Pareto analysis in Tableau - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is Pareto analysis?

Pareto analysis is a technique to find the few important causes that create most of the problems or effects. It is based on the 80/20 rule, meaning 80% of results come from 20% of causes.

beginner

In Tableau, what chart type is commonly used for Pareto analysis?

A Pareto chart, which combines a bar chart showing individual values and a line chart showing the cumulative percentage, is commonly used for Pareto analysis in Tableau.

intermediate

How do you calculate the cumulative percentage for Pareto analysis in Tableau?

You calculate the cumulative sum of the measure sorted descending, then divide by the total sum to get the cumulative percentage. This is often done using table calculations like RUNNING_SUM and WINDOW_SUM.

beginner

Why is sorting important in Pareto analysis?

Sorting the data from largest to smallest helps identify the most significant factors first. This makes the 80/20 rule visible by showing which few items contribute most to the total.

beginner

What does the 80/20 rule mean in Pareto analysis?

It means roughly 80% of effects come from 20% of causes. For example, 80% of sales might come from 20% of customers.

What does a Pareto chart combine in Tableau?

A Bar chart and line chart

B Pie chart and scatter plot

C Histogram and box plot

D Area chart and heat map

A Pareto chart combines a bar chart showing individual values and a line chart showing cumulative percentage.

What is the main purpose of Pareto analysis?

A To calculate averages

B To create pie charts

C To find the few key causes that create most effects

D To sort data alphabetically

Pareto analysis helps identify the few important causes that create most of the effects.

Which Tableau function helps calculate running totals for Pareto analysis?

A RUNNING_SUM

B SUM

C AVG

D COUNT

RUNNING_SUM calculates cumulative totals needed for Pareto analysis.

Why do you sort data descending in Pareto analysis?

A To make data alphabetical

B To show biggest contributors first

C To hide small values

D To create pie charts

Sorting descending shows the biggest contributors first, making the 80/20 rule clear.

The 80/20 rule means:

A 20% of causes come from 80% of effects

B 80% of causes come from 20% of effects

C 20% of effects come from 80% of causes

D 80% of effects come from 20% of causes

The 80/20 rule states that 80% of effects come from 20% of causes.

Explain how to create a Pareto chart in Tableau step-by-step.

Think about sorting, running totals, and combining charts.

Describe the business value of using Pareto analysis.

Why does focusing on the vital few help businesses?

Practice

1. What is the main purpose of Pareto analysis in Tableau?

easy

A. To identify the few key items that cause most of the effect

B. To create detailed pie charts for all categories

C. To calculate averages of all data points

D. To filter out all data except the top item

Solution

1. Step 1: Understand Pareto analysis concept

   Pareto analysis focuses on the vital few items that contribute most to an outcome, often called the 80/20 rule.

2. Step 2: Relate to Tableau usage

   In Tableau, Pareto analysis helps highlight these key items by sorting and showing cumulative impact visually.

3. Final Answer:

   To identify the few key items that cause most of the effect -> Option A

4. Quick Check:

   Pareto analysis = Identify key items [OK]

Hint: Remember 80/20 rule means few items cause most effect [OK]

Common Mistakes:

• Thinking it calculates averages
• Assuming it filters to only one item
• Confusing it with pie chart creation

2. Which Tableau calculation is essential to create a Pareto chart showing cumulative impact?

easy

A. RANK(SUM([Quantity]))

B. SUM([Sales]) / COUNT([Orders])

C. AVG([Profit])

D. RUNNING_SUM(SUM([Sales]))

Solution

1. Step 1: Identify calculation for running total

   RUNNING_SUM(SUM([Sales])) computes a running total across sorted data, key for cumulative impact.

2. Step 2: Compare other options

   Other options calculate averages, ranks, or ratios, not cumulative sums needed for Pareto.

3. Final Answer:

   RUNNING_SUM(SUM([Sales])) -> Option D

4. Quick Check:

   Running total = RUNNING_SUM(SUM([Sales])) [OK]

Hint: Use RUNNING_SUM for running totals in Tableau [OK]

Common Mistakes:

• Using AVG instead of running sum
• Confusing rank with cumulative sum
• Dividing sums incorrectly

3. Given this Tableau calculation for cumulative percentage:
RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales]))
What is the output for the first sorted item with Sales = 100 and total Sales = 500?

medium

A. 100

B. 0.2

C. 1.0

D. 0.5

Solution

1. Step 1: Calculate running sum for first item

   Running sum for first item is SUM([Sales]) = 100.

2. Step 2: Calculate total sum and divide

   Total sum is 500, so cumulative percentage = 100 / 500 = 0.2 (20%).

3. Final Answer:

   0.2 -> Option B

4. Quick Check:

   100/500 = 0.2 [OK]

Hint: Divide running sum by total sum for cumulative percent [OK]

Common Mistakes:

• Using total sum as numerator
• Confusing running sum with total sum
• Not converting to percentage

4. You created a Pareto chart but the cumulative percentage line is not showing correctly. Which fix is most likely needed?

medium

A. Remove sorting on the dimension and use default order

B. Replace RUNNING_SUM with SUM([Sales]) only

C. Change calculation to use RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales])) and set table calculation to compute along sorted dimension

D. Use AVG([Sales]) instead of SUM([Sales]) in calculation

Solution

1. Step 1: Identify correct cumulative percentage formula

   RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales])) is the correct formula for cumulative percent.

2. Step 2: Ensure table calculation computes along sorted dimension

   Sorting is essential so running sum accumulates in correct order; setting compute using sorted dimension fixes line.

3. Final Answer:

   Change calculation to use RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales])) and set table calculation to compute along sorted dimension -> Option C

4. Quick Check:

   Correct formula + sorting = proper Pareto line [OK]

Hint: Always set table calc direction along sorted dimension [OK]

Common Mistakes:

• Using SUM instead of RUNNING_SUM
• Ignoring sorting order
• Using average instead of sum

5. You want to create a Pareto chart in Tableau showing top products contributing to 80% of sales. Which steps should you follow?

hard

A. Sort products by sales descending, calculate running sum of sales, compute cumulative percent, then combine bar and line charts

B. Filter top 80% products by sales, then create a pie chart of sales

C. Calculate average sales per product and highlight those above average

D. Sort products alphabetically, then plot sales as bars without cumulative calculations

Solution

1. Step 1: Sort products by descending sales

   Sorting ensures the largest contributors appear first for cumulative calculation.

2. Step 2: Calculate running sum and cumulative percent

   Use RUNNING_SUM(SUM([Sales])) and divide by TOTAL(SUM([Sales])) to get cumulative percent.

3. Step 3: Combine bar chart for sales and line chart for cumulative percent

   This visual combination clearly shows which products contribute to 80% of sales.

4. Final Answer:

   Sort products by sales descending, calculate running sum of sales, compute cumulative percent, then combine bar and line charts -> Option A

5. Quick Check:

   Sort + running sum + combo chart = Pareto analysis [OK]

Hint: Sort descending, running sum, cumulative %, then combo chart [OK]

Common Mistakes:

• Filtering before calculating cumulative percent
• Using average instead of cumulative sum
• Not combining bar and line charts