How to resolve the algorithm Rosetta Code/Rank languages by popularity step by step in the R programming language
Published on 12 May 2024 09:40 PM
How to resolve the algorithm Rosetta Code/Rank languages by popularity step by step in the R programming language
Table of Contents
Problem Statement
Sort the most popular computer programming languages based in number of members in Rosetta Code categories. Sample output on 02 August 2022 at 09:50 +02
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Rosetta Code/Rank languages by popularity step by step in the R programming language
Source code in the r programming language
library(rvest)
library(dplyr)
options(stringsAsFactors=FALSE)
# getting the required table from the rosetta website
langUrl <- "https://rosettacode.org/wiki/Rosetta_Code/Rank_languages_by_popularity/Full_list"
langs <- read_html(langUrl) %>%
html_nodes(xpath='/html/body/div/div/div[1]/div[3]/main/div[2]/div[3]/div[1]/table') %>%
html_table() %>%
data.frame() %>%
select(c("Rank","TaskEntries","Language"))
# changing the columns to required format
langs$Rank = paste("Rank: ",langs$Rank)
langs$TaskEntries = paste0("(", format(langs$TaskEntries, big.mark = ",")
," entries", ")")
names(langs) <- NULL
langs[1:10,]
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