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dnaman
Helper I
Helper I

Visualization ideas to represent hierarchical data and counts

Hi All,

Hoping you can help suggest visualization ideas on how to represent hierarchical data and counts over time. 

My data set is about software release frequency, by product, over time.

The data hierarchy for the software is 3 levels (program level --> hub level (2nd level) --> product level (3rd level).

I would like to show the total count of releases by each of those levels, over time (year or month).

I would like the user to be able to select any of those hierarchical levels, and date, and then see total counts.

 

Currently, we have it split into two pages (1 page to show by product, 1 page to show by hub), but maybe it would be nicer to have in one page.

 

dnaman_0-1636650195739.png

 

This is a sample of it, by hub, on one page. 

 

Any ideas/suggestions or even sample reports representing this same type of data info, would be most appreciated!

Thx in advance.

1 ACCEPTED SOLUTION
v-angzheng-msft
Community Support
Community Support

Hi, @dnaman 

 

You could try to use Drill-down or Small multiples to achieve it.

 

Stack column chart:

vangzhengmsft_0-1636948730060.pngvangzhengmsft_1-1636948735954.png

 

vangzhengmsft_2-1636948744370.png

Please refer to the attachment below for details.

Hope this helps.

 

 

Best Regards,
Community Support Team _ Zeon Zheng


If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
v-angzheng-msft
Community Support
Community Support

Hi, @dnaman 

 

You could try to use Drill-down or Small multiples to achieve it.

 

Stack column chart:

vangzhengmsft_0-1636948730060.pngvangzhengmsft_1-1636948735954.png

 

vangzhengmsft_2-1636948744370.png

Please refer to the attachment below for details.

Hope this helps.

 

 

Best Regards,
Community Support Team _ Zeon Zheng


If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

thx! Great ideas and I will try and test with my data

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