Federal Reserve Bank API(api.stlouisfed.org)
api.stlouisfed.org
Federal Reserve Bank API
http://api.stlouisfed.org/docs/fred/
8 comments
At datamarket.com we have put all of this data into our system, see http://datamarket.com/data/list/?q=provider:225 which makes visualisation a snap.
The missing documentation:
/savers/delete -- suppress interest rates to ruin savings (aliases: /banks/addcash, /stocks/pumpup )
/banks/bailout -- returns the "banker bonus" object
/fed/audit -- 404
/savers/delete -- suppress interest rates to ruin savings (aliases: /banks/addcash, /stocks/pumpup )
/banks/bailout -- returns the "banker bonus" object
/fed/audit -- 404
Why so much hate? Better access to data is generally a good thing. You could use it to build a proper argument on a political level, instead of resorting to this kind of snarkiness.
i detected no hate. only humor. and a bit of sting that usually comes from a kernal of truth.
Agreed.
Sometimes on HN we get a blog post announcing a new library, or cool hack, or something like that. When that happens, I usually crawl the author's about page and online presence.
I'm looking for embarrassing details that are unrelated to the post being discussed. Then, I usually leave a comment on HN to the effect of "man, this guy's fat and probably has never been touched by a woman."
No hate, only humor. It might sting but it's probably true also. Who cares if it's an irrelevant non-contribution?
Sometimes on HN we get a blog post announcing a new library, or cool hack, or something like that. When that happens, I usually crawl the author's about page and online presence.
I'm looking for embarrassing details that are unrelated to the post being discussed. Then, I usually leave a comment on HN to the effect of "man, this guy's fat and probably has never been touched by a woman."
No hate, only humor. It might sting but it's probably true also. Who cares if it's an irrelevant non-contribution?
I laughed ;)
[deleted]
rocks - in R, just
http://research.stlouisfed.org/fred2/graph/
library(quantmod)
getSymbols("CPIAUCNS", src="FRED")
library(ggplot2)
CPIPCT = data.frame(CPIAUCNS / lag(CPIAUCNS,12) * 100 -100)
CPIPCT$date= as.Date(rownames(CPIPCT))
CPIPCT <- tail(CPIPCT, 240)
CPI.m <- melt(CPIPCT, id = 'date')
ggplot(data=CPI.m, aes(x=date, y=value, colour=variable)) + ylab("YoY % Change") + theme_bw() + scale_x_date("") + geom_line(size=1.4) + opts(plot.background = theme_rect(colour = 'black', fill = '#CCCCEE', size = 1, linetype='solid'), legend.position="top") + scale_colour_manual("CPI", breaks=c("CPIAUCNS"), values = c("#0000CC"), labels=c('All Urban'))
http://research.stlouisfed.org/fred2/graph/
Do you have any recommendations for accessible R tutorials? I would love to get into this a little bit more. R seems quite effective for these kinds of things.
These are a few in my bookmarks:
Quick-R http://www.statmethods.net/index.html
R for Programmers http://en.wikibooks.org/wiki/R_Programming
SurviveR http://www.win-vector.com/blog/2009/09/survive-r/
Official intro http://cran.r-project.org/doc/manuals/R-intro.html
Might depend on your definition of accessible LOL
Stack Overflow also very helpful - http://stackoverflow.com/questions/tagged/r
Rseek http://www.rseek.org/
R-Help http://r.789695.n4.nabble.com/R-help-f789696.html
Quick-R http://www.statmethods.net/index.html
R for Programmers http://en.wikibooks.org/wiki/R_Programming
SurviveR http://www.win-vector.com/blog/2009/09/survive-r/
Official intro http://cran.r-project.org/doc/manuals/R-intro.html
Might depend on your definition of accessible LOL
Stack Overflow also very helpful - http://stackoverflow.com/questions/tagged/r
Rseek http://www.rseek.org/
R-Help http://r.789695.n4.nabble.com/R-help-f789696.html
meant to post this one - R for Programmers -
http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf
http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf
Not a tutorial, but I found the R Graph gallery helpful. When I first got started I typically just poked around for something interesting, downloaded the source and started tweaking parameters and/or loading in new data sets. It can be daunting to create graphs from scratch in R without experience - I found these provided some good training wheels.
http://addictedtor.free.fr/graphiques/
http://addictedtor.free.fr/graphiques/
I'm looking forward to the next version when they release the API to access the discount window.
Hello $money.
More specifically this is an API to FRED (Federal Reserve Economic Data).
Many (most?) of the graphs you seen on econ blogs/columns/news articles, even popular ones, are generated using FRED.
Many (most?) of the graphs you seen on econ blogs/columns/news articles, even popular ones, are generated using FRED.
Alex Jones mentions New York, then Kansas as the two biggest Fed posts: http://www.youtube.com/watch?v=t1Tn61Y0Cfw&feature=playe...
This is a gold mine