of average
• Picking a single value instead of average
• Confusing average with maximum

4.

Which of the following formulas will cause an error when used in a Tableau summary card?

IF SUM([Sales]) > 100 THEN 'High' ELSE 'Low' END

medium

A. IF SUM([Sales]) > 100 THEN 'High' ELSE 'Low' END

B. >edoc/edoc<

C. IF SUM([Sales]) > 100 THEN 'High' ELSE 'Low'

D. code>IF SUM([Sales]) > 100 THEN 'High' ELSE 'Low' END

Solution

1. Step 1: Understand Tableau IF statement syntax

   Tableau IF statements must end with END keyword.

2. Step 2: Check each option for missing END

   IF SUM([Sales]) > 100 THEN 'High' ELSE 'Low' is missing END, causing syntax error.

3. Final Answer:

   IF SUM([Sales]) > 100 THEN 'High' ELSE 'Low' -> Option C

4. Quick Check:

   Missing END causes error [OK]

Hint: Always end IF statements with END in Tableau [OK]

Common Mistakes:

• Forgetting END keyword in IF statements
• Using wrong comparison operators
• Misplacing THEN or ELSE keywords

5.

You want to create a summary card showing the COUNT of unique customers who made purchases over $500. Which Tableau calculation should you use?

hard

A. COUNTD(IF [Sales] > 500 THEN [Customer ID] END)

B. COUNT(IF [Sales] > 500 THEN [Customer ID] END)

C. SUM(IF [Sales] > 500 THEN 1 ELSE 0 END)

D. AVG(IF [Sales] > 500 THEN [Customer ID] END)

Solution

1. Step 1: Identify requirement for unique count of customers

   Use COUNTD to count distinct customer IDs.

2. Step 2: Filter customers with sales over $500

   Use IF to include only customers where [Sales] > 500.

3. Step 3: Combine into calculation

   COUNTD(IF [Sales] > 500 THEN [Customer ID] END) counts unique customers meeting condition.

4. Final Answer:

   COUNTD(IF [Sales] > 500 THEN [Customer ID] END) -> Option A

5. Quick Check:

   Unique count with condition = COUNTD(IF...) [OK]

Hint: Use COUNTD with IF for unique conditional counts [OK]

Common Mistakes:

• Using COUNT instead of COUNTD for unique counts
• Using SUM or AVG instead of count functions
• Not filtering with IF condition properly