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

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install packages pane showing an entry for installing the 'tidyverse' package
Click on the Packages tab in the Navigation 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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