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.
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
@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
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.
- http://bl.ocks.org/timelyportfolio/5351448
- http://bl.ocks.org/timelyportfolio/5342818
- http://bl.ocks.org/timelyportfolio/5322390
- http://bl.ocks.org/timelyportfolio/5316682
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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