# Check and Install missing packages if any if(!require(rvest)){ install.packages("rvest", lib="/usr/lib/R/site-library", repos="http://ftp.heanet.ie/mirrors/cran.r-project.org/") } if(!require(devtools)){ install.packages("devtools", lib="/usr/lib/R/site-library", repos="http://ftp.heanet.ie/mirrors/cran.r-project.org/") } if(!require(htmlwidgets)) devtools::install_github("ramnathv/htmlwidgets") # :: if(!require(rpivotTable)) devtools::install_github("smartinsightsfromdata/rpivotTable") # :: require(rvest) require(htmlwidgets) require(rpivotTable) # Get the data from an internet site (or by other means in other cases) site <- "https://dev.tiki.org/Tiki15" file<-read_html(site) tables<-html_nodes(file, "table") # Data is in the only table in that page table1 <- html_table(tables[1], fill = TRUE) # Convert list to data frame table1 <- as.data.frame(table1) # Two extra commands for quick look inthe R console to the data structure and first 6 row of values. Uncomment if needed. #str(table1) #head(table1) # Create the pivot table and save html on disk #pt <- rpivotTable(table1) pt <- rpivotTable(data = table1, rows = c("Submitted.By","Category"), cols=c("Resolution.Status","Importance"), vals = "Title", aggregatorName = "Count", rendererName = "Heatmap", width="100%", height="800px") saveWidget(pt, file="tiki15_pivottable.html", selfcontained = FALSE)
Open PIVOT TABLE in new window
{iframe name="myChart" width="1000" height="1500" align="middle" frameborder="0" marginheight="0" marginwidth="0" scrolling="auto" src="temp/cache/r.tiki.org/R_r_test15_pivottables/tiki15_pivottable.html"}