How to calculate usage %

WizardOz

This is what I have:  Content ID and Product are meta data for a full list of documents.   When an user used a document, such as download, viewed etc,  there is a record for Library ID, user role, and user region etc.  When there is no Library ID, it means the document has not been used.   Now the stake holder wants to see the document usage %, meaning how many documents were used.  I can easily get content usage % by count(distinct 'Library ID')/count(distinct`Content ID`).  

 

However, the challenge is how to calculate the content usage % when they select a  filter about user roles, user region (I have more user related variables).  Hope I explained it clear.

 

Content id	product	Library ID	user role	user region
123	A	123	Manager	USA
234	A	234	Associate	Germany
124	B	124	Manager	USA
235	B	235	Associate	Canada
345	A
245	C
346	B
347	C
567	B

 

Product	content usage(%)
A	67% (=2/3)
B	50% (=2/4)
C	0% (=0/2)

 

 

When filter on User role - manager
Product	content usage(%)
A	33% (=1/3)
B	25% (=1/4)
C	0% (=0/2)

 

 

When filter on User Region - Germany
Product	content usage(%)
A	33% (=1/3)
B	0% (=0/4)
C	0% (=0/2)

 

0

REPLY

 

jaeW_at_Onyx

Gotcha covered @WizardOz ,

 

EDIT:  updated with sound:  https://youtu.be/Xb4QgKYgaqg

 

the short answer, you want to create a dataset with the granularity one row per user per content.   then JOIN it to the rows of actual engagement.  that way you can calculate did a user engage or not and take the ratio.

 

this model does not use COUNT DISTINCT so will scale with data volume AND respond to filters!

 

jaeW_at_Onyx

in the enumerator you only keep columns specific to engagement (in my case just libraryID b/c that's the PK for the table, userID, contentID and count_numerator.  

jaeW_at_Onyx

Gotcha covered @WizardOz ,

 

EDIT:  updated with sound:  https://youtu.be/Xb4QgKYgaqg

 

the short answer, you want to create a dataset with the granularity one row per user per content.   then JOIN it to the rows of actual engagement.  that way you can calculate did a user engage or not and take the ratio.

 

this model does not use COUNT DISTINCT so will scale with data volume AND respond to filters!

 

WizardOz

Hi Jae,

 

Wonder if it is just me - I coudl not hear anything in this youtube? I checked other youtube videos = no problem with sound.

 

Can you check and let me know?

 

Thank you.

jaeW_at_Onyx

Oh no!! Dang it.  I'll have to record it again tonight.  Sorry.

WizardOz

@jaeW_at_Onyx 

 

Hi Jae,

 

Thank you fo the video - I now understand the concept now.  I will work on the magic ETL .

 

But here is something I wanted to understand in general - 

 

When you create this new dataset in ETL, do you only select the fields you need or all fields from the original dataset in the numerator dataset? My original dataset has about 70 columns including some measurements.  when additional rows are added, the measurements  are also added.  So once the new dataset is ready, do you only use this new dataset to create cards for % in a dashboard,  and use the original dataset for other cards? 

 

Thank you for your help.

 

Olivia

 

 

 

jaeW_at_Onyx

in the enumerator you only keep columns specific to engagement (in my case just libraryID b/c that's the PK for the table, userID, contentID and count_numerator.