readabs | tidy time series data from the Australian Bureau | Data Visualization library
kandi X-RAY | readabs Summary
kandi X-RAY | readabs Summary
{readabs} helps you easily download, import, and tidy data from the Australian Bureau of Statistics within R. This saves you time manually downloading and tediously tidying data and allows you to spend more time on your analysis.
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readabs Key Features
readabs Examples and Code Snippets
library(readabs)
#> Environment variable 'R_READABS_PATH' is unset. Downloaded files will be saved in a temporary directory.
#> You can set 'R_READABS_PATH' at any time. To set it for the rest of this session, use
#> Sys.setenv(R_READABS_PA
read_payrolls()
#> File downloaded in /var/folders/_4/ngvkm2811nbd8b_v66wytw1r0000gn/T//Rtmp3viWaA/6160055001_DO004.xlsx
#> # A tibble: 76,718 × 7
#> state industry sex age date value series
#>
payrolls_t4_path <- download_abs_data_cube("weekly-payroll-jobs-and-wages-australia", "004")
#> File downloaded in /var/folders/_4/ngvkm2811nbd8b_v66wytw1r0000gn/T//Rtmp3viWaA/6160055001_DO004.xlsx
payrolls_t4_path
#> [1] "/var/folders/_4/n
Community Discussions
Trending Discussions on readabs
QUESTION
I'm doing a script for kew-word finding in a text (in R language). For now I can only get a .csv (abstract_atomized.csv) list of words atomized and classified according to their frequency. I have another .csv list with the set of common and useless english words (wordlistenglish.csv) that I would like to remove from my first list in order to keep only the relevant elements. I do not know how I could do this effectively on R. Could you help me?
Thanks.
...ANSWER
Answered 2019-Apr-23 at 19:43This is the general format you should use, adapted to your actual data structure:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install readabs
The ABS (generally) releases time series data in a standard format, which allows read_abs() to download, import and tidy it (see above). But not all ABS data is time series data - the ABS also releases data as ‘data cubes’. These are all formatted in their own, unique way. Unfortunately, because data cubes are all formatted in their own way, there is no one function that can import tidy data cubes for you in the same way that read_abs() works with all time series. But {readabs} still has functions that can help.
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