R Lesson 5: ggplot2 Charts
Make clean charts with ggplot2: the aesthetics-geometry idea, bar and line charts, ordering bars, labels and themes, and saving PNGs for reports.
Read article →Excel, SAP, Oracle & automation tips — plus wacky facts
Statistics and data analysis with R.
Statistics and data analysis with R.
📄 8 articles⬇️ 8 with practice files🕒 Updated 12 Oct 2026
🎓 Start here: Rust Course → 🎓 Start here: Java Course → 🎓 Start here: R Course →Make clean charts with ggplot2: the aesthetics-geometry idea, bar and line charts, ordering bars, labels and themes, and saving PNGs for reports.
Read article →Build bar, line and scatter charts in R with ggplot2, and learn the “grammar of graphics” idea that makes every chart the same few…
Read article →Analyse data with dplyr verbs: filter rows, mutate new columns, arrange, group_by and summarise — the R equivalent of filters, formulas and pivot tables.
Read article →Combine reading, dplyr and ggplot2 into a repeatable analysis: KPIs, product summary, charts and output files, plus a pointer to R Markdown/Quarto reports.
Read article →Load data into R with readr::read_csv and readxl::read_excel, check columns and types, handle dates and missing values, and write results back out.
Read article →R’s building blocks: vectors and vectorised maths, data frames as tables, selecting rows and columns, and checking structure with str and summary.
Read article →Install R and RStudio, find your way around the four panes, run code in the console and scripts, install packages, and set a project…
Read article →Start with R using a task you know from Excel: import a spreadsheet, summarise it by group, and draw a chart — in about…
Read article →Bones are stronger than steel of the same weight.
Weight for weight, bone is remarkably strong, especially under compression, because of its mix of collagen and mineral.