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Using R to download zipped data file, extract, and import data

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How do I download a zip file in R?

You can use the download. file() function in R that allows us to download the zip file. The unzip() function in R allows you to unzip the zip file. Finally, you can use the read.

How do I extract data from a zip file?

Do one of the following: To unzip a single file or folder, open the zipped folder, then drag the file or folder from the zipped folder to a new location. To unzip all the contents of the zipped folder, press and hold (or right-click) the folder, select Extract All, and then follow the instructions.

Can you upload a zip file to R?

Instead of losing time unzipping the file manually, it's perfectly fine to load these files directly into R. Using base code, loading a compressed file containing one or two CSV files can be done using the unz function. You can even load files that are within a folder inside that ZIP file.

Can R unzip a file?

How to unzip files in R. To unzip the files in R, use the unzip() method. The unzip() method unpacks all the files and distributes them inside the current working directory. It will unpack the sources.


Zip archives are actually more a 'filesystem' with content metadata etc. See help(unzip) for details. So to do what you sketch out above you need to

  1. Create a temp. file name (eg tempfile())
  2. Use download.file() to fetch the file into the temp. file
  3. Use unz() to extract the target file from temp. file
  4. Remove the temp file via unlink()

which in code (thanks for basic example, but this is simpler) looks like

temp <- tempfile()
download.file("http://www.newcl.org/data/zipfiles/a1.zip",temp)
data <- read.table(unz(temp, "a1.dat"))
unlink(temp)

Compressed (.z) or gzipped (.gz) or bzip2ed (.bz2) files are just the file and those you can read directly from a connection. So get the data provider to use that instead :)


Just for the record, I tried translating Dirk's answer into code :-P

temp <- tempfile()
download.file("http://www.newcl.org/data/zipfiles/a1.zip",temp)
con <- unz(temp, "a1.dat")
data <- matrix(scan(con),ncol=4,byrow=TRUE)
unlink(temp)

I used CRAN package "downloader" found at http://cran.r-project.org/web/packages/downloader/index.html . Much easier.

download(url, dest="dataset.zip", mode="wb") 
unzip ("dataset.zip", exdir = "./")

For Mac (and I assume Linux)...

If the zip archive contains a single file, you can use the bash command funzip, in conjuction with fread from the data.table package:

library(data.table)
dt <- fread("curl http://www.newcl.org/data/zipfiles/a1.zip | funzip")

In cases where the archive contains multiple files, you can use tar instead to extract a specific file to stdout:

dt <- fread("curl http://www.newcl.org/data/zipfiles/a1.zip | tar -xf- --to-stdout *a1.dat")

Here is an example that works for files which cannot be read in with the read.table function. This example reads a .xls file.

url <-"https://www1.toronto.ca/City_Of_Toronto/Information_Technology/Open_Data/Data_Sets/Assets/Files/fire_stns.zip"

temp <- tempfile()
temp2 <- tempfile()

download.file(url, temp)
unzip(zipfile = temp, exdir = temp2)
data <- read_xls(file.path(temp2, "fire station x_y.xls"))

unlink(c(temp, temp2))