Introduction R could be an useful language not only to conduct statistical analysis but complete some functional jobs at fast speed with little human interference. The XML validation is a process that R could handle perfectly and even works better than many paid business softwares. It is extremely flexible and could automate the process and operate for multiple files simultaneously. title: "Untitled" author: "JIASHU MIAO" date: "2/6/2020" output: html_document library(dplyr) library(magrittr) sum(is.na(c(2,3 ))) # install.packages("xml2") doc <- xml2::read_xml(file.choose()) schema <- xml2::read_xml(file.choose()) xml2::xml_validate(doc,schema) validation <- xml2::xml_validate(doc,schema) print(attr(validation,"errors")) one <- mtcars[1:4, ] two <- mtcars[11:14, ] list(one,two) # You can supply data frames as arguments: # The contents of lists is automatically spliced: identical(bind_rows(one, two),bind_rows(list(one, two))) bind_rows(list(one, two), list(two, one)) Previous Handling Big Data in R Next Energy Consumption Calculation Based on Differnt Time and Price (Tarrif) Using Python CATALOG FEATURED TAGS R Project Python Data Mining Data Exploration Classification Machine Learning Data Science Bigdata Jupyter Excel Tableau Interactive Dashboard Jupyter Server NLP Text Analytics Sleep Quality Data Scien