Combine pages into a single data frame
The rbind_pages
function is used to combine a list of data frames into a single
data frame. This is often needed when working with a JSON API that limits the amount
of data per request. If we need more data than what fits in a single request, we need to
perform multiple requests that each retrieve a fragment of data, not unlike pages in a
book. In practice this is often implemented using a page
parameter in the API. The
rbind_pages
function can be used to combine these pages back into a single dataset.
rbind_pages(pages)
pages |
a list of data frames, each representing a page of data |
The rbind_pages
function generalizes base::rbind
and
plyr::rbind.fill
with added support for nested data frames. Not each column
has to be present in each of the individual data frames; missing columns will be filled
up in NA
values.
# Basic example x <- data.frame(foo = rnorm(3), bar = c(TRUE, FALSE, TRUE)) y <- data.frame(foo = rnorm(2), col = c("blue", "red")) rbind_pages(list(x, y)) baseurl <- "https://projects.propublica.org/nonprofits/api/v2/search.json" pages <- list() for(i in 0:20){ mydata <- fromJSON(paste0(baseurl, "?order=revenue&sort_order=desc&page=", i)) message("Retrieving page ", i) pages[[i+1]] <- mydata$organizations } organizations <- rbind_pages(pages) nrow(organizations) colnames(organizations)
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