Creating a “zoo” object from OECD unemployment data¶
The data file “unemployment.csv” used below consists of data originally downloaded from the OECD Database website.
unemployment <- read.csv("unemployment.csv")
The following makes use of the zoo package. You may need to install it from
CRAN using the code
install.packages("zoo")
if you want to run this on your computer. (The
package is already installed on the notebook container, however.)
library(zoo)
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
unemployment.z <- zoo(unemployment[,2:7],
order.by=as.Date(
ISOdate(year=unemployment[,1],
month=12,
day=31)))
dim(unemployment.z)
[1] 30 6
class(unemployment.z)
[1] "zoo"
head(unemployment.z)
Germany France Italy Netherlands Belgium Luxembourg
1970-12-31 0.557 2.477 4.000 0.868 1.913 NA
1971-12-31 0.689 2.712 4.001 1.213 1.848 NA
1972-12-31 0.912 2.806 4.711 2.114 2.350 NA
1973-12-31 1.000 2.690 4.691 2.151 2.408 NA
1974-12-31 2.132 2.853 3.942 2.624 2.523 0.067
1975-12-31 3.965 4.028 4.312 3.772 4.522 0.200
start(unemployment.z)
[1] "1970-12-31"
end(unemployment.z)
[1] "1999-12-31"
end(unemployment.z) - start(unemployment.z)
Time difference of 10592 days
# Saved for later use:
save(unemployment.z,file="unemployment-z.RData")
- R file: creating-zoo-objects-unemployment.R
- Rmarkdown file: creating-zoo-objects-unemployment.Rmd
- Jupyter notebook file: creating-zoo-objects-unemployment.ipynb
- Interactive version of the Jupyter notebook (shuts down after 60s):
- Interactive version of the Jupyter notebook (sign in required):