Importing data into “zoo” objects¶
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
The data file “unemployment.csv” used below consists of data originally downloaded from the OECD Database website.
unemployment_z <- read.csv.zoo("unemployment.csv")
str(unemployment_z)
'zoo' series from 1970 to 1999
Data: num [1:30, 1:29] 0.557 0.689 0.912 1 2.132 ...
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:29] "Germany" "France" "Italy" "Netherlands" ...
Index: int [1:30] 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 ...
Text <- "2012/1/6 20
2012/1/7 30
2012/1/8 40
"
read.zoo(text=Text)
2012-01-06 2012-01-07 2012-01-08
20 30 40
read.zoo(text=Text,format="%Y/%m/%d")
2012-01-06 2012-01-07 2012-01-08
20 30 40
Text <- "date,time,x,y
2011-05-08,22:45:21,4,41
2011-05-08,22:45:22,5,42
2011-05-08,22:45:23,5,42
2011-05-08,22:45:24,6,43
"
zobj <- read.csv.zoo(text=Text,
index.column=1:2)
zobj
x y
2011-05-08 22:45:21 4 41
2011-05-08 22:45:22 5 42
2011-05-08 22:45:23 5 42
2011-05-08 22:45:24 6 43
- R file: importing-zoo-objects.R
- Rmarkdown file: importing-zoo-objects.Rmd
- Jupyter notebook file: importing-zoo-objects.ipynb
- Interactive version of the Jupyter notebook (shuts down after 60s):
- Interactive version of the Jupyter notebook (sign in required):