Nothing
## ----setup, include = FALSE----------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ------------------------------------------------------------------------
library(petro.One)
# provide the list of keywords
keywords <- "
gas lift
gas-lift
GasLift
gas.lift
gas_lift"
# convert the text to a dataframe
# read text table and split rows at carriage return
kw_tbl <- read.table(text = keywords, header = FALSE, sep = "\n",
stringsAsFactors = FALSE, strip.white = TRUE,
col.names = "keyword")
## ------------------------------------------------------------------------
# show the dataframe
kw_tbl
## ----rows.print = 20-----------------------------------------------------
# iterate through the keywords dataframe
rec <- vector("list")
i <- 1
for (k in kw_tbl$keyword) {
url_all <- make_search_url(query = k, how = "all") # create search query
count <- get_papers_count(url_all) # paper count
rec[[i]] <- list(keyword = k, count = count) # add observation
cat(sprintf("%30s %5d \n", k, count)) # print it
i <- i + 1 # increment counter
Sys.sleep(5) # do not bug OnePetro website too much
} # be a good internet citizen
## ------------------------------------------------------------------------
dt <- data.table::rbindlist(rec) # final data table
dt
## ---- echo=FALSE---------------------------------------------------------
total_count <- sum(dt$count)
percent_of_total <- (dt[keyword == "gas-lift"]$count +
dt[keyword == "gas lift"]$count) / total_count * 100
marginal <- dt[keyword == "gas.lift"]$count + dt[keyword == "gas_lift"]$count
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