All Images

Before we Start

Figure 1

Two images of a DMC Delorian: left is a standard model and on the right is one that has been modified into the time machine from 'Back To The Future'
RStudio extends what R can do, and makes it easier to write R code and interact with R. Left photo credit; right photo credit.

Figure 2

screenshot of RStudio with labels of the four panes as described below
R Studio

Figure 3

install packages pane showing an entry for installing the 'tidyverse' package
Click on the Packages tab in the Files, Plots, Packages, and Help pane to download packages from CRAN.

Introduction to R

Starting with Data

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Diagram of a Working Directory, with folders for data, data output, documents, fig output, and scripts

Figure 2

RStudio environment pane showing one object 'books' with 10000 observations of 12 variables
The books CSV loaded as a tibble in your R environment

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A graphical depiction of a data frame. The first vector (column) is numeric; the second is character, and the third is logical.

Data cleaning & transformation with dplyr

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Screen capture of window that says 'Select Me' with categories like Archival collections and Reference
Sub-Collection (formerly BCODE1) export from Sierra

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Screen capture of window that says 'Select Me' with items like 'Archives' and 'E-Book'
Format (formerly BCODE2) export from Sierra

Data Visualisation with ggplot2

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Three line plots, one each for general collection, juvenile, and K-12 sub-collection materials, showing the relationship of count of books to publication year

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Reproducible Reports with Quarto

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Bibliometrics with OpenAlex

Figure 1

Bar chart of Public Knowledge Project publications by year, showing a handful of works per year from 2005 through 2024, then a sharp jump to 20 works in 2025 and 28 in 2026

Figure 2

Horizontal bar chart of Public Knowledge Project's top research fields by number of distinct works, led by Computer Science and Decision Sciences