Comments on: An Easy Way to Make a Treemap

By: Luc Girardin

Luc Girardin — Wed, 05 May 2010 08:05:07 +0000

Dear Kevin,

There is a function in Macrofocus TreeMap to export into PowerPoint native format (and therefore allow modifications). In is in beta right now, but we would be happy to make it available to you…

By: Luc Girardin

Luc Girardin — Wed, 05 May 2010 08:02:01 +0000

Many thanks for the kind words! We will do our best to make Macrofocus TreeMap even better ;-)

By: JA Plamondon

JA Plamondon — Fri, 05 Mar 2010 18:08:54 +0000

Wow, really easy! Until now I could only dream about visualizing such maps. As a 5-year-on-and-off R user, this this comes as a nice surprise… It also seems worthy of an entry in R graph Gallery ++++
http://addictedtor.free.fr/gra.....rt=package

By: Twitter Weekly Updates 2010-02-23

Twitter Weekly Updates 2010-02-23 — Tue, 23 Feb 2010 08:59:14 +0000

[...] Easy Way to Make a Treemap! #rstats http://flowingdata.com/2010/02.....a-treemap/ [...]

By: [R] Minu esimesed sammud R-s « Timgluz'i kÃ¼berruumi projektsioon

[R] Minu esimesed sammud R-s « Timgluz'i kÃ¼berruumi projektsioon — Sun, 21 Feb 2010 14:43:24 +0000

[...] http://flowingdata.com/2010/02.....a-treemap/ [...]

By: Blog post popularity as a treemap [infographic] | dougbelshaw.com/blog

Blog post popularity as a treemap [infographic] | dougbelshaw.com/blog — Sat, 20 Feb 2010 07:02:45 +0000

[...] I really appreciate Nathan Yau’s guides over at FlowingData.com. Recently he had a great guide on how to create a ‘treemap’. I used slightly different variables (blog title, category, visitor time per post) and ended up [...]

By: Nathan Yau

Nathan Yau — Thu, 18 Feb 2010 03:44:53 +0000

R is notorious for inefficiency when it comes to big data, at least within a regular client. They’ve been doing a lot of work with R and distributed computing, I think…

anyways, back to your problem. i’m not completely sure what you’re after, but you can do subsetting in R with something like this:

financedata <- financedata[financedata$amount < 5,]

This is assuming you did a read.csv() stored into a dataframe named ‘financedata’. hth.

By: Vlad G.

Vlad G. — Wed, 17 Feb 2010 22:57:43 +0000

What about Data Applied? Their free plan keeps visualizations private (or you can embed in HTML to share). I find their stuff slightly better than Many Eyes, except for text mining.

By: What Are You Blogging? :: A slow day at work….

What Are You Blogging? :: A slow day at work…. — Tue, 16 Feb 2010 21:18:37 +0000

[...] sources for everyone currently in congress. Data: scraped from opensecrets.org Graphing reference: Flowing Data Total time devoted: 2.5-3 [...]

By: Eli

Eli — Tue, 16 Feb 2010 19:52:34 +0000

I’ve noticed that R crashes when calling map.market on large data sets. For example, I took a CSV file with about 52,000 items and tried to call map.market on it. On a machine with 4 gigs of RAM, R began using more and more RAM until it got to about 1.5 gigs. Then it crashed.

The dataset I was using included individual orders. I’m guessing I need to aggregate the data in some way, perhaps using tiers for things like the amount of the order ($0.01-$5.00, $5.01-$10.00, etc). But since a treemap involves multiple dimensions, I’m guessing I would need to aggregate the data in multiple dimensions.

I have an idea of how to do this in SQL with subqueries and group by statements. Can someone give me an idea of how to do this in R with a dataset that starts look looking like the following csv file?

id,report_type,category,market,product_id,created_on,ordered_qty,amount,shipping_amount,shipping_type
42538359,NEW,Dvds,SomeMarket,Z000BT99CK,2/7/2010 15:59,1,23.95,2.98,Standard

Also, do you know the upper limit on how many rows map.market is capable of handling?

I know I’m asking a lot here as a brand spankin’ new user to R, so perhaps even pointing me in the right direction where I could find more info would be helpful.

Thanks.