visualization bleg

Reblogged from re-musing:

Click to visit the original post

I've been thinking about how to visualize a set of categorical correspondence comparisons for a while now, and haven't really come up with a solution i'm satisfied with. So, i'm asking if someone out there can help me out. Basically what i have is 30 observations, and they are each differentially distributed over 6 groups. I want a way to (ideally visually) convey those differences.

Read more… 261 more words

I need some help visualizing quite a bit of categorical information. Any assistance welcomed.

4 Responses to visualization bleg

  1. hey jimi, I really like mosaic plots. Do you have any more info on precisely the types of comparisons you’re hoping to make? How are the rows/observations sorted currently? Sorting them differently might make different comparisons pop more.

  2. chiGuy98 says:

    Here is one approach to coding mosaic plots: http://is-r.tumblr.com/post/33290921643/simple-marimekko-mosaic-plots

    And here is a paper devoted to an R package for something similar, by the name of “product plots:” http://vita.had.co.nz/papers/prodplots.html

  3. jimi adams says:

    Yeah, there are details, but it gets murky quickly if i try to summarize all that quickly. Sorting is one thing i’m definitely going to do, but as i mentioned on a recent comment on the original posting of this (i have to figure out how to sort between posts to 2 blogs) part of my big conundrum here is that i actually want to look at how this correspondence changes through time (i have about 8-10 time slices over which these will be presented).

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Connecting to %s

Follow

Get every new post delivered to your Inbox.

%d bloggers like this: