make_refreshable {refreshr} | R Documentation |
Making dataframes/tables refreshable
Description
Makes a dataframe/table refreshable, i.e. connects it with a data source and specifies code that is applied to the raw data after the data has been loaded (optional).
Usage
make_refreshable(df, load_code, prep_code = NULL)
Arguments
df |
The dataframe/table that is to be made refreshable |
load_code |
The code used to load the data from the data source. Please not that quotes need to be escaped (code\"). |
prep_code |
The code used to transform the raw data downloaded from the
data source. The placeholder |
Value
A dataframe/table of class refreshr
that can be refreshed by
calling refresh()
.
Examples
## Not run:
library(data.table)
library(dplyr)
# Load US unemployment rate from Bureau of Labor Statistics
data <- fread("https://download.bls.gov/pub/time.series/ln/ln.data.1.AllData", sep="\t")
# Make refreshable and specify code for data preparation (filter raw data for
# the overall US employment rate) with # being a placeholder for the downloaded
# raw data
data_refresh <- make_refreshable(data,
load_code = "data.table::fread(
\"https://download.bls.gov/pub/time.series/ln/ln.data.1.AllData\",
sep=\"\t\")",
prep_code = "filter(#, series_id==\"LNS14000000\")")
# Save refreshable dataframe as RData file (e.g. to share dataset with coworkers or public)
save(data_refresh, file = "refresh.RData")
# Remove dataframe and reload it from file
rm(data_refresh)
load(file = "refresh.RData")
# Refresh the dataframe
data_refresh <- refresh(data_refresh)
# Show properties of refreshable dataframe
properties(data_refresh)
# Check if refreshable dataframe is up-to-date with the remote data source
uptodate(data_refresh)
## End(Not run)
[Package refreshr version 0.1.0 Index]