I'm trying to extract data from tables inside some pdf reports.
I've seen some examples using either pdftools and similar packages I was successful in getting the text, however, I just want to extract the tables.
Is there a way to use R to recognize and extract only tables?
Awsome question, I wondered about the same thing recently, thanks!
I did it, with tabulizer ‘0.2.2’
as @hrbrmstr suggests too. If you are using R version 3.5.2, I'm providing following solution. Install the three packages in specific order:
# install.packages("rJava")
# library(rJava) # load and attach 'rJava' now
# install.packages("devtools")
# devtools::install_github("ropensci/tabulizer", args="--no-multiarch")
Update: After just testing the approach again, it looks like it's enough to just do install.packages("tabulizer")
now. rJava
will be installed automatically as a dependency.
Now you are ready to extract tables from your PDF reports.
library(tabulizer)
# specify an example and load it into your workspace
report <- "http://www.stat.ufl.edu/~athienit/Tables/Ztable.pdf"
lst <- extract_tables(report, encoding="UTF-8")
# peep into the doc for further specs (page, location etc.)!
# after examing the list you want to do some tidying
# 1st delete blank columns
lst[[1]] <- lst[[1]][, -3]
lst[[2]] <- lst[[2]][, -4]
# 2nd bind the list elements, if you want and create a df...
table <- do.call(rbind, lst)
table <- as.data.frame(table[c(2:37, 40:nrow(table)), ],
stringsAsFactors=FALSE) # ...w/o obsolete rows
# 3rd take over colnames, cache rownames to vector
colnames(table) <- table[1, ]
rn <- table[2:71, 1]
table <- table[-1,-1] # and bounce them out of the table
# 4th I'm sure you want coerce to numeric
table <- as.data.frame(apply(table[1:70,1:10], 2,
function(x) as.numeric(as.character(x))))
rownames(table) <- rn # bring back rownames
table # voilà
Hope it works for you.
Limitations: Of course, the table in this example is quite simple and maybe you have to mess around with gsub
and this kind of stuff.