Banging on the JGBs

klr

9 years ago

[This article was first published on Timely Portfolio, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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Since I have not posted in quite a while, I wanted to let everyone know that I am still alive and kicking. The resurrection of excitement (opportunity) in the markets, quarterly reporting cycle, and the overwhelming number of unbelievable R/javascript releases have kept me from writing something good enough to justify a post. In the markets, Japan and gold bring a smile to my face. Nothing particularly new on the quarterly reporting cycle, but I have been watching the interesting ideas at http://axysreporting.com closely, and I have enjoyed learning a little about http://addepar.com. Nothing though impresses me as much as all of the R and javascript packages that have been announced over the last two weeks. I mentioned them in my post d3 Lifeline from vega and clickme, but I forgot to include Introducing the healthvis R package – one line D3 graphics with R from Jeff Leek who taught https://www.coursera.org/course/dataanalysis, and rCharts was not yet released. rCharts reminded me of the very special slidify package that I have to my own detriment not used until now. I strongly, strongly recommend readers to thoroughly look at rCharts and slidify. Just to make sure everyone sees all of these, I have relisted them and added new links below with the Twitter announcements.

vega

Announcing Vega, a new visualization grammar built on #d3js! Design reusable chart components in a JSON format trifacta.github.com/vega
— Jeffrey Heer (@jeffrey_heer) April 2, 2013

rCharts from the same creator as slidify

@lisaczhang I wrote an R package wrapping functionality of Polycharts for R users. ramnathv.github.io/rCharts
— Ramnath Vaidyanathan (@ramnath_vaidya) April 10, 2013

clickme

@xieyihui I’d love your feedback on clickme, an R package to populate JS visualizations using #knitr bitly.com/vizbi_clickme
— Nacho Caballero (@nachocaballero) March 24, 2013

rhealthvis

Our package is announced today! healthvis.org
— rhealthvis (@rhealthvis) April 2, 2013

Now to show some of the results from my experiments, I will list some bl.ocks below. The primary data source for all of these has been the Japanese Government Bond (JGB) yield data provided by the Japanese Ministry of Finance. I will discuss the reasons for choosing JGBs in a much more thorough later post. I would love thoughts on JGBs and my experiments.

http://bl.ocks.org/timelyportfolio/5407807 JGB Yields in Small Multiples with clickme ractive
http://bl.ocks.org/timelyportfolio/5405240 JGB Yield Curve with a vega spec and clickme ractive
http://bl.ocks.org/timelyportfolio/5398614 JGB Yields Line Chart with a vega spec and clickme ractive

Some of my other more basic experiments are here. These might be helpful to anyone not yet familiar with these new resources.

I’ll be back soon with what I hope is a very impressive slidify created market-related post. Until then, please let me know what you think, or show your relevant experiments.

Thanks to everyone that has worked so hard creating these great open source projects.

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