Tutorial on Barplots using R’s ggplot Package

Author(s): Benjamin Obi Tayo Ph.D.

Originally published on Towards AI.

Using R’s “ggplot” package for barplots of three different datasets

This tutorial will discuss how bar plots can be generated using R’s ggplot package using 3 examples. Another tutorial on data visualization using python’s matplotlib package can be found here: Tutorial on Data Visualization: Weather Data.

This code plots the global market share for electric vehicles (EV) for selected countries using the global_EV_2016.csv dataset: The global EV data obtained from this report: https://www.iea.org/publications/freepublications/publication/GlobalEVOutlook2017.pdf.

The code for this example can be downloaded from this repository: https://github.com/bot13956/2016_market_share_electric_cars_using_R.

Import Necessary Libraries

library(readr)library(tidyverse)

Data Importation and Preparation

data<-read_csv("global_EV_2016.csv",col_names = FALSE)head(data)data<-data[-c(1,2),]names(data)<-c("country","sales_bev","stock_bev","sales_phev","stock_phev","shares")head(data)

Generate Barplot for Data Visualization

data%>%drop_na(shares)%>%mutate(shares=parse_number(shares))%>% filter(shares>=0.91)%>% ggplot(aes(reorder(country, shares),shares))+ geom_col(fill="blue")+ coord_flip()+ theme(axis.title.x=element_blank())+ theme(axis.title.y=element_blank())+ ggtitle("Market share of electric vehicles in selected countries (%)")

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Published via Towards AI