Article Count per Tier

Data: The data set has 50 articles with the number of views per each article.  

 

Requirement:  Create a bar chart with 4 tiers that shows how many articles per tier based on number of views.  Also, assign a score to each tier.

 

This post will explain how to use the RANK_PERCENTILE function in Tableau Prep to create different tiers and assign a score for each record based on what tier the record belongs to.  The RANK_PERCENTILE function returns the percentile rank for the current row in the partition.

 

Here’re the steps:

 

1) Use aggregation to count # of articles per each view.

 

 

2) Create a Rank Percentile formula based on Views.

@Rank Percentile

{ORDERBY [Views] ASC: RANK_PERCENTILE() }

 

 

3) Create a ‘Tier Label’ formula based on 4 tiers. 

Tier1: 0% - 25%, Tier2: >25% - 50%, Tier3: >50% - 75%, and Tier4: >75% - 100%.

 

@Tier Label

if [Rank Percentile] <= 0.25 then 'Tier1'

elseif [Rank Percentile] > 0.25 and [Rank Percentile] <= 0.5 then 'Tier2'

elseif [Rank Percentile] > 0.5 and [Rank Percentile] <= 0.75 then 'Tier3'

else 'Tier4'

end

 

4) Join back to the original data set based on Views so that each article will have Tier Label.

 

 

5) Create a 'View Score' formula to assign a score based on tier label.

@View Score

CASE [Tier Label]

When 'Tier1' then 1

When 'Tier2' then 2

When 'Tier3' then 3

When 'Tier4' then 4

END