Use pdf() graphics device or rmarkdown::render() .
# Sales Analysis Data sourced from `Q3_Report.xlsx` on `r Sys.Date()`.
library(ggplot2) library(gridExtra) library(openxlsx)
R is a powerful programming language and environment for statistical computing and graphics. It's widely used by data analysts, data scientists, and researchers for data analysis, visualization, and modeling. However, for many users, especially those in business and finance, Excel remains the go-to tool for data analysis and reporting. The good news is that you can leverage the power of R directly within Excel using various tools and techniques. One such approach is through the use of R through Excel PDF, which enables seamless integration of R and Excel.
For complex reports with multiple tables and ggplot2 charts derived from Excel:
You have three primary options: , Sweave , or Exporting Graphics .
# Create a sample dataset data <- data.frame(Name = c("John", "Mary", "David"), Age = c(25, 31, 42))