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base-plotting

Base plotting

Last reviewed Jun 1, 2026 Content v20260601
Track mode
server_script
Means
Server runner
Reading
~1 min
Level
intermediate

This lesson

This lesson teaches Base plotting: the syntax, patterns, and safety habits you need before advancing in R.

Teams still ship Base plotting in R codebases—skipping it leaves gaps in debugging and code reviews.

You will apply Base plotting in contexts like: Publication charts, EDA notebooks, and stakeholder dashboards.

Write R in the editor and click Run on server—the dev runner executes with Rscript; use print() or cat() and base R in playground snippets (tidyverse locally; LEARNING_RUNNER_ENABLED=true).

When you can explain the previous lesson's ideas without copying starter code.

Base R includes plot(), hist(), and boxplot()—quick exploratory charts without extra packages. The playground can run simple base plots; output may appear in local graphics devices.

Scatter and line

x <- c(1, 2, 3, 4)
y <- c(2, 4, 3, 5)
plot(x, y, main = "Scores", xlab = "Week", ylab = "Value")

Histogram

vals <- c(10, 12, 14, 18, 23, 25)
hist(vals, main = "Distribution", col = "steelblue")

Base plots are imperative—each call draws on the active device. ggplot2 (local) uses a grammar of layers instead.

Important interview questions and answers

  1. Q: plot() vs ggplot2?
    A: base plot() is quick and built-in; ggplot2 builds layered grammar-of-graphics charts locally.
  2. Q: Graphics in Rscript?
    A: Scripts may need png()/pdf() devices locally; playground focuses on data prep and print summaries.

Self-check

  1. What function draws a histogram in base R?
  2. Name two plot arguments for axis labels.

Tip: Base plot() works offline; save with png() locally when you need files.

Interview prep

plot vs hist?

plot(x,y) scatter/line; hist() distribution of one variable.

Interview tip Lesson completion confidence

Can you explain this lesson in 30 seconds without reading notes?

Not saved yet.

Playground

Runs on the configured server runner (dev: npm run runner with LEARNING_RUNNER_ENABLED=true). Output appears below the editor.

Check yourself

Multiple choice — immediate feedback.

Discussion

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Starter discussion topics

  • plot() quick EDA?
  • par(mfrow)?

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